Xipeng Qiu

Orcid: 0000-0001-7163-5247

According to our database1, Xipeng Qiu authored at least 349 papers between 2003 and 2024.

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Bibliography

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

$$\cal{Y}$$-Tuning: an efficient tuning paradigm for large-scale pre-trained models via label representation learning.
Frontiers Comput. Sci., August, 2024

ChatGPT: potential, prospects, and limitations.
Frontiers Inf. Technol. Electron. Eng., January, 2024

Deep learning prediction of glycopeptide tandem mass spectra powers glycoproteomics.
Nat. Mac. Intell., 2024

Can Language Models Learn to Skip Steps?
CoRR, 2024

BitStack: Fine-Grained Size Control for Compressed Large Language Models in Variable Memory Environments.
CoRR, 2024

Multi-Programming Language Sandbox for LLMs.
CoRR, 2024

Llama Scope: Extracting Millions of Features from Llama-3.1-8B with Sparse Autoencoders.
CoRR, 2024

MetaAlign: Align Large Language Models with Diverse Preferences during Inference Time.
CoRR, 2024

Understanding the Role of LLMs in Multimodal Evaluation Benchmarks.
CoRR, 2024

IntrinsicVoice: Empowering LLMs with Intrinsic Real-time Voice Interaction Abilities.
CoRR, 2024

Towards Universality: Studying Mechanistic Similarity Across Language Model Architectures.
CoRR, 2024

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

Efficient Training of Large Language Models on Distributed Infrastructures: A Survey.
CoRR, 2024

Farewell to Length Extrapolation, a Training-Free Infinite Context with Finite Attention Scope.
CoRR, 2024

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

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

Cross-Modality Safety Alignment.
CoRR, 2024

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

Automatically Identifying Local and Global Circuits with Linear Computation Graphs.
CoRR, 2024

SpeechAlign: Aligning Speech Generation to Human Preferences.
CoRR, 2024

Data Mixing Laws: Optimizing Data Mixtures by Predicting Language Modeling Performance.
CoRR, 2024

A Survey of Neural Code Intelligence: Paradigms, Advances and Beyond.
CoRR, 2024

In-Memory Learning: A Declarative Learning Framework for Large Language Models.
CoRR, 2024

Data-freeWeight Compress and Denoise for Large Language Models.
CoRR, 2024

Hint-before-Solving Prompting: Guiding LLMs to Effectively Utilize Encoded Knowledge.
CoRR, 2024

Identifying Semantic Induction Heads to Understand In-Context Learning.
CoRR, 2024

Dictionary Learning Improves Patch-Free Circuit Discovery in Mechanistic Interpretability: A Case Study on Othello-GPT.
CoRR, 2024

InternLM-Math: Open Math Large Language Models Toward Verifiable Reasoning.
CoRR, 2024

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

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

Query of CC: Unearthing Large Scale Domain-Specific Knowledge from Public Corpora.
CoRR, 2024

SpeechGPT-Gen: Scaling Chain-of-Information Speech Generation.
CoRR, 2024

InferAligner: Inference-Time Alignment for Harmlessness through Cross-Model Guidance.
CoRR, 2024

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

Agent Alignment in Evolving Social Norms.
CoRR, 2024

SpeechAgents: Human-Communication Simulation with Multi-Modal Multi-Agent Systems.
CoRR, 2024

CPT: a pre-trained unbalanced transformer for both Chinese language understanding and generation.
Sci. China Inf. Sci., 2024

LLatrieval: LLM-Verified Retrieval for Verifiable Generation.
Proceedings of the 2024 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (Volume 1: Long Papers), 2024

Flames: Benchmarking Value Alignment of LLMs in Chinese.
Proceedings of the 2024 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (Volume 1: Long Papers), 2024

Can AI Assistants Know What They Don't Know?
Proceedings of the Forty-first International Conference on Machine Learning, 2024

Training-Free Long-Context Scaling of Large Language Models.
Proceedings of the Forty-first International Conference on Machine Learning, 2024

SpeechTokenizer: Unified Speech Tokenizer for Speech Language Models.
Proceedings of the Twelfth International Conference on Learning Representations, 2024

Scaling Laws of RoPE-based Extrapolation.
Proceedings of the Twelfth International Conference on Learning Representations, 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

R³-NL2GQL: A Model Coordination and Knowledge Graph Alignment Approach for NL2GQL.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2024, 2024

Calibrating the Confidence of Large Language Models by Eliciting Fidelity.
Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing, 2024

Memorize Step by Step: Efficient Long-Context Prefilling with Incremental Memory and Decremental Chunk.
Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing, 2024

Turn Waste into Worth: Rectifying Top-k Router of MoE.
Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing, 2024

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

InferAligner: Inference-Time Alignment for Harmlessness through Cross-Model Guidance.
Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing, 2024

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

LongWanjuan: Towards Systematic Measurement for Long Text Quality.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2024, 2024

Making Large Language Models Better Reasoners with Orchestrated Streaming Experiences.
Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing, 2024

Unified Active Retrieval for Retrieval Augmented Generation.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2024, 2024

Pixel-Level Semantic Correspondence Through Layout-Aware Representation Learning and Multi-Scale Matching Integration.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

The Open-World Lottery Ticket Hypothesis for OOD Intent Classification.
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

Benchmarking Hallucination in Large Language Models Based on Unanswerable Math Word Problem.
Proceedings of the 2024 Joint International Conference on Computational Linguistics, 2024

GAOKAO-MM: A Chinese Human-Level Benchmark for Multimodal Models Evaluation.
Proceedings of the Findings of the Association for Computational Linguistics, 2024

AnyGPT: Unified Multimodal LLM with Discrete Sequence Modeling.
Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 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

Enhancing EEG-to-Text Decoding through Transferable Representations from Pre-trained Contrastive EEG-Text Masked Autoencoder.
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

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

Code Needs Comments: Enhancing Code LLMs with Comment Augmentation.
Proceedings of the Findings of the Association for Computational Linguistics, 2024

Balanced Data Sampling for Language Model Training with Clustering.
Proceedings of the Findings of the Association for Computational Linguistics, 2024

Identifying Semantic Induction Heads to Understand In-Context Learning.
Proceedings of the Findings of the Association for Computational Linguistics, 2024

Full Parameter Fine-tuning for Large Language Models with Limited Resources.
Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2024

AdaLomo: Low-memory Optimization with Adaptive Learning Rate.
Proceedings of the Findings of the Association for Computational Linguistics, 2024

L-Eval: Instituting Standardized Evaluation for Long Context Language Models.
Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2024

DenoSent: A Denoising Objective for Self-Supervised Sentence Representation Learning.
Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023
An anchor-guided sequence labeling model for event detection in both data-abundant and data-scarce scenarios.
Inf. Sci., November, 2023

A Composable Generative Framework Based on Prompt Learning for Various Information Extraction Tasks.
IEEE Trans. Big Data, August, 2023

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

A Survey of Reasoning with Foundation Models.
CoRR, 2023

Alignment for Honesty.
CoRR, 2023

Flames: Benchmarking Value Alignment of Chinese Large Language Models.
CoRR, 2023

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

Scaling Laws of RoPE-based Extrapolation.
CoRR, 2023

Evaluating Hallucinations in Chinese Large Language Models.
CoRR, 2023

Corex: Pushing the Boundaries of Complex Reasoning through Multi-Model Collaboration.
CoRR, 2023

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

SpeechTokenizer: Unified Speech Tokenizer for Speech Large Language Models.
CoRR, 2023

EduChat: A Large-Scale Language Model-based Chatbot System for Intelligent Education.
CoRR, 2023

Does Correction Remain A Problem For Large Language Models?
CoRR, 2023

L-Eval: Instituting Standardized Evaluation for Long Context Language Models.
CoRR, 2023

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

Full Parameter Fine-tuning for Large Language Models with Limited Resources.
CoRR, 2023

Optimizing Non-Autoregressive Transformers with Contrastive Learning.
CoRR, 2023

Evaluating the Performance of Large Language Models on GAOKAO Benchmark.
CoRR, 2023

PromptNER: A Prompting Method for Few-shot Named Entity Recognition via k Nearest Neighbor Search.
CoRR, 2023

MoT: Pre-thinking and Recalling Enable ChatGPT to Self-Improve with Memory-of-Thoughts.
CoRR, 2023

Origin Tracing and Detecting of LLMs.
CoRR, 2023

Finding Supporting Examples for In-Context Learning.
CoRR, 2023

MarkBERT: Marking Word Boundaries Improves Chinese BERT.
Proceedings of the Natural Language Processing and Chinese Computing, 2023

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

SpeechGPT: Empowering Large Language Models with Intrinsic Cross-Modal Conversational Abilities.
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

SeqXGPT: Sentence-Level AI-Generated Text Detection.
Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, 2023

Character-LLM: A Trainable Agent for Role-Playing.
Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, 2023

CoLLiE: Collaborative Training of Large Language Models in an Efficient Way.
Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, 2023

Plan, Verify and Switch: Integrated Reasoning with Diverse X-of-Thoughts.
Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, 2023

PerturbScore: Connecting Discrete and Continuous Perturbations in NLP.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2023, 2023

Finding Support Examples for In-Context Learning.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2023, 2023

MoT: Memory-of-Thought Enables ChatGPT to Self-Improve.
Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, 2023

Watermarking LLMs with Weight Quantization.
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

Two Birds One Stone: Dynamic Ensemble for OOD Intent Classification.
Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2023

A Probabilistic Framework for Discovering New Intents.
Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2023

Towards Open Environment Intent Prediction.
Proceedings of the Findings of the Association for Computational Linguistics: ACL 2023, 2023

Investigating Glyph-Phonetic Information for Chinese Spell Checking: What Works and What's Next?
Proceedings of the Findings of the Association for Computational Linguistics: ACL 2023, 2023

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

Distributed Marker Representation for Ambiguous Discourse Markers and Entangled Relations.
Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2023

Multijugate Dual Learning for Low-Resource Task-Oriented Dialogue System.
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

Text Adversarial Purification as Defense against Adversarial Attacks.
Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2023

Unified Demonstration Retriever for In-Context Learning.
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

Dual Cache for Long Document Neural Coreference Resolution.
Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2023

Improving Contrastive Learning of Sentence Embeddings from AI Feedback.
Proceedings of the Findings of the Association for Computational Linguistics: ACL 2023, 2023

An AMR-based Link Prediction Approach for Document-level Event Argument Extraction.
Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 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

An Embarrassingly Easy but Strong Baseline for Nested Named Entity Recognition.
Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 2: Short Papers), 2023

Mitigating Negative Style Transfer in Hybrid Dialogue System.
Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

2022
A survey of transformers.
AI Open, January, 2022

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

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

Word-Level Representation From Bytes For Language Modeling.
CoRR, 2022

SDCL: Self-Distillation Contrastive Learning for Chinese Spell Checking.
CoRR, 2022

Discovering New Intents Using Latent Variables.
CoRR, 2022

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

An Open-World Lottery Ticket for Out-of-Domain Intent Classification.
CoRR, 2022

A Unified Generative Framework based on Prompt Learning for Various Information Extraction Tasks.
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

Rebuild and Ensemble: Exploring Defense Against Text Adversaries.
CoRR, 2022

MarkBERT: Marking Word Boundaries Improves Chinese BERT.
CoRR, 2022

Y-Tuning: An Efficient Tuning Paradigm for Large-Scale Pre-Trained Models via Label Representation Learning.
CoRR, 2022

TURNER: The Uncertainty-based Retrieval Framework for Chinese NER.
CoRR, 2022

CodeRetriever: Unimodal and Bimodal Contrastive Learning.
CoRR, 2022

Towards Collaborative Question Answering: A Preliminary Study.
CoRR, 2022

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

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

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

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

RLET: A Reinforcement Learning Based Approach for Explainable QA with Entailment Trees.
Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, 2022

CodeRetriever: A Large Scale Contrastive Pre-Training Method for Code Search.
Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, 2022

Soft-Labeled Contrastive Pre-Training for Function-Level Code Representation.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2022, 2022

Dialogue Meaning Representation for Task-Oriented Dialogue Systems.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2022, 2022

DORE: Document Ordered Relation Extraction based on Generative Framework.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2022, 2022

Is MultiWOZ a Solved Task? An Interactive TOD Evaluation Framework with User Simulator.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2022, 2022

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

Coarse-to-Fine: Hierarchical Multi-task Learning for Natural Language Understanding.
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

KNN-Contrastive Learning for Out-of-Domain Intent Classification.
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

"Is Whole Word Masking Always Better for Chinese BERT?": Probing on Chinese Grammatical Error Correction.
Proceedings of the Findings of the Association for Computational Linguistics: ACL 2022, 2022

Contrast and Generation Make BART a Good Dialogue Emotion Recognizer.
Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022

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

Towards More Effective and Economic Sparsely-Activated Model.
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

RetrievalSum: A Retrieval Enhanced Framework for Abstractive Summarization.
CoRR, 2021

CPT: A Pre-Trained Unbalanced Transformer for Both Chinese Language Understanding and Generation.
CoRR, 2021

Learning to Teach with Student Feedback.
CoRR, 2021

Pre-Trained Models: Past, Present and Future.
CoRR, 2021

Early Exiting with Ensemble Internal Classifiers.
CoRR, 2021

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

Dual-axial self-attention network for text classification.
Sci. China Inf. Sci., 2021

Syntax-guided text generation via graph neural network.
Sci. China Inf. Sci., 2021

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

Pre-trained models: Past, present and future.
AI Open, 2021

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

QMSum: A New Benchmark for Query-based Multi-domain Meeting Summarization.
Proceedings of the 2021 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2021

Pre-training with Meta Learning for Chinese Word Segmentation.
Proceedings of the 2021 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2021

Does syntax matter? A strong baseline for Aspect-based Sentiment Analysis with RoBERTa.
Proceedings of the 2021 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2021

Keyphrase Generation with Fine-Grained Evaluation-Guided Reinforcement Learning.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2021, 2021

Backdoor Attacks on Pre-trained Models by Layerwise Weight Poisoning.
Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing, 2021

SpellBERT: A Lightweight Pretrained Model for Chinese Spelling Check.
Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing, 2021

Are Factuality Checkers Reliable? Adversarial Meta-evaluation of Factuality in Summarization.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2021, 2021

Fork or Fail: Cycle-Consistent Training with Many-to-One Mappings.
Proceedings of the 24th International Conference on Artificial Intelligence and Statistics, 2021

A Unified Generative Framework for Various NER Subtasks.
Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing, 2021

A Unified Generative Framework for Aspect-based Sentiment Analysis.
Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing, 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

Contrastive Aligned Joint Learning for Multilingual Summarization.
Proceedings of the Findings of the Association for Computational Linguistics: ACL/IJCNLP 2021, 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

Finding Sparse Structures for Domain Specific Neural Machine Translation.
Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

Token-Aware Virtual Adversarial Training in Natural Language Understanding.
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

Finding Sparse Structure for Domain Specific Neural Machine Translation.
CoRR, 2020

Text Information Aggregation with Centrality Attention.
CoRR, 2020

Pre-trained Model for Chinese Word Segmentation with Meta Learning.
CoRR, 2020

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

BERT for Monolingual and Cross-Lingual Reverse Dictionary.
CoRR, 2020

AutoRC: Improving BERT Based Relation Classification Models via Architecture Search.
CoRR, 2020

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

Improving Image Captioning with Better Use of Captions.
CoRR, 2020

CycleGT: Unsupervised Graph-to-Text and Text-to-Graph Generation via Cycle Training.
CoRR, 2020

Relation of the Relations: A New Paradigm of the Relation Extraction Problem.
CoRR, 2020

TextAT: Adversarial Training for Natural Language Understanding with Token-Level Perturbation.
CoRR, 2020

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

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

BERT for Monolingual and Cross-Lingual Reverse Dictionary.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2020, 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

Pre-training Multilingual Neural Machine Translation by Leveraging Alignment Information.
Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing, 2020

BERT-ATTACK: Adversarial Attack Against BERT Using BERT.
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

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

GenWiki: A Dataset of 1.3 Million Content-Sharing Text and Graphs for Unsupervised Graph-to-Text Generation.
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

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

Improving Image Captioning with Better Use of Caption.
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

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

Joint Parsing and Generation for Abstractive Summarization.
Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

Multi-Scale Self-Attention for Text Classification.
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

Low-Rank and Locality Constrained Self-Attention for Sequence Modeling.
IEEE ACM Trans. Audio Speech Lang. Process., 2019

TENER: Adapting Transformer Encoder for Named Entity Recognition.
CoRR, 2019

BP-Transformer: Modelling Long-Range Context via Binary Partitioning.
CoRR, 2019

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

Exploring Domain Shift in Extractive Text Summarization.
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

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

Utilizing BERT for Aspect-Based Sentiment Analysis via Constructing Auxiliary Sentence.
Proceedings of the 2019 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2019

Star-Transformer.
Proceedings of the 2019 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 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

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

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

Learning Multi-Task Communication with Message Passing for Sequence Learning.
Proceedings of the Thirty-Third AAAI Conference on Artificial Intelligence, 2019

Switch-LSTMs for Multi-Criteria Chinese Word Segmentation.
Proceedings of the Thirty-Third AAAI Conference on Artificial Intelligence, 2019

2018
Multi-task Learning over Graph Structures.
CoRR, 2018

U-Net: Machine Reading Comprehension with Unanswerable Questions.
CoRR, 2018

Deformable Stacked Structure for Named Entity Recognition.
CoRR, 2018

Neural Arithmetic Expression Calculator.
CoRR, 2018

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

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

Top-Down Tree Structured Text Generation.
CoRR, 2018

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

Same Representation, Different Attentions: Shareable Sentence Representation Learning from Multiple Tasks.
Proceedings of the Twenty-Seventh International Joint Conference on Artificial Intelligence, 2018

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

Reinforced Mnemonic Reader for Machine Reading Comprehension.
Proceedings of the Twenty-Seventh International Joint Conference on Artificial Intelligence, 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 Simple yet Effective Joint Training Method for Cross-Lingual Universal Dependency Parsing.
Proceedings of the CoNLL 2018 Shared Task: Multilingual Parsing from Raw Text to Universal Dependencies, Brussels, Belgium, October 31, 2018

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

2017
Mnemonic Reader for Machine Comprehension.
CoRR, 2017

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

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

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

Idiom-Aware Compositional Distributed Semantics.
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
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

Overview of the NLPCC-ICCPOL 2016 Shared Task: Chinese Word Segmentation for Micro-Blog Texts.
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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

Detecting Hedge Cues and their Scopes with Average Perceptron.
Proceedings of the Fourteenth Conference on Computational Natural Language Learning: Shared Task, 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
Info-margin maximization for feature extraction.
Pattern Recognit. Lett., 2009

Face recognition with info-margin maximization.
Proceedings of the 2009 IEEE International Conference on Multimedia and Expo, 2009

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

2008
Feature Selection Based on a New Dependency Measure.
Proceedings of the Fifth International Conference on Fuzzy Systems and Knowledge Discovery, 2008

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

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

KLNCC: A new nonlinear correlation clustering algorithm based on KL-divergence.
Proceedings of 8th IEEE International Conference on Computer and Information Technology, 2008

2007
Two-dimensional nearest neighbor discriminant analysis.
Neurocomputing, 2007

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

2006
Nearest Neighbor Discriminant Analysis.
Int. J. Pattern Recognit. Artif. Intell., 2006

2005
Stepwise Nearest Neighbor Discriminant Analysis.
Proceedings of the IJCAI-05, Proceedings of the Nineteenth International Joint Conference on Artificial Intelligence, Edinburgh, Scotland, UK, July 30, 2005

Null space-based LDA with weighted dual personal subspaces for face recognition.
Proceedings of the 2005 International Conference on Image Processing, 2005

Nonparametric maximum margin criterion for face recognition.
Proceedings of the 2005 International Conference on Image Processing, 2005

Face Recognition by Stepwise Nonparametric Margin Maximum Criterion.
Proceedings of the 10th IEEE International Conference on Computer Vision (ICCV 2005), 2005

2004
Boosting image classification scheme.
Proceedings of the 2004 IEEE International Conference on Multimedia and Expo, 2004

2003
Fudan University at TRECVID 2003.
Proceedings of the 2003 TREC Video Retrieval Evaluation, 2003


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