Xuanjing Huang

Orcid: 0000-0001-9197-9426

Affiliations:
  • Fudan University, School of Computer Science, Shanghai Key Laboratory of Intelligent Information Processing, Shanghai, China


According to our database1, Xuanjing Huang authored at least 507 papers between 1997 and 2024.

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Bibliography

2024
MOSS: An Open Conversational Large Language Model.
Mach. Intell. Res., October, 2024

CausalABSC: Causal Inference for Aspect Debiasing in Aspect-Based Sentiment Classification.
IEEE ACM Trans. Audio Speech Lang. Process., 2024

AI-Press: A Multi-Agent News Generating and Feedback Simulation System Powered by Large Language Models.
CoRR, 2024

Tell Me What You Don't Know: Enhancing Refusal Capabilities of Role-Playing Agents via Representation Space Analysis and Editing.
CoRR, 2024

Empirical Insights on Fine-Tuning Large Language Models for Question-Answering.
CoRR, 2024

DetectiveQA: Evaluating Long-Context Reasoning on Detective Novels.
CoRR, 2024

Identity-Driven Hierarchical Role-Playing Agents.
CoRR, 2024

Overview of AI-Debater 2023: The Challenges of Argument Generation Tasks.
CoRR, 2024

Case2Code: Learning Inductive Reasoning with Synthetic Data.
CoRR, 2024

MedBench: A Comprehensive, Standardized, and Reliable Benchmarking System for Evaluating Chinese Medical Large Language Models.
CoRR, 2024

Synergistic Multi-Agent Framework with Trajectory Learning for Knowledge-Intensive Tasks.
CoRR, 2024

What's Wrong with Your Code Generated by Large Language Models? An Extensive Study.
CoRR, 2024

Infer Induced Sentiment of Comment Response to Video: A New Task, Dataset and Baseline.
CoRR, 2024

HAF-RM: A Hybrid Alignment Framework for Reward Model Training.
CoRR, 2024

Enhancing the Capability and Robustness of Large Language Models through Reinforcement Learning-Driven Query Refinement.
CoRR, 2024

LLMs-as-Instructors: Learning from Errors Toward Automating Model Improvement.
CoRR, 2024

SafeAligner: Safety Alignment against Jailbreak Attacks via Response Disparity Guidance.
CoRR, 2024

Cross-Modality Safety Alignment.
CoRR, 2024

Overview of the CAIL 2023 Argument Mining Track.
CoRR, 2024

SPA-VL: A Comprehensive Safety Preference Alignment Dataset for Vision Language Model.
CoRR, 2024

Beyond Boundaries: Learning a Universal Entity Taxonomy across Datasets and Languages for Open Named Entity Recognition.
CoRR, 2024

Toward Optimal LLM Alignments Using Two-Player Games.
CoRR, 2024

AgentGym: Evolving Large Language Model-based Agents across Diverse Environments.
CoRR, 2024

Advancing Spiking Neural Networks for Sequential Modeling with Central Pattern Generators.
CoRR, 2024

Exploring the Compositional Deficiency of Large Language Models in Mathematical Reasoning.
CoRR, 2024

MetaRM: Shifted Distributions Alignment via Meta-Learning.
CoRR, 2024

EasyJailbreak: A Unified Framework for Jailbreaking Large Language Models.
CoRR, 2024

Decoding Continuous Character-based Language from Non-invasive Brain Recordings.
CoRR, 2024

Debatrix: Multi-dimensinal Debate Judge with Iterative Chronological Analysis Based on LLM.
CoRR, 2024

CodeChameleon: Personalized Encryption Framework for Jailbreaking Large Language Models.
CoRR, 2024

LLM-DA: Data Augmentation via Large Language Models for Few-Shot Named Entity Recognition.
CoRR, 2024

On the Tip of the Tongue: Analyzing Conceptual Representation in Large Language Models with Reverse-Dictionary Probe.
CoRR, 2024

LongAgent: Scaling Language Models to 128k Context through Multi-Agent Collaboration.
CoRR, 2024

Advancing Translation Preference Modeling with RLHF: A Step Towards Cost-Effective Solution.
CoRR, 2024

Benchmark Self-Evolving: A Multi-Agent Framework for Dynamic LLM Evaluation.
CoRR, 2024

Are Large Language Models Good Prompt Optimizers?
CoRR, 2024

StepCoder: Improve Code Generation with Reinforcement Learning from Compiler Feedback.
CoRR, 2024

CauESC: A Causal Aware Model for Emotional Support Conversation.
CoRR, 2024

MouSi: Poly-Visual-Expert Vision-Language Models.
CoRR, 2024

F-Eval: Asssessing Fundamental Abilities with Refined Evaluation Methods.
CoRR, 2024

Open the Pandora's Box of LLMs: Jailbreaking LLMs through Representation Engineering.
CoRR, 2024

Secrets of RLHF in Large Language Models Part II: Reward Modeling.
CoRR, 2024

LLaMA Beyond English: An Empirical Study on Language Capability Transfer.
CoRR, 2024

ToolEyes: Fine-Grained Evaluation for Tool Learning Capabilities of Large Language Models in Real-world Scenarios.
CoRR, 2024

Empowering LLMs for Long-Text Information Extraction in Chinese Legal Documents.
Proceedings of the Natural Language Processing and Chinese Computing, 2024

Self-Demos: Eliciting Out-of-Demonstration Generalizability in Large Language Models.
Proceedings of the Findings of the Association for Computational Linguistics: NAACL 2024, 2024

ReForm-Eval: Evaluating Large Vision Language Models via Unified Re-Formulation of Task-Oriented Benchmarks.
Proceedings of the 32nd ACM International Conference on Multimedia, MM 2024, Melbourne, VIC, Australia, 28 October 2024, 2024

Training Large Language Models for Reasoning through Reverse Curriculum Reinforcement Learning.
Proceedings of the Forty-first International Conference on Machine Learning, 2024

Efficient and Effective Time-Series Forecasting with Spiking Neural Networks.
Proceedings of the Forty-first International Conference on Machine Learning, 2024

Improving Generalization of Alignment with Human Preferences through Group Invariant Learning.
Proceedings of the Twelfth International Conference on Learning Representations, 2024

A Soft Contrastive Learning-Based Prompt Model for Few-Shot Sentiment Analysis.
Proceedings of the IEEE International Conference on Acoustics, 2024

Promoting Data and Model Privacy in Federated Learning through Quantized LoRA.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2024, 2024

Inference-Time Decontamination: Reusing Leaked Benchmarks for Large Language Model Evaluation.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2024, 2024

Unveiling and Consulting Core Experts in Retrieval-Augmented MoE-based LLMs.
Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing, 2024

Exploring the Compositional Deficiency of Large Language Models in Mathematical Reasoning Through Trap Problems.
Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing, 2024

TransferTOD: A Generalizable Chinese Multi-Domain Task-Oriented Dialogue System with Transfer Capabilities.
Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing, 2024

LLMs-as-Instructors: Learning from Errors Toward Automating Model Improvement.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2024, 2024

Explicit Memory Learning with Expectation Maximization.
Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing, 2024

RoTBench: A Multi-Level Benchmark for Evaluating the Robustness of Large Language Models in Tool Learning.
Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing, 2024

Inverse-Q*: Token Level Reinforcement Learning for Aligning Large Language Models Without Preference Data.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2024, 2024

Reward Modeling Requires Automatic Adjustment Based on Data Quality.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2024, 2024

Searching for Best Practices in Retrieval-Augmented Generation.
Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing, 2024

LongHeads: Multi-Head Attention is Secretly a Long Context Processor.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2024, 2024

Scaling Laws for Fact Memorization of Large Language Models.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2024, 2024

Improving Discriminative Capability of Reward Models in RLHF Using Contrastive Learning.
Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing, 2024

LONGAGENT: Achieving Question Answering for 128k-Token-Long Documents through Multi-Agent Collaboration.
Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing, 2024

PDF-to-Tree: Parsing PDF Text Blocks into a Tree.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2024, 2024

ORTicket: Let One Robust BERT Ticket Transfer across Different Tasks.
Proceedings of the 2024 Joint International Conference on Computational Linguistics, 2024

Subspace Defense: Discarding Adversarial Perturbations by Learning a Subspace for Clean Signals.
Proceedings of the 2024 Joint International Conference on Computational Linguistics, 2024

RoCoIns: Enhancing Robustness of Large Language Models through Code-Style Instructions.
Proceedings of the 2024 Joint International Conference on Computational Linguistics, 2024

Aggregation of Reasoning: A Hierarchical Framework for Enhancing Answer Selection in Large Language Models.
Proceedings of the 2024 Joint International Conference on Computational Linguistics, 2024

PASUM: A Pre-training Architecture for Social Media User Modeling Based on Text Graph.
Proceedings of the 2024 Joint International Conference on Computational Linguistics, 2024

Domain Generalization via Causal Adjustment for Cross-Domain Sentiment Analysis.
Proceedings of the 2024 Joint International Conference on Computational Linguistics, 2024

Multi-Objective Forward Reasoning and Multi-Reward Backward Refinement for Product Review Summarization.
Proceedings of the 2024 Joint International Conference on Computational Linguistics, 2024

DELAN: Dual-Level Alignment for Vision-and-Language Navigation by Cross-Modal Contrastive Learning.
Proceedings of the 2024 Joint International Conference on Computational Linguistics, 2024

Unveiling Linguistic Regions in Large Language Models.
Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2024

SoMeLVLM: A Large Vision Language Model for Social Media Processing.
Proceedings of the Findings of the Association for Computational Linguistics, 2024

Reasoning in Flux: Enhancing Large Language Models Reasoning through Uncertainty-aware Adaptive Guidance.
Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2024

ToolSword: Unveiling Safety Issues of Large Language Models in Tool Learning Across Three Stages.
Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2024

Enhancing Contrastive Learning with Noise-Guided Attack: Towards Continual Relation Extraction in the Wild.
Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2024

Advancing Parameter Efficiency in Fine-tuning via Representation Editing.
Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2024

LLM can Achieve Self-Regulation via Hyperparameter Aware Generation.
Proceedings of the Findings of the Association for Computational Linguistics, 2024

Length Generalization of Causal Transformers without Position Encoding.
Proceedings of the Findings of the Association for Computational Linguistics, 2024

F-Eval: Asssessing Fundamental Abilities with Refined Evaluation Methods.
Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2024

Navigating the OverKill in Large Language Models.
Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2024

Unveiling the Truth and Facilitating Change: Towards Agent-based Large-scale Social Movement Simulation.
Proceedings of the Findings of the Association for Computational Linguistics, 2024

Aligning Large Language Models with Human Preferences through Representation Engineering.
Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2024

Debatrix: Multi-dimensional Debate Judge with Iterative Chronological Analysis Based on LLM.
Proceedings of the Findings of the Association for Computational Linguistics, 2024

ALaRM: Align Language Models via Hierarchical Rewards Modeling.
Proceedings of the Findings of the Association for Computational Linguistics, 2024

EmbSpatial-Bench: Benchmarking Spatial Understanding for Embodied Tasks with Large Vision-Language Models.
Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics, 2024

LoRAMoE: Alleviating World Knowledge Forgetting in Large Language Models via MoE-Style Plugin.
Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2024

StepCoder: Improving Code Generation with Reinforcement Learning from Compiler Feedback.
Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2024

Making Harmful Behaviors Unlearnable for Large Language Models.
Proceedings of the Findings of the Association for Computational Linguistics, 2024

LLMEval: A Preliminary Study on How to Evaluate Large Language Models.
Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023
Multi-modal multi-hop interaction network for dialogue response generation.
Expert Syst. Appl., October, 2023

Chinese Named Entity Recognition Augmented with Lexicon Memory.
J. Comput. Sci. Technol., September, 2023

Improving BERT Fine-Tuning via Self-Ensemble and Self-Distillation.
J. Comput. Sci. Technol., July, 2023

Certified Robustness to Text Adversarial Attacks by Randomized [MASK].
Comput. Linguistics, June, 2023

A benchmark for automatic medical consultation system: frameworks, tasks and datasets.
Bioinform., January, 2023

A Soft Contrastive Learning-based Prompt Model for Few-shot Sentiment Analysis.
CoRR, 2023

K-ESConv: Knowledge Injection for Emotional Support Dialogue Systems via Prompt Learning.
CoRR, 2023

LoRAMoE: Revolutionizing Mixture of Experts for Maintaining World Knowledge in Language Model Alignment.
CoRR, 2023

Making Harmful Behaviors Unlearnable for Large Language Models.
CoRR, 2023

Tailoring Personality Traits in Large Language Models via Unsupervisedly-Built Personalized Lexicons.
CoRR, 2023

DISC-FinLLM: A Chinese Financial Large Language Model based on Multiple Experts Fine-tuning.
CoRR, 2023

Unveiling A Core Linguistic Region in Large Language Models.
CoRR, 2023

Improving Generalization of Alignment with Human Preferences through Group Invariant Learning.
CoRR, 2023

RethinkingTMSC: An Empirical Study for Target-Oriented Multimodal Sentiment Classification.
CoRR, 2023

Efficient Link Prediction via GNN Layers Induced by Negative Sampling.
CoRR, 2023

TRACE: A Comprehensive Benchmark for Continual Learning in Large Language Models.
CoRR, 2023

SpikeCLIP: A Contrastive Language-Image Pretrained Spiking Neural Network.
CoRR, 2023

DISC-LawLLM: Fine-tuning Large Language Models for Intelligent Legal Services.
CoRR, 2023

The Rise and Potential of Large Language Model Based Agents: A Survey.
CoRR, 2023

SpikeBERT: A Language Spikformer Trained with Two-Stage Knowledge Distillation from BERT.
CoRR, 2023

DISC-MedLLM: Bridging General Large Language Models and Real-World Medical Consultation.
CoRR, 2023

Towards Understanding the Capability of Large Language Models on Code Clone Detection: A Survey.
CoRR, 2023

Secrets of RLHF in Large Language Models Part I: PPO.
CoRR, 2023

Open Set Relation Extraction via Unknown-Aware Training.
CoRR, 2023

Self-Polish: Enhance Reasoning in Large Language Models via Problem Refinement.
CoRR, 2023

A Confidence-based Partial Label Learning Model for Crowd-Annotated Named Entity Recognition.
CoRR, 2023

CausalAPM: Generalizable Literal Disentanglement for NLU Debiasing.
CoRR, 2023

A Comprehensive Capability Analysis of GPT-3 and GPT-3.5 Series Models.
CoRR, 2023

How Robust is GPT-3.5 to Predecessors? A Comprehensive Study on Language Understanding Tasks.
CoRR, 2023

From Hypergraph Energy Functions to Hypergraph Neural Networks.
Proceedings of the International Conference on Machine Learning, 2023

RealBehavior: A Framework for Faithfully Characterizing Foundation Models' Human-like Behavior Mechanisms.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2023, 2023

Inductive Relation Inference of Knowledge Graph Enhanced by Ontology Information.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2023, 2023

TextMixer: Mixing Multiple Inputs for Privacy-Preserving Inference.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2023, 2023

Exchange-of-Thought: Enhancing Large Language Model Capabilities through Cross-Model Communication.
Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, 2023

RethinkingTMSC: An Empirical Study for Target-Oriented Multimodal Sentiment Classification.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2023, 2023

Measure Children's Mindreading Ability with Machine Reading.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2023, 2023

Are Structural Concepts Universal in Transformer Language Models? Towards Interpretable Cross-Lingual Generalization.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2023, 2023

Self-Polish: Enhance Reasoning in Large Language Models via Problem Refinement.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2023, 2023

Parameter Efficient Multi-task Fine-tuning by Learning to Transfer Token-wise Prompts.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2023, 2023

Hallucination Detection for Generative Large Language Models by Bayesian Sequential Estimation.
Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, 2023

Orthogonal Subspace Learning for Language Model Continual Learning.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2023, 2023

Loose lips sink ships: Mitigating Length Bias in Reinforcement Learning from Human Feedback.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2023, 2023

One-Model-Connects-All: A Unified Graph Pre-Training Model for Online Community Modeling.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2023, 2023

Towards Building More Robust NER datasets: An Empirical Study on NER Dataset Bias from a Dataset Difficulty View.
Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, 2023

Argue with Me Tersely: Towards Sentence-Level Counter-Argument Generation.
Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, 2023

Hi-ArG: Exploring the Integration of Hierarchical Argumentation Graphs in Language Pretraining.
Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, 2023

Unleashing the Power of Language Models in Text-Attributed Graph.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2023, 2023

Watermarking PLMs on Classification Tasks by Combining Contrastive Learning with Weight Perturbation.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2023, 2023

Rethinking Label Smoothing on Multi-Hop Question Answering.
Proceedings of the Chinese Computational Linguistics - 22nd China National Conference, 2023

Graph Structure Learning via Lottery Hypothesis at Scale.
Proceedings of the Asian Conference on Machine Learning, 2023

TextObfuscator: Making Pre-trained Language Model a Privacy Protector via Obfuscating Word Representations.
Proceedings of the Findings of the Association for Computational Linguistics: ACL 2023, 2023

Characterizing the Impacts of Instances on Robustness.
Proceedings of the Findings of the Association for Computational Linguistics: ACL 2023, 2023

Detecting Adversarial Samples through Sharpness of Loss Landscape.
Proceedings of the Findings of the Association for Computational Linguistics: ACL 2023, 2023

Open Set Relation Extraction via Unknown-Aware Training.
Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2023

Do Large Language Models Know What They Don't Know?
Proceedings of the Findings of the Association for Computational Linguistics: ACL 2023, 2023

A Confidence-based Partial Label Learning Model for Crowd-Annotated Named Entity Recognition.
Proceedings of the Findings of the Association for Computational Linguistics: ACL 2023, 2023

Connectivity Patterns are Task Embeddings.
Proceedings of the Findings of the Association for Computational Linguistics: ACL 2023, 2023

Modeling the Q-Diversity in a Min-max Play Game for Robust Optimization.
Proceedings of the Findings of the Association for Computational Linguistics: ACL 2023, 2023

Query Structure Modeling for Inductive Logical Reasoning Over Knowledge Graphs.
Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2023

Multitask Pre-training of Modular Prompt for Chinese Few-Shot Learning.
Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2023

UPPAM: A Unified Pre-training Architecture for Political Actor Modeling based on Language.
Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2023

Enhancing Unsupervised Semantic Parsing with Distributed Contextual Representations.
Proceedings of the Findings of the Association for Computational Linguistics: ACL 2023, 2023

CodeIE: Large Code Generation Models are Better Few-Shot Information Extractors.
Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2023

Unifying Cross-Lingual and Cross-Modal Modeling Towards Weakly Supervised Multilingual Vision-Language Pre-training.
Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2023

DiffusionBERT: Improving Generative Masked Language Models with Diffusion Models.
Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2023

On the Universal Adversarial Perturbations for Efficient Data-free Adversarial Detection.
Proceedings of the Findings of the Association for Computational Linguistics: ACL 2023, 2023

TableVLM: Multi-modal Pre-training for Table Structure Recognition.
Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2023

KNSE: A Knowledge-aware Natural Language Inference Framework for Dialogue Symptom Status Recognition.
Proceedings of the Findings of the Association for Computational Linguistics: ACL 2023, 2023

UTC-IE: A Unified Token-pair Classification Architecture for Information Extraction.
Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2023

2022
Automatic Math Word Problem Generation With Topic-Expression Co-Attention Mechanism and Reinforcement Learning.
IEEE ACM Trans. Audio Speech Lang. Process., 2022

Sentiment-aware multimodal pre-training for multimodal sentiment analysis.
Knowl. Based Syst., 2022

Aspect-based sentiment analysis with enhanced aspect-sensitive word embeddings.
Knowl. Inf. Syst., 2022

Paradigm Shift in Natural Language Processing.
Int. J. Autom. Comput., 2022

DiffusionBERT: Improving Generative Masked Language Models with Diffusion Models.
CoRR, 2022

Robust Lottery Tickets for Pre-trained Language Models.
CoRR, 2022

Multi-Task Pre-Training of Modular Prompt for Few-Shot Learning.
CoRR, 2022

Learning "O" Helps for Learning More: Handling the Concealed Entity Problem for Class-incremental NER.
CoRR, 2022

A Unified Continuous Learning Framework for Multi-modal Knowledge Discovery and Pre-training.
CoRR, 2022

What Dense Graph Do You Need for Self-Attention?
CoRR, 2022

BBTv2: Pure Black-Box Optimization Can Be Comparable to Gradient Descent for Few-Shot Learning.
CoRR, 2022

Decorrelate Irrelevant, Purify Relevant: Overcome Textual Spurious Correlations from a Feature Perspective.
CoRR, 2022

Hierarchical reinforcement learning for automatic disease diagnosis.
Bioinform., 2022

BART-Reader: Predicting Relations Between Entities via Reading Their Document-Level Context Information.
Proceedings of the Natural Language Processing and Chinese Computing, 2022

Regularized Molecular Conformation Fields.
Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

CoNT: Contrastive Neural Text Generation.
Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Template-free Prompt Tuning for Few-shot NER.
Proceedings of the 2022 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2022

Towards Efficient NLP: A Standard Evaluation and A Strong Baseline.
Proceedings of the 2022 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2022

Negative Sample is Negative in Its Own Way: Tailoring Negative Sentences for Image-Text Retrieval.
Proceedings of the Findings of the Association for Computational Linguistics: NAACL 2022, 2022

MVPTR: Multi-Level Semantic Alignment for Vision-Language Pre-Training via Multi-Stage Learning.
Proceedings of the MM '22: The 30th ACM International Conference on Multimedia, Lisboa, Portugal, October 10, 2022

Constructing Phrase-level Semantic Labels to Form Multi-Grained Supervision for Image-Text Retrieval.
Proceedings of the ICMR '22: International Conference on Multimedia Retrieval, Newark, NJ, USA, June 27, 2022

What Dense Graph Do You Need for Self-Attention?
Proceedings of the International Conference on Machine Learning, 2022

Black-Box Tuning for Language-Model-as-a-Service.
Proceedings of the International Conference on Machine Learning, 2022

TextFusion: Privacy-Preserving Pre-trained Model Inference via Token Fusion.
Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, 2022

Weight Perturbation as Defense against Adversarial Word Substitutions.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2022, 2022

Cross-Linguistic Syntactic Difference in Multilingual BERT: How Good is It and How Does It Affect Transfer?
Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, 2022

Efficient Adversarial Training with Robust Early-Bird Tickets.
Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, 2022

BBTv2: Towards a Gradient-Free Future with Large Language Models.
Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, 2022

BERTScore is Unfair: On Social Bias in Language Model-Based Metrics for Text Generation.
Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, 2022

Late Prompt Tuning: A Late Prompt Could Be Better Than Many Prompts.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2022, 2022

Kernel-Whitening: Overcome Dataset Bias with Isotropic Sentence Embedding.
Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, 2022

ProofInfer: Generating Proof via Iterative Hierarchical Inference.
Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, 2022

A Multi-Format Transfer Learning Model for Event Argument Extraction via Variational Information Bottleneck.
Proceedings of the 29th International Conference on Computational Linguistics, 2022

Making Parameter-efficient Tuning More Efficient: A Unified Framework for Classification Tasks.
Proceedings of the 29th International Conference on Computational Linguistics, 2022

PlugAT: A Plug and Play Module to Defend against Textual Adversarial Attack.
Proceedings of the 29th International Conference on Computational Linguistics, 2022

Causal Intervention Improves Implicit Sentiment Analysis.
Proceedings of the 29th International Conference on Computational Linguistics, 2022

Locate Then Ask: Interpretable Stepwise Reasoning for Multi-hop Question Answering.
Proceedings of the 29th International Conference on Computational Linguistics, 2022

A Structure-Aware Argument Encoder for Literature Discourse Analysis.
Proceedings of the 29th International Conference on Computational Linguistics, 2022

Improving Abstractive Dialogue Summarization with Speaker-Aware Supervised Contrastive Learning.
Proceedings of the 29th International Conference on Computational Linguistics, 2022

LFKQG: A Controlled Generation Framework with Local Fine-tuning for Question Generation over Knowledge Bases.
Proceedings of the 29th International Conference on Computational Linguistics, 2022

Decorrelate Irrelevant, Purify Relevant: Overcome Textual Spurious Correlations from a Feature Perspective.
Proceedings of the 29th International Conference on Computational Linguistics, 2022

A Progressive Framework for Role-Aware Rumor Resolution.
Proceedings of the 29th International Conference on Computational Linguistics, 2022

CoLo: A Contrastive Learning Based Re-ranking Framework for One-Stage Summarization.
Proceedings of the 29th International Conference on Computational Linguistics, 2022

Robust Lottery Tickets for Pre-trained Language Models.
Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2022

Towards Adversarially Robust Text Classifiers by Learning to Reweight Clean Examples.
Proceedings of the Findings of the Association for Computational Linguistics: ACL 2022, 2022

MINER: Improving Out-of-Vocabulary Named Entity Recognition from an Information Theoretic Perspective.
Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2022

A Simple Hash-Based Early Exiting Approach For Language Understanding and Generation.
Proceedings of the Findings of the Association for Computational Linguistics: ACL 2022, 2022

Flooding-X: Improving BERT's Resistance to Adversarial Attacks via Loss-Restricted Fine-Tuning.
Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2022

CQG: A Simple and Effective Controlled Generation Framework for Multi-hop Question Generation.
Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2022

2021
Co-Attention Memory Network for Multimodal Microblog's Hashtag Recommendation.
IEEE Trans. Knowl. Data Eng., 2021

Generating Responses With a Given Syntactic Pattern in Chinese Dialogues.
IEEE ACM Trans. Audio Speech Lang. Process., 2021

Jointly learning bilingual word embeddings and alignments.
Mach. Transl., 2021

Information retrieval: a view from the Chinese IR community.
Frontiers Comput. Sci., 2021

Overview of SMP-CAIL2020-Argmine: The Interactive Argument-Pair Extraction in Judgement Document Challenge.
Data Intell., 2021

Plug-Tagger: A Pluggable Sequence Labeling Framework Using Language Models.
CoRR, 2021

Towards Efficient NLP: A Standard Evaluation and A Strong Baseline.
CoRR, 2021

KNN-BERT: Fine-Tuning Pre-Trained Models with KNN Classifier.
CoRR, 2021

Template-free Prompt Tuning for Few-shot NER.
CoRR, 2021

Learning to Teach with Student Feedback.
CoRR, 2021

Fine-Grained Element Identification in Complaint Text of Internet Fraud.
CoRR, 2021

Early Exiting with Ensemble Internal Classifiers.
CoRR, 2021

Certified Robustness to Text Adversarial Attacks by Randomized [MASK].
CoRR, 2021

Who Responded to Whom: The Joint Effects of Latent Topics and Discourse in Conversation Structure.
CoRR, 2021

Alleviate Exposure Bias in Sequence Prediction \\ with Recurrent Neural Networks.
CoRR, 2021

TextFlint: Unified Multilingual Robustness Evaluation Toolkit for Natural Language Processing.
CoRR, 2021

Text information aggregation with centrality attention.
Sci. China Inf. Sci., 2021

Overview of Argumentative Text Understanding for AI Debater Challenge.
Proceedings of the Natural Language Processing and Chinese Computing, 2021

Searching Effective Transformer for Seq2Seq Keyphrase Generation.
Proceedings of the Natural Language Processing and Chinese Computing, 2021

Discrete Argument Representation Learning for Interactive Argument Pair Identification.
Proceedings of the 2021 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2021

Larger-Context Tagging: When and Why Does It Work?
Proceedings of the 2021 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2021

Mask Attention Networks: Rethinking and Strengthen Transformer.
Proceedings of the 2021 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2021

TCIC: Theme Concepts Learning Cross Language and Vision for Image Captioning.
Proceedings of the Thirtieth International Joint Conference on Artificial Intelligence, 2021

Fine-Grained Element Identification in Complaint Text of Internet Fraud.
Proceedings of the CIKM '21: The 30th ACM International Conference on Information and Knowledge Management, Virtual Event, Queensland, Australia, November 1, 2021

Defense against Synonym Substitution-based Adversarial Attacks via Dirichlet Neighborhood Ensemble.
Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing, 2021

Attending via both Fine-tuning and Compressing.
Proceedings of the Findings of the Association for Computational Linguistics: ACL/IJCNLP 2021, 2021

Math Word Problem Solving with Explicit Numerical Values.
Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing, 2021

K-Adapter: Infusing Knowledge into Pre-Trained Models with Adapters.
Proceedings of the Findings of the Association for Computational Linguistics: ACL/IJCNLP 2021, 2021

TextFlint: Unified Multilingual Robustness Evaluation Toolkit for Natural Language Processing.
Proceedings of the Joint Conference of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing, 2021

Align Voting Behavior with Public Statements for Legislator Representation Learning.
Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing, 2021

SENT: Sentence-level Distant Relation Extraction via Negative Training.
Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing, 2021

Exploration and Exploitation: Two Ways to Improve Chinese Spelling Correction Models.
Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing, 2021

Accelerating BERT Inference for Sequence Labeling via Early-Exit.
Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing, 2021

fastHan: A BERT-based Multi-Task Toolkit for Chinese NLP.
Proceedings of the Joint Conference of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing, 2021

SpanNER: Named Entity Re-/Recognition as Span Prediction.
Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing, 2021

Topic-Oriented Spoken Dialogue Summarization for Customer Service with Saliency-Aware Topic Modeling.
Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

Unsupervised Summarization for Chat Logs with Topic-Oriented Ranking and Context-Aware Auto-Encoders.
Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

An Unsupervised Sampling Approach for Image-Sentence Matching Using Document-level Structural Information.
Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

Enhancing Scientific Papers Summarization with Citation Graph.
Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

2020
A Graph-based Model for Joint Chinese Word Segmentation and Dependency Parsing.
Trans. Assoc. Comput. Linguistics, 2020

Chinese Word Segmentation via BiLSTM+Semi-CRF with Relay Node.
J. Comput. Sci. Technol., 2020

Generating Adversarial Examples in Chinese Texts Using Sentence-Pieces.
CoRR, 2020

SenSeNet: Neural Keyphrase Generation with Document Structure.
CoRR, 2020

Generating universal language adversarial examples by understanding and enhancing the transferability across neural models.
CoRR, 2020

Text Information Aggregation with Centrality Attention.
CoRR, 2020

CDEvalSumm: An Empirical Study of Cross-Dataset Evaluation for Neural Summarization Systems.
CoRR, 2020

fastHan: A BERT-based Joint Many-Task Toolkit for Chinese NLP.
CoRR, 2020

Defense against Adversarial Attacks in NLP via Dirichlet Neighborhood Ensemble.
CoRR, 2020

Task-oriented Dialogue System for Automatic Disease Diagnosis via Hierarchical Reinforcement Learning.
CoRR, 2020

Unified Multi-Criteria Chinese Word Segmentation with BERT.
CoRR, 2020

Pre-trained Models for Natural Language Processing: A Survey.
CoRR, 2020

Rethinking Generalization of Neural Models: A Named Entity Recognition Case Study.
CoRR, 2020

Recurrent Memory Reasoning Network for Expert Finding in Community Question Answering.
Proceedings of the WSDM '20: The Thirteenth ACM International Conference on Web Search and Data Mining, 2020

Learning to Generate Representations for Novel Words: Mimic the OOV Situation in Training.
Proceedings of the Natural Language Processing and Chinese Computing, 2020

Leveraging Document-Level Label Consistency for Named Entity Recognition.
Proceedings of the Twenty-Ninth International Joint Conference on Artificial Intelligence, 2020

Automatic Term Name Generation for Gene Ontology: Task and Dataset.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2020, 2020

Tasty Burgers, Soggy Fries: Probing Aspect Robustness in Aspect-Based Sentiment Analysis.
Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing, 2020

A Knowledge-Aware Sequence-to-Tree Network for Math Word Problem Solving.
Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing, 2020

PathQG: Neural Question Generation from Facts.
Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing, 2020

Leveraging Declarative Knowledge in Text and First-Order Logic for Fine-Grained Propaganda Detection.
Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing, 2020

A Concise Model for Multi-Criteria Chinese Word Segmentation with Transformer Encoder.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2020, 2020

Toward Recognizing More Entity Types in NER: An Efficient Implementation using Only Entity Lexicons.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2020, 2020

Cross-Lingual Dependency Parsing by POS-Guided Word Reordering.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2020, 2020

Uncertainty-Aware Label Refinement for Sequence Labeling.
Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing, 2020

RethinkCWS: Is Chinese Word Segmentation a Solved Task?
Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing, 2020

An Empirical Study of Cross-Dataset Evaluation for Neural Summarization Systems.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2020, 2020

Keep it Consistent: Topic-Aware Storytelling from an Image Stream via Iterative Multi-agent Communication.
Proceedings of the 28th International Conference on Computational Linguistics, 2020

CoLAKE: Contextualized Language and Knowledge Embedding.
Proceedings of the 28th International Conference on Computational Linguistics, 2020

An Enhanced Knowledge Injection Model for Commonsense Generation.
Proceedings of the 28th International Conference on Computational Linguistics, 2020

Modeling Evolution of Message Interaction for Rumor Resolution.
Proceedings of the 28th International Conference on Computational Linguistics, 2020

Extractive Summarization as Text Matching.
Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics, 2020

Evaluating and Enhancing the Robustness of Neural Network-based Dependency Parsing Models with Adversarial Examples.
Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics, 2020

Heterogeneous Graph Neural Networks for Extractive Document Summarization.
Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics, 2020

Simplify the Usage of Lexicon in Chinese NER.
Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics, 2020

FLAT: Chinese NER Using Flat-Lattice Transformer.
Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics, 2020

Storytelling from an Image Stream Using Scene Graphs.
Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

Learning Sparse Sharing Architectures for Multiple Tasks.
Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

Constructing Multiple Tasks for Augmentation: Improving Neural Image Classification with <i>K</i>-Means Features.
Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

2019
Sequence Labeling With Deep Gated Dual Path CNN.
IEEE ACM Trans. Audio Speech Lang. Process., 2019

Constructing Multiple Tasks for Augmentation: Improving Neural Image Classification With K-means Features.
CoRR, 2019

Keep it Consistent: Topic-Aware Storytelling from an Image Stream via Iterative Multi-agent Communication.
CoRR, 2019

A Closer Look at Data Bias in Neural Extractive Summarization Models.
CoRR, 2019

Weighed Domain-Invariant Representation Learning for Cross-domain Sentiment Analysis.
CoRR, 2019

Exploring Domain Shift in Extractive Text Summarization.
CoRR, 2019

Simplify the Usage of Lexicon in Chinese NER.
CoRR, 2019

DropAttention: A Regularization Method for Fully-Connected Self-Attention Networks.
CoRR, 2019

Multi-Criteria Chinese Word Segmentation with Transformer.
CoRR, 2019

A Unified Model for Joint Chinese Word Segmentation and Dependency Parsing.
CoRR, 2019

Reformulating natural language queries using sequence-to-sequence models.
Sci. China Inf. Sci., 2019

Implicit discourse relation detection using concatenated word embeddings and a gated relevance network.
Sci. China Inf. Sci., 2019

Review Response Generation in E-Commerce Platforms with External Product Information.
Proceedings of the World Wide Web Conference, 2019

Hot Topic-Aware Retweet Prediction with Masked Self-attentive Model.
Proceedings of the 42nd International ACM SIGIR Conference on Research and Development in Information Retrieval, 2019

Adaptive Multi-Attention Network Incorporating Answer Information for Duplicate Question Detection.
Proceedings of the 42nd International ACM SIGIR Conference on Research and Development in Information Retrieval, 2019

Mention Recommendation in Twitter with Cooperative Multi-Agent Reinforcement Learning.
Proceedings of the 42nd International ACM SIGIR Conference on Research and Development in Information Retrieval, 2019

Model the Long-Term Post History for Hashtag Recommendation.
Proceedings of the Natural Language Processing and Chinese Computing, 2019

VCWE: Visual Character-Enhanced Word Embeddings.
Proceedings of the 2019 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2019

Learning Task-Specific Representation for Novel Words in Sequence Labeling.
Proceedings of the Twenty-Eighth International Joint Conference on Artificial Intelligence, 2019

Building Personalized Simulator for Interactive Search.
Proceedings of the Twenty-Eighth International Joint Conference on Artificial Intelligence, 2019

CNN-Based Chinese NER with Lexicon Rethinking.
Proceedings of the Twenty-Eighth International Joint Conference on Artificial Intelligence, 2019

Asynchronous Deep Interaction Network for Natural Language Inference.
Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing and the 9th International Joint Conference on Natural Language Processing, 2019

GlossBERT: BERT for Word Sense Disambiguation with Gloss Knowledge.
Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing and the 9th International Joint Conference on Natural Language Processing, 2019

A Lexicon-Based Graph Neural Network for Chinese NER.
Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing and the 9th International Joint Conference on Natural Language Processing, 2019

How to Fine-Tune BERT for Text Classification?
Proceedings of the Chinese Computational Linguistics - 18th China National Conference, 2019

Depression Detection on Social Media with Reinforcement Learning.
Proceedings of the Chinese Computational Linguistics - 18th China National Conference, 2019

Mining User Profiles from Query Log.
Proceedings of the Information Retrieval - 25th China Conference, 2019

Searching for Effective Neural Extractive Summarization: What Works and What's Next.
Proceedings of the 57th Conference of the Association for Computational Linguistics, 2019

Generating Responses with a Specific Emotion in Dialog.
Proceedings of the 57th Conference of the Association for Computational Linguistics, 2019

Distantly Supervised Named Entity Recognition using Positive-Unlabeled Learning.
Proceedings of the 57th Conference of the Association for Computational Linguistics, 2019

Bridging by Word: Image Grounded Vocabulary Construction for Visual Captioning.
Proceedings of the 57th Conference of the Association for Computational Linguistics, 2019

Style Transformer: Unpaired Text Style Transfer without Disentangled Latent Representation.
Proceedings of the 57th Conference of the Association for Computational Linguistics, 2019

A Multi-Agent Communication Framework for Question-Worthy Phrase Extraction and Question Generation.
Proceedings of the Thirty-Third AAAI Conference on Artificial Intelligence, 2019

Trainable Undersampling for Class-Imbalance Learning.
Proceedings of the Thirty-Third AAAI Conference on Artificial Intelligence, 2019

Contextualized Non-Local Neural Networks for Sequence Learning.
Proceedings of the Thirty-Third AAAI Conference on Artificial Intelligence, 2019

Long Short-Term Memory with Dynamic Skip Connections.
Proceedings of the Thirty-Third AAAI Conference on Artificial Intelligence, 2019

2018
Hashtag recommendation for multimodal microblog posts.
Neurocomputing, 2018

Meta-Learning Multi-task Communication.
CoRR, 2018

Deformable Stacked Structure for Named Entity Recognition.
CoRR, 2018

Exploring Shared Structures and Hierarchies for Multiple NLP Tasks.
CoRR, 2018

Gaussian Word Embedding with a Wasserstein Distance Loss.
CoRR, 2018

Towards Diverse Text Generation with Inverse Reinforcement Learning.
CoRR, 2018

Mention Recommendation for Multimodal Microblog with Cross-attention Memory Network.
Proceedings of the 41st International ACM SIGIR Conference on Research & Development in Information Retrieval, 2018

Toward Diverse Text Generation with Inverse Reinforcement Learning.
Proceedings of the Twenty-Seventh International Joint Conference on Artificial Intelligence, 2018

A Question Type Driven Framework to Diversify Visual Question Generation.
Proceedings of the Twenty-Seventh International Joint Conference on Artificial Intelligence, 2018

Automatic Essay Scoring Incorporating Rating Schema via Reinforcement Learning.
Proceedings of the 2018 Conference on Empirical Methods in Natural Language Processing, Brussels, Belgium, October 31, 2018

Transferring from Formal Newswire Domain with Hypernet for Twitter POS Tagging.
Proceedings of the 2018 Conference on Empirical Methods in Natural Language Processing, Brussels, Belgium, October 31, 2018

Convolutional Interaction Network for Natural Language Inference.
Proceedings of the 2018 Conference on Empirical Methods in Natural Language Processing, Brussels, Belgium, October 31, 2018

A Lexicon-Based Supervised Attention Model for Neural Sentiment Analysis.
Proceedings of the 27th International Conference on Computational Linguistics, 2018

Incorporating Argument-Level Interactions for Persuasion Comments Evaluation using Co-attention Model.
Proceedings of the 27th International Conference on Computational Linguistics, 2018

Information Aggregation via Dynamic Routing for Sequence Encoding.
Proceedings of the 27th International Conference on Computational Linguistics, 2018

A Reinforcement Learning Framework for Natural Question Generation using Bi-discriminators.
Proceedings of the 27th International Conference on Computational Linguistics, 2018

Generating Keyword Queries for Natural Language Queries to Alleviate Lexical Chasm Problem.
Proceedings of the 27th ACM International Conference on Information and Knowledge Management, 2018

Incorporating Corporation Relationship via Graph Convolutional Neural Networks for Stock Price Prediction.
Proceedings of the 27th ACM International Conference on Information and Knowledge Management, 2018

Incorporating Topic Aspects for Online Comment Convincingness Evaluation.
Proceedings of the 5th Workshop on Argument Mining, 2018

Cross-Domain Sentiment Classification with Target Domain Specific Information.
Proceedings of the 56th Annual Meeting of the Association for Computational Linguistics, 2018

Task-oriented Dialogue System for Automatic Diagnosis.
Proceedings of the 56th Annual Meeting of the Association for Computational Linguistics, 2018

Incorporating Discriminator in Sentence Generation: a Gibbs Sampling Method.
Proceedings of the Thirty-Second AAAI Conference on Artificial Intelligence, 2018

Meta Multi-Task Learning for Sequence Modeling.
Proceedings of the Thirty-Second AAAI Conference on Artificial Intelligence, 2018

Adaptive Co-attention Network for Named Entity Recognition in Tweets.
Proceedings of the Thirty-Second AAAI Conference on Artificial Intelligence, 2018

2017
Preface.
J. Comput. Sci. Technol., 2017

DAG-based Long Short-Term Memory for Neural Word Segmentation.
CoRR, 2017

Phrase-based hashtag recommendation for microblog posts.
Sci. China Inf. Sci., 2017

Predicting Which Topics You Will Join in the Future on Social Media.
Proceedings of the 40th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2017

Hyper-Gated Recurrent Neural Networks for Chinese Word Segmentation.
Proceedings of the Natural Language Processing and Chinese Computing, 2017

Overview of the NLPCC 2017 Shared Task: Chinese News Headline Categorization.
Proceedings of the Natural Language Processing and Chinese Computing, 2017

Hierarchical Dirichlet Processes with Social Influence.
Proceedings of the Natural Language Processing and Chinese Computing, 2017

A Learning Error Analysis for Structured Prediction with Approximate Inference.
Proceedings of the Advances in Neural Information Processing Systems 30: Annual Conference on Neural Information Processing Systems 2017, 2017

Hashtag Recommendation for Multimodal Microblog Using Co-Attention Network.
Proceedings of the Twenty-Sixth International Joint Conference on Artificial Intelligence, 2017

Knowledge Graph Representation with Jointly Structural and Textual Encoding.
Proceedings of the Twenty-Sixth International Joint Conference on Artificial Intelligence, 2017

Adaptive Semantic Compositionality for Sentence Modelling.
Proceedings of the Twenty-Sixth International Joint Conference on Artificial Intelligence, 2017

Dynamic Compositional Neural Networks over Tree Structure.
Proceedings of the Twenty-Sixth International Joint Conference on Artificial Intelligence, 2017

Mention Recommendation for Twitter with End-to-end Memory Network.
Proceedings of the Twenty-Sixth International Joint Conference on Artificial Intelligence, 2017

A Feature-Enriched Neural Model for Joint Chinese Word Segmentation and Part-of-Speech Tagging.
Proceedings of the Twenty-Sixth International Joint Conference on Artificial Intelligence, 2017

A Mixed Generative-Discriminative Based Hashing Method.
Proceedings of the 33rd IEEE International Conference on Data Engineering, 2017

Idiom-Aware Compositional Distributed Semantics.
Proceedings of the 2017 Conference on Empirical Methods in Natural Language Processing, 2017

Part-of-Speech Tagging for Twitter with Adversarial Neural Networks.
Proceedings of the 2017 Conference on Empirical Methods in Natural Language Processing, 2017

End-to-End Neural Text Classification for Tibetan.
Proceedings of the Chinese Computational Linguistics and Natural Language Processing Based on Naturally Annotated Big Data, 2017

Adversarial Multi-task Learning for Text Classification.
Proceedings of the 55th Annual Meeting of the Association for Computational Linguistics, 2017

Adversarial Multi-Criteria Learning for Chinese Word Segmentation.
Proceedings of the 55th Annual Meeting of the Association for Computational Linguistics, 2017

2016
A Mixed Generative-Discriminative Based Hashing Method.
IEEE Trans. Knowl. Data Eng., 2016

Deep Multi-Task Learning with Shared Memory.
CoRR, 2016

Syntax-based Attention Model for Natural Language Inference.
CoRR, 2016

Modelling Interaction of Sentence Pair with coupled-LSTMs.
CoRR, 2016

End-to-End Neural Sentence Ordering Using Pointer Network.
CoRR, 2016

A Long Dependency Aware Deep Architecture for Joint Chinese Word Segmentation and POS Tagging.
CoRR, 2016

Neural Sentence Ordering.
CoRR, 2016

Learning Word Embeddings from Intrinsic and Extrinsic Views.
CoRR, 2016

Bidirectional Long Short-Term Memory with Gated Relevance Network for Paraphrase Identification.
Proceedings of the Natural Language Understanding and Intelligent Applications, 2016

Convolutional Deep Neural Networks for Document-Based Question Answering.
Proceedings of the Natural Language Understanding and Intelligent Applications, 2016

Bridging LSTM Architecture and the Neural Dynamics during Reading.
Proceedings of the Twenty-Fifth International Joint Conference on Artificial Intelligence, 2016

Recurrent Neural Network for Text Classification with Multi-Task Learning.
Proceedings of the Twenty-Fifth International Joint Conference on Artificial Intelligence, 2016

Keyphrase Extraction Using Deep Recurrent Neural Networks on Twitter.
Proceedings of the 2016 Conference on Empirical Methods in Natural Language Processing, 2016

Generating Abbreviations for Chinese Named Entities Using Recurrent Neural Network with Dynamic Dictionary.
Proceedings of the 2016 Conference on Empirical Methods in Natural Language Processing, 2016

Cached Long Short-Term Memory Neural Networks for Document-Level Sentiment Classification.
Proceedings of the 2016 Conference on Empirical Methods in Natural Language Processing, 2016

Analyzing Linguistic Knowledge in Sequential Model of Sentence.
Proceedings of the 2016 Conference on Empirical Methods in Natural Language Processing, 2016

Modelling Interaction of Sentence Pair with Coupled-LSTMs.
Proceedings of the 2016 Conference on Empirical Methods in Natural Language Processing, 2016

Deep Multi-Task Learning with Shared Memory for Text Classification.
Proceedings of the 2016 Conference on Empirical Methods in Natural Language Processing, 2016

Attention-Based Convolutional Neural Network for Semantic Relation Extraction.
Proceedings of the COLING 2016, 2016

Hashtag Recommendation Using End-To-End Memory Networks with Hierarchical Attention.
Proceedings of the COLING 2016, 2016

Retweet Prediction with Attention-based Deep Neural Network.
Proceedings of the 25th ACM International Conference on Information and Knowledge Management, 2016

Incorporate Group Information to Enhance Network Embedding.
Proceedings of the 25th ACM International Conference on Information and Knowledge Management, 2016

A New Psychometric-inspired Evaluation Metric for Chinese Word Segmentation.
Proceedings of the 54th Annual Meeting of the Association for Computational Linguistics, 2016

Investigating Language Universal and Specific Properties in Word Embeddings.
Proceedings of the 54th Annual Meeting of the Association for Computational Linguistics, 2016

Deep Fusion LSTMs for Text Semantic Matching.
Proceedings of the 54th Annual Meeting of the Association for Computational Linguistics, 2016

Implicit Discourse Relation Detection via a Deep Architecture with Gated Relevance Network.
Proceedings of the 54th Annual Meeting of the Association for Computational Linguistics, 2016

Discourse Relations Detection via a Mixed Generative-Discriminative Framework.
Proceedings of the Thirtieth AAAI Conference on Artificial Intelligence, 2016

2015
Overview of the NLPCC 2015 Shared Task: Chinese Word Segmentation and POS Tagging for Micro-blog Texts.
CoRR, 2015

Gaussian Mixture Embeddings for Multiple Word Prototypes.
CoRR, 2015

Personalized Hashtag Suggestion for Microblogs.
Proceedings of the Social Media Processing - 4th National Conference, 2015

Transition-Based Dependency Parsing with Long Distance Collocations.
Proceedings of the Natural Language Processing and Chinese Computing - 4th CCF Conference, 2015

Overview of the NLPCC 2015 Shared Task: Chinese Word Segmentation and POS Tagging for Micro-blog Texts.
Proceedings of the Natural Language Processing and Chinese Computing - 4th CCF Conference, 2015

Convolutional Neural Tensor Network Architecture for Community-Based Question Answering.
Proceedings of the Twenty-Fourth International Joint Conference on Artificial Intelligence, 2015

Learning Context-Sensitive Word Embeddings with Neural Tensor Skip-Gram Model.
Proceedings of the Twenty-Fourth International Joint Conference on Artificial Intelligence, 2015

Multi-Timescale Long Short-Term Memory Neural Network for Modelling Sentences and Documents.
Proceedings of the 2015 Conference on Empirical Methods in Natural Language Processing, 2015

Hashtag Recommendation Using Dirichlet Process Mixture Models Incorporating Types of Hashtags.
Proceedings of the 2015 Conference on Empirical Methods in Natural Language Processing, 2015

Transition-based Dependency Parsing Using Two Heterogeneous Gated Recursive Neural Networks.
Proceedings of the 2015 Conference on Empirical Methods in Natural Language Processing, 2015

Sentence Modeling with Gated Recursive Neural Network.
Proceedings of the 2015 Conference on Empirical Methods in Natural Language Processing, 2015

Long Short-Term Memory Neural Networks for Chinese Word Segmentation.
Proceedings of the 2015 Conference on Empirical Methods in Natural Language Processing, 2015

Learning to Rank Answers for Definitional Question Answering.
Proceedings of the Chinese Computational Linguistics and Natural Language Processing Based on Naturally Annotated Big Data, 2015

Who Will You "@"?
Proceedings of the 24th ACM International Conference on Information and Knowledge Management, 2015

A Re-ranking Model for Dependency Parser with Recursive Convolutional Neural Network.
Proceedings of the 53rd Annual Meeting of the Association for Computational Linguistics and the 7th International Joint Conference on Natural Language Processing of the Asian Federation of Natural Language Processing, 2015

Gated Recursive Neural Network for Chinese Word Segmentation.
Proceedings of the 53rd Annual Meeting of the Association for Computational Linguistics and the 7th International Joint Conference on Natural Language Processing of the Asian Federation of Natural Language Processing, 2015

Retweet Behavior Prediction Using Hierarchical Dirichlet Process.
Proceedings of the Twenty-Ninth AAAI Conference on Artificial Intelligence, 2015

2014
Chinese-English mixed text normalization.
Proceedings of the Seventh ACM International Conference on Web Search and Data Mining, 2014

Continuous word embeddings for detecting local text reuses at the semantic level.
Proceedings of the 37th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2014

Time-aware Personalized Hashtag Recommendation on Social Media.
Proceedings of the COLING 2014, 2014

Automatic Corpus Expansion for Chinese Word Segmentation by Exploiting the Redundancy of Web Information.
Proceedings of the COLING 2014, 2014

A Generative Model for Identifying Target Companies of Microblogs.
Proceedings of the COLING 2014, 2014

Improving Multi-pass Transition-Based Dependency Parsing Using Enhanced Shift Actions.
Proceedings of the Chinese Computational Linguistics and Natural Language Processing Based on Naturally Annotated Big Data, 2014

Chinese-English OOV Term Translation with Web Mining, Multiple Feature Fusion and Supervised Learning.
Proceedings of the Chinese Computational Linguistics and Natural Language Processing Based on Naturally Annotated Big Data, 2014

Text Classification with Document Embeddings.
Proceedings of the Chinese Computational Linguistics and Natural Language Processing Based on Naturally Annotated Big Data, 2014

Learning Tag Relevance by Context Analysis for Social Image Retrieval.
Proceedings of the Chinese Computational Linguistics and Natural Language Processing Based on Naturally Annotated Big Data, 2014

Bilingual Product Name Dictionary Construction Using a Two Stage Method.
Proceedings of The Third CIPS-SIGHAN Joint Conference on Chinese Language Processing, 2014

2013
Understanding the Semantic Intent of Natural Language Query.
Proceedings of the Sixth International Joint Conference on Natural Language Processing, 2013

Detecting Spammers in Community Question Answering.
Proceedings of the Sixth International Joint Conference on Natural Language Processing, 2013

Chinese Named Entity Abbreviation Generation Using First-Order Logic.
Proceedings of the Sixth International Joint Conference on Natural Language Processing, 2013

Learning Topical Translation Model for Microblog Hashtag Suggestion.
Proceedings of the IJCAI 2013, 2013

Question identification in Chinese micro-texts.
Proceedings of the International Conference on Machine Learning and Cybernetics, 2013

A Unified Model for Joint Chinese Word Segmentation and POS Tagging with Heterogeneous Annotation Corpora.
Proceedings of the 2013 International Conference on Asian Language Processing, 2013

Feature Abstraction for Lightweight and Accurate Chinese Word Segmentation.
Proceedings of the 2013 International Conference on Asian Language Processing, 2013

Discourse Level Explanatory Relation Extraction from Product Reviews Using First-Order Logic.
Proceedings of the 2013 Conference on Empirical Methods in Natural Language Processing, 2013

Joint Chinese Word Segmentation and POS Tagging on Heterogeneous Annotated Corpora with Multiple Task Learning.
Proceedings of the 2013 Conference on Empirical Methods in Natural Language Processing, 2013

Online Distributed Passive-Aggressive Algorithm for Structured Learning.
Proceedings of the Chinese Computational Linguistics and Natural Language Processing Based on Naturally Annotated Big Data, 2013

Chinese Word Segmentation with Character Abstraction.
Proceedings of the Chinese Computational Linguistics and Natural Language Processing Based on Naturally Annotated Big Data, 2013

A pattern-based selective recrawling approach for object-level vertical search.
Proceedings of the 22nd ACM International Conference on Information and Knowledge Management, 2013

Map search via a factor graph model.
Proceedings of the 22nd ACM International Conference on Information and Knowledge Management, 2013

FudanNLP: A Toolkit for Chinese Natural Language Processing.
Proceedings of the 51st Annual Meeting of the Association for Computational Linguistics, 2013

Latent Semantic Tensor Indexing for Community-based Question Answering.
Proceedings of the 51st Annual Meeting of the Association for Computational Linguistics, 2013

2012
Recognizing Inference in Texts with Markov Logic Networks.
ACM Trans. Asian Lang. Inf. Process., 2012

Learning hash codes for efficient content reuse detection.
Proceedings of the 35th International ACM SIGIR conference on research and development in Information Retrieval, 2012

Part-of-Speech Tagging for Chinese-English Mixed Texts with Dynamic Features.
Proceedings of the 2012 Joint Conference on Empirical Methods in Natural Language Processing and Computational Natural Language Learning, 2012

Joint Segmentation and Tagging with Coupled Sequences Labeling.
Proceedings of the COLING 2012, 2012

Automatic Hashtag Recommendation for Microblogs using Topic-Specific Translation Model.
Proceedings of the COLING 2012, 2012

Selecting expansion terms as a set via integer linear programming.
Proceedings of the 21st ACM International Conference on Information and Knowledge Management, 2012

Discovering logical knowledge for deep question answering.
Proceedings of the 21st ACM International Conference on Information and Knowledge Management, 2012

2011
Opinion Mining with Sentiment Graph.
Proceedings of the 2011 IEEE/WIC/ACM International Conference on Web Intelligence, 2011

Microblog Track 2011 of FDU.
Proceedings of The Twentieth Text REtrieval Conference, 2011

An Effective Feature Selection Method for Text Categorization.
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2011

FudanNLP at RITE 2011: a Shallow Semantic Approach to Textual Entailment.
Proceedings of the 9th NTCIR Workshop Meeting on Evaluation of Information Access Technologies: Information Retrieval, 2011

Learning the weight of the query term from the relevance feedback.
Proceedings of the 7th International Conference on Natural Language Processing and Knowledge Engineering, 2011

A Fast Accurate Two-stage Training Algorithm for L1-regularized CRFs with Heuristic Line Search Strategy.
Proceedings of the Fifth International Joint Conference on Natural Language Processing, 2011

Efficient Near-Duplicate Detection for Q&A Forum.
Proceedings of the Fifth International Joint Conference on Natural Language Processing, 2011

Keyphrase Extraction from Online News Using Binary Integer Programming.
Proceedings of the Fifth International Joint Conference on Natural Language Processing, 2011

Structural Opinion Mining for Graph-based Sentiment Representation.
Proceedings of the 2011 Conference on Empirical Methods in Natural Language Processing, 2011

Question Answering for Machine Reading with Lexical Chain.
Proceedings of the CLEF 2011 Labs and Workshop, 2011

Labelwise Margin Maximization for Sequence Labeling.
Proceedings of the Computational Linguistics and Intelligent Text Processing, 2011

Learning to Extract Coherent Keyphrases from Online News.
Proceedings of the Information Retrieval Technology, 2011

Hierarchical Text Classification with Latent Concepts.
Proceedings of the 49th Annual Meeting of the Association for Computational Linguistics: Human Language Technologies, Proceedings of the Conference, 19-24 June, 2011, Portland, Oregon, USA, 2011

2010
Selective recrawling for object-level vertical search.
Proceedings of the 19th International Conference on World Wide Web, 2010

Efficient partial-duplicate detection based on sequence matching.
Proceedings of the Proceeding of the 33rd International ACM SIGIR Conference on Research and Development in Information Retrieval, 2010

Bagging to find better expansion words.
Proceedings of the 6th International Conference on Natural Language Processing and Knowledge Engineering, 2010

Joint Training and Decoding Using Virtual Nodes for Cascaded Segmentation and Tagging Tasks.
Proceedings of the 2010 Conference on Empirical Methods in Natural Language Processing, 2010

Detecting Hedge Cues and their Scopes with Average Perceptron.
Proceedings of the Fourteenth Conference on Computational Natural Language Learning: Shared Task, 2010

2D Trie for Fast Parsing.
Proceedings of the COLING 2010, 2010

Pseudo-Relevance Feedback Based on mRMR Criteria.
Proceedings of the Information Retrieval Technology, 2010

Mining Uncertain Sentences with Multiple Instance Learning.
Proceedings of the Advanced Data Mining and Applications - 6th International Conference, 2010

Triplet-Based Chinese Word Sense Induction.
Proceedings of the CIPS-SIGHAN Joint Conference on Chinese Language Processing, 2010

Adaptive Chinese Word Segmentation with Online Passive-Aggressive Algorithm.
Proceedings of the CIPS-SIGHAN Joint Conference on Chinese Language Processing, 2010

2009
Using query expansion in graph-based approach for query-focused multi-document summarization.
Inf. Process. Manag., 2009

Relevance Feedback Based on Constrained Clustering: FDU at TREC 09.
Proceedings of The Eighteenth Text REtrieval Conference, 2009

Mining product reviews based on shallow dependency parsing.
Proceedings of the 32nd Annual International ACM SIGIR Conference on Research and Development in Information Retrieval, 2009

Template-independent wrapper for web forums.
Proceedings of the 32nd Annual International ACM SIGIR Conference on Research and Development in Information Retrieval, 2009

Hierarchical Ensemble Support Cluster Machine.
Proceedings of the Multiple Classifier Systems, 8th International Workshop, 2009

Sparse higher order conditional random fields for improved sequence labeling.
Proceedings of the 26th Annual International Conference on Machine Learning, 2009

Phrase Dependency Parsing for Opinion Mining.
Proceedings of the 2009 Conference on Empirical Methods in Natural Language Processing, 2009

A unified relevance model for opinion retrieval.
Proceedings of the 18th ACM Conference on Information and Knowledge Management, 2009

Hierarchical Multi-Label Text Categorization with Global Margin Maximization.
Proceedings of the ACL 2009, 2009

2008
Sentiment Classification Using Supervised and Semi-Supervised Conditional Maximum Entropy Modeling.
Int. J. Comput. Process. Orient. Lang., 2008

Automatic identification of non-anaphoric anaphora in spoken dialog.
Proceedings of the 4th International Conference on Natural Language Processing and Knowledge Engineering, 2008

Answering definitional question by dependency-based knowledge.
Proceedings of the 4th International Conference on Natural Language Processing and Knowledge Engineering, 2008

Answering Definition Question: Ranking for Top-k.
Proceedings of the ECAI 2008, 2008

Graph Mutual Reinforcement Based Bootstrapping.
Proceedings of the Information Retrieval Technology, 2008

Domain Adaptation for Conditional Random Fields.
Proceedings of the Information Retrieval Technology, 2008

Using Multiple Combined Ranker for Answering Definitional Questions.
Proceedings of the Information Retrieval Technology, 2008

2007
FDU at TREC 2007: Opinion Retrieval of Blog Track.
Proceedings of The Sixteenth Text REtrieval Conference, 2007

FDUQA on TREC 2007 QA Track.
Proceedings of The Sixteenth Text REtrieval Conference, 2007

From Web Directories to Ontologies: Natural Language Processing Challenges.
Proceedings of the Semantic Web, 2007

2006
FDUQA on TREC 2006 QA Track.
Proceedings of the Fifteenth Text REtrieval Conference, 2006

Mining the Relation between Sentiment Expression and Target Using Dependency of Words.
Proceedings of the 20st Pacific Asia Conference on Language, Information and Computation, 2006

2005
FDUQA on TREC 2005 QA Track.
Proceedings of the Fourteenth Text REtrieval Conference, 2005

WIM at TREC 2005.
Proceedings of the Fourteenth Text REtrieval Conference, 2005

The Use of Metadata, Web-derived Answer Patterns and Passage Context to Improve Reading Comprehension Performance.
Proceedings of the HLT/EMNLP 2005, 2005

Answering Definition Questions Using Web Knowledge Bases.
Proceedings of the Natural Language Processing, 2005

Question Classification using Multiple Classifiers.
Proceedings of the Fifth Workshop on Asian Language Resources and First Symposium on Asian Language Resources Network, 2005

An Intelligent Platform for Information Retrieval.
Proceedings of the Cognitive Systems, Joint Chinese-German Workshop, Shanghai, 2005

2004
FDUQA on TREC 2004 QA Track.
Proceedings of the Thirteenth Text REtrieval Conference, 2004

Exploring Various Features to Optimize Hot Topic Retrieval on WEB.
Proceedings of the Advances in Neural Networks, 2004

BBS Based Hot Topic Retrieval Using Back-Propagation Neural Network.
Proceedings of the Natural Language Processing, 2004

A Novel Pattern Learning Method for Open Domain Question Answering.
Proceedings of the Natural Language Processing, 2004

Hot-Spot Passage Retrieval in Question Answering.
Proceedings of the Digital Libraries: International Collaboration and Cross-Fertilization, 2004

2003
FDUQA on TREC2003 QA task.
Proceedings of The Twelfth Text REtrieval Conference, 2003

2002
FDU at TREC 2002: Filtering, Q&A, Web and Video Tasks.
Proceedings of The Eleventh Text REtrieval Conference, 2002

2001
FDU at TREC-10: Filtering, QA, Web and Video Tasks.
Proceedings of The Tenth Text REtrieval Conference, 2001

Language Independent Text Categorization.
Proceedings of the Sixth Natural Language Processing Pacific Rim Symposium, 2001

2000
FDU at TREC-9: CLIR, Filtering and QA Tasks.
Proceedings of The Ninth Text REtrieval Conference, 2000

1997
Statistical Acquisition of Terminology Dictionary.
Proceedings of the Fifth Workshop on Very Large Corpora, 1997


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