Minlie Huang

Orcid: 0000-0001-7111-1849

According to our database1, Minlie Huang authored at least 336 papers between 2004 and 2024.

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Bibliography

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

Overview of the Ninth Dialog System Technology Challenge: DSTC9.
IEEE ACM Trans. Audio Speech Lang. Process., 2024

MiniPLM: Knowledge Distillation for Pre-Training Language Models.
CoRR, 2024

BlackDAN: A Black-Box Multi-Objective Approach for Effective and Contextual Jailbreaking of Large Language Models.
CoRR, 2024

Data Selection via Optimal Control for Language Models.
CoRR, 2024

Seeker: Enhancing Exception Handling in Code with LLM-based Multi-Agent Approach.
CoRR, 2024

Language Models Learn to Mislead Humans via RLHF.
CoRR, 2024

CodePlan: Unlocking Reasoning Potential in Large Langauge Models by Scaling Code-form Planning.
CoRR, 2024

LogicGame: Benchmarking Rule-Based Reasoning Abilities of Large Language Models.
CoRR, 2024

How Well Do Large Language Models Serve as End-to-End Secure Code Producers?
CoRR, 2024

Mixture-of-Modules: Reinventing Transformers as Dynamic Assemblies of Modules.
CoRR, 2024

Benchmarking Complex Instruction-Following with Multiple Constraints Composition.
CoRR, 2024

Safe Unlearning: A Surprisingly Effective and Generalizable Solution to Defend Against Jailbreak Attacks.
CoRR, 2024

ChatGLM: A Family of Large Language Models from GLM-130B to GLM-4 All Tools.
CoRR, 2024

Perception of Knowledge Boundary for Large Language Models through Semi-open-ended Question Answering.
CoRR, 2024

Weak-to-Strong Extrapolation Expedites Alignment.
CoRR, 2024

360{\deg}REA: Towards A Reusable Experience Accumulation with 360{\deg} Assessment for Multi-Agent System.
CoRR, 2024

ChatGLM-RLHF: Practices of Aligning Large Language Models with Human Feedback.
CoRR, 2024

Towards Optimal Learning of Language Models.
CoRR, 2024

LLM-based Privacy Data Augmentation Guided by Knowledge Distillation with a Distribution Tutor for Medical Text Classification.
CoRR, 2024

From Noise to Clarity: Unraveling the Adversarial Suffix of Large Language Model Attacks via Translation of Text Embeddings.
CoRR, 2024

EmoBench: Evaluating the Emotional Intelligence of Large Language Models.
CoRR, 2024

AMOR: A Recipe for Building Adaptable Modular Knowledge Agents Through Process Feedback.
CoRR, 2024

Towards Efficient and Exact Optimization of Language Model Alignment.
CoRR, 2024

Prompt-Driven LLM Safeguarding via Directed Representation Optimization.
CoRR, 2024

Enhancing Emotional Support Conversation with Cognitive Chain-of-Thought Reasoning.
Proceedings of the Natural Language Processing and Chinese Computing, 2024

Depression Detection in Clinical Interviews with LLM-Empowered Structural Element Graph.
Proceedings of the 2024 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (Volume 1: Long Papers), 2024

Language Models Hallucinate, but May Excel at Fact Verification.
Proceedings of the 2024 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (Volume 1: Long Papers), 2024

On Prompt-Driven Safeguarding for Large Language Models.
Proceedings of the Forty-first International Conference on Machine Learning, 2024

Towards Efficient Exact Optimization of Language Model Alignment.
Proceedings of the Forty-first International Conference on Machine Learning, 2024

Large Language Models Are Not Robust Multiple Choice Selectors.
Proceedings of the Twelfth International Conference on Learning Representations, 2024

Language Model Decoding as Direct Metrics Optimization.
Proceedings of the Twelfth International Conference on Learning Representations, 2024

MiniLLM: Knowledge Distillation of Large Language Models.
Proceedings of the Twelfth International Conference on Learning Representations, 2024

ToRA: A Tool-Integrated Reasoning Agent for Mathematical Problem Solving.
Proceedings of the Twelfth International Conference on Learning Representations, 2024

AgentBench: Evaluating LLMs as Agents.
Proceedings of the Twelfth International Conference on Learning Representations, 2024

CharacterGLM: Customizing Social Characters with Large Language Models.
Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing: EMNLP 2024, 2024

Thoughts to Target: Enhance Planning for Target-driven Conversation.
Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing, 2024

ShieldLM: Empowering LLMs as Aligned, Customizable and Explainable Safety Detectors.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2024, 2024

DC-Instruct: An Effective Framework for Generative Multi-intent Spoken Language Understanding.
Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing, 2024

ASETF: A Novel Method for Jailbreak Attack on LLMs through Translate Suffix Embeddings.
Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing, 2024

Mixture-of-Modules: Reinventing Transformers as Dynamic Assemblies of Modules.
Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing, 2024

AutoDetect: Towards a Unified Framework for Automated Weakness Detection in Large Language Models.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2024, 2024

Instruction Pre-Training: Language Models are Supervised Multitask Learners.
Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing, 2024

Intent-Aware and Hate-Mitigating Counterspeech Generation via Dual-Discriminator Guided LLMs.
Proceedings of the 2024 Joint International Conference on Computational Linguistics, 2024

Defending Large Language Models Against Jailbreaking Attacks Through Goal Prioritization.
Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2024

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

COKE: A Cognitive Knowledge Graph for Machine Theory of Mind.
Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2024

Learning Task Decomposition to Assist Humans in Competitive Programming.
Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2024

EmoBench: Evaluating the Emotional Intelligence of Large Language Models.
Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2024

AlignBench: Benchmarking Chinese Alignment of Large Language Models.
Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2024

CritiqueLLM: Towards an Informative Critique Generation Model for Evaluation of Large Language Model Generation.
Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2024

360°REA: Towards A Reusable Experience Accumulation with 360° Assessment for Multi-Agent System.
Proceedings of the Findings of the Association for Computational Linguistics, 2024

Black-Box Prompt Optimization: Aligning Large Language Models without Model Training.
Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2024

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

2023
EVA2.0: Investigating Open-domain Chinese Dialogue Systems with Large-scale Pre-training.
Mach. Intell. Res., April, 2023

A chatbot for mental health support: exploring the impact of Emohaa on reducing mental distress in China.
Frontiers Digit. Health, March, 2023

Enhanced Multi-Domain Dialogue State Tracker With Second-Order Slot Interactions.
IEEE ACM Trans. Audio Speech Lang. Process., 2023

Bridging the Gap between Synthetic and Natural Questions via Sentence Decomposition for Semantic Parsing.
Trans. Assoc. Comput. Linguistics, 2023

Directed Acyclic Transformer Pre-training for High-quality Non-autoregressive Text Generation.
Trans. Assoc. Comput. Linguistics, 2023

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

CritiqueLLM: Scaling LLM-as-Critic for Effective and Explainable Evaluation of Large Language Model Generation.
CoRR, 2023

CharacterGLM: Customizing Chinese Conversational AI Characters with Large Language Models.
CoRR, 2023

Defending Large Language Models Against Jailbreaking Attacks Through Goal Prioritization.
CoRR, 2023

Enhancing Long-form Text Generation Efficacy with Task-adaptive Tokenization.
CoRR, 2023

SafetyBench: Evaluating the Safety of Large Language Models with Multiple Choice Questions.
CoRR, 2023

Knowledge Distillation of Large Language Models.
CoRR, 2023

Uncertainty in Natural Language Processing: Sources, Quantification, and Applications.
CoRR, 2023

COKE: A Cognitive Knowledge Graph for Machine Theory of Mind.
CoRR, 2023

Re<sup>3</sup>Dial: Retrieve, Reorganize and Rescale Dialogue Corpus for Long-Turn Open-Domain Dialogue Pre-training.
CoRR, 2023

Safety Assessment of Chinese Large Language Models.
CoRR, 2023

Recent Advances towards Safe, Responsible, and Moral Dialogue Systems: A Survey.
CoRR, 2023

Rethinking Conversational Agents in the Era of LLMs: Proactivity, Non-collaborativity, and Beyond.
Proceedings of the Annual International ACM SIGIR Conference on Research and Development in Information Retrieval in the Asia Pacific Region, 2023

Synthetic Prompting: Generating Chain-of-Thought Demonstrations for Large Language Models.
Proceedings of the International Conference on Machine Learning, 2023

Tailoring Language Generation Models under Total Variation Distance.
Proceedings of the Eleventh International Conference on Learning Representations, 2023

InstructSafety: A Unified Framework for Building Multidimensional and Explainable Safety Detector through Instruction Tuning.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2023, 2023

Re³Dial: Retrieve, Reorganize and Rescale Conversations for Long-Turn Open-Domain Dialogue Pre-training.
Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, 2023

Unveiling the Implicit Toxicity in Large Language Models.
Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, 2023

Enhancing Retrieval-Augmented Large Language Models with Iterative Retrieval-Generation Synergy.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2023, 2023

Multi-Source Probing for Open-Domain Conversational Understanding.
Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, 2023

Building Multi-domain Dialog State Trackers from Single-domain Dialogs.
Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, 2023

ConvLab-3: A Flexible Dialogue System Toolkit Based on a Unified Data Format.
Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, 2023

Task-Adaptive Tokenization: Enhancing Long-Form Text Generation Efficacy in Mental Health and Beyond.
Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, 2023

Goal Awareness for Conversational AI: Proactivity, Non-collaborativity, and Beyond.
Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics: Tutorial Abstracts, 2023

StoryTrans: Non-Parallel Story Author-Style Transfer with Discourse Representations and Content Enhancing.
Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2023

CASE: Aligning Coarse-to-Fine Cognition and Affection for Empathetic Response Generation.
Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2023

Facilitating Multi-turn Emotional Support Conversation with Positive Emotion Elicitation: A Reinforcement Learning Approach.
Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2023

AugESC: Dialogue Augmentation with Large Language Models for Emotional Support Conversation.
Proceedings of the Findings of the Association for Computational Linguistics: ACL 2023, 2023

Click: Controllable Text Generation with Sequence Likelihood Contrastive Learning.
Proceedings of the Findings of the Association for Computational Linguistics: ACL 2023, 2023

ETHICIST: Targeted Training Data Extraction Through Loss Smoothed Soft Prompting and Calibrated Confidence Estimation.
Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2023

E-NER: Evidential Deep Learning for Trustworthy Named Entity Recognition.
Proceedings of the Findings of the Association for Computational Linguistics: ACL 2023, 2023

Self-Supervised Sentence Polishing by Adding Engaging Modifiers.
Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics: System Demonstrations, 2023

DecompEval: Evaluating Generated Texts as Unsupervised Decomposed Question Answering.
Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2023

Uncertainty-Aware Unlikelihood Learning Improves Generative Aspect Sentiment Quad Prediction.
Proceedings of the Findings of the Association for Computational Linguistics: ACL 2023, 2023

Mitigating the Learning Bias towards Repetition by Self-Contrastive Training for Open-Ended Generation.
Proceedings of the Findings of the Association for Computational Linguistics: ACL 2023, 2023

Pre-Training to Learn in Context.
Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2023

PAL: Persona-Augmented Emotional Support Conversation Generation.
Proceedings of the Findings of the Association for Computational Linguistics: ACL 2023, 2023

MoralDial: A Framework to Train and Evaluate Moral Dialogue Systems via Moral Discussions.
Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2023

Generating Coherent Narratives by Learning Dynamic and Discrete Entity States with a Contrastive Framework.
Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

KPT: Keyword-Guided Pre-training for Grounded Dialog Generation.
Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

2022
Topic-Guided Conversational Recommender in Multiple Domains.
IEEE Trans. Knowl. Data Eng., 2022

AdvExpander: Generating Natural Language Adversarial Examples by Expanding Text.
IEEE ACM Trans. Audio Speech Lang. Process., 2022

End-to-End Task-Oriented Dialog Modeling With Semi-Structured Knowledge Management.
IEEE ACM Trans. Audio Speech Lang. Process., 2022

LOT: A Story-Centric Benchmark for Evaluating Chinese Long Text Understanding and Generation.
Trans. Assoc. Comput. Linguistics, 2022

MoralDial: A Framework to Train and Evaluate Moral Dialogue Systems via Constructing Moral Discussions.
CoRR, 2022

ConvLab-3: A Flexible Dialogue System Toolkit Based on a Unified Data Format.
CoRR, 2022

AutoCAD: Automatically Generating Counterfactuals for Mitigating Shortcut Learning.
CoRR, 2022

Chatbots for Mental Health Support: Exploring the Impact of Emohaa on Reducing Mental Distress in China.
CoRR, 2022

A Benchmark for Understanding and Generating Dialogue between Characters in Stories.
CoRR, 2022

Manual-Guided Dialogue for Flexible Conversational Agents.
CoRR, 2022

CPED: A Large-Scale Chinese Personalized and Emotional Dialogue Dataset for Conversational AI.
CoRR, 2022

Many-Class Text Classification with Matching.
CoRR, 2022

Chat-Capsule: A Hierarchical Capsule for Dialog-level Emotion Analysis.
CoRR, 2022

AugESC: Large-scale Data Augmentation for Emotional Support Conversation with Pre-trained Language Models.
CoRR, 2022

Towards Identifying Social Bias in Dialog Systems: Frame, Datasets, and Benchmarks.
CoRR, 2022

COLD: A Benchmark for Chinese Offensive Language Detection.
CoRR, 2022

Persona-Guided Planning for Controlling the Protagonist's Persona in Story Generation.
Proceedings of the 2022 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2022

LaMemo: Language Modeling with Look-Ahead Memory.
Proceedings of the 2022 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2022

A Corpus for Understanding and Generating Moral Stories.
Proceedings of the 2022 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2022

Curriculum-Based Self-Training Makes Better Few-Shot Learners for Data-to-Text Generation.
Proceedings of the Thirty-First International Joint Conference on Artificial Intelligence, 2022

Directed Acyclic Transformer for Non-Autoregressive Machine Translation.
Proceedings of the International Conference on Machine Learning, 2022

On the Learning of Non-Autoregressive Transformers.
Proceedings of the International Conference on Machine Learning, 2022

Acceleration of Federated Learning with Alleviated Forgetting in Local Training.
Proceedings of the Tenth International Conference on Learning Representations, 2022

Towards Identifying Social Bias in Dialog Systems: Framework, Dataset, and Benchmark.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2022, 2022

Aligning Recommendation and Conversation via Dual Imitation.
Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, 2022

CDConv: A Benchmark for Contradiction Detection in Chinese Conversations.
Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, 2022

Automatic Comment Generation for Chinese Student Narrative Essays.
Proceedings of the The 2022 Conference on Empirical Methods in Natural Language Processing, 2022

Constructing Highly Inductive Contexts for Dialogue Safety through Controllable Reverse Generation.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2022, 2022

AutoCAD: Automatically Generate Counterfactuals for Mitigating Shortcut Learning.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2022, 2022

A Unified Dialogue User Simulator for Few-shot Data Augmentation.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2022, 2022

Chaining Simultaneous Thoughts for Numerical Reasoning.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2022, 2022

WSpeller: Robust Word Segmentation for Enhancing Chinese Spelling Check.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2022, 2022

Learning Instructions with Unlabeled Data for Zero-Shot Cross-Task Generalization.
Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, 2022

COLD: A Benchmark for Chinese Offensive Language Detection.
Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, 2022

Answering Open-Domain Multi-Answer Questions via a Recall-then-Verify Framework.
Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2022

Rethinking and Refining the Distinct Metric.
Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 2: Short Papers), 2022

CTRLEval: An Unsupervised Reference-Free Metric for Evaluating Controlled Text Generation.
Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2022

PPT: Pre-trained Prompt Tuning for Few-shot Learning.
Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2022

On the Safety of Conversational Models: Taxonomy, Dataset, and Benchmark.
Proceedings of the Findings of the Association for Computational Linguistics: ACL 2022, 2022

Continual Prompt Tuning for Dialog State Tracking.
Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2022

CEM: Commonsense-Aware Empathetic Response Generation.
Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022

2021
Overview of the Eighth Dialog System Technology Challenge: DSTC8.
IEEE ACM Trans. Audio Speech Lang. Process., 2021

An Evaluation of Chinese Human-Computer Dialogue Technology.
Data Intell., 2021

CUGE: A Chinese Language Understanding and Generation Evaluation Benchmark.
CoRR, 2021

Unsupervised Domain Adaptation with Adapter.
CoRR, 2021

Tackling Multi-Answer Open-Domain Questions via a Recall-then-Verify Framework.
CoRR, 2021

Exploring Prompt-based Few-shot Learning for Grounded Dialog Generation.
CoRR, 2021

LOT: A Benchmark for Evaluating Chinese Long Text Understanding and Generation.
CoRR, 2021

EVA: An Open-Domain Chinese Dialogue System with Large-Scale Generative Pre-Training.
CoRR, 2021

End-to-End Task-Oriented Dialog Modeling with Semi-Structured Knowledge Management.
CoRR, 2021

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

Semantic-Enhanced Explainable Finetuning for Open-Domain Dialogues.
CoRR, 2021

CPM: A large-scale generative Chinese Pre-trained language model.
AI Open, 2021

CPM-2: Large-scale cost-effective pre-trained language models.
AI Open, 2021

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

MMConv: An Environment for Multimodal Conversational Search across Multiple Domains.
Proceedings of the SIGIR '21: The 44th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2021

MultiWOZ 2.3: A Multi-domain Task-Oriented Dialogue Dataset Enhanced with Annotation Corrections and Co-Reference Annotation.
Proceedings of the Natural Language Processing and Chinese Computing, 2021

FIVES: Feature Interaction Via Edge Search for Large-Scale Tabular Data.
Proceedings of the KDD '21: The 27th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2021

Independence-aware Advantage Estimation.
Proceedings of the Thirtieth International Joint Conference on Artificial Intelligence, 2021

EARL: Informative Knowledge-Grounded Conversation Generation with Entity-Agnostic Representation Learning.
Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing, 2021

Transferable Persona-Grounded Dialogues via Grounded Minimal Edits.
Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing, 2021

Self-training Improves Pre-training for Few-shot Learning in Task-oriented Dialog Systems.
Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing, 2021

CR-Walker: Tree-Structured Graph Reasoning and Dialog Acts for Conversational Recommendation.
Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing, 2021

DiscoDVT: Generating Long Text with Discourse-Aware Discrete Variational Transformer.
Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing, 2021

CoMAE: A Multi-factor Hierarchical Framework for Empathetic Response Generation.
Proceedings of the Findings of the Association for Computational Linguistics: ACL/IJCNLP 2021, 2021

KuiLeiXi: a Chinese Open-Ended Text Adventure Game.
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

Diversifying Dialog Generation via Adaptive Label Smoothing.
Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing, 2021

PsyQA: A Chinese Dataset for Generating Long Counseling Text for Mental Health Support.
Proceedings of the Findings of the Association for Computational Linguistics: ACL/IJCNLP 2021, 2021

A Mutual Information Maximization Approach for the Spurious Solution Problem in Weakly Supervised Question Answering.
Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing, 2021

ERICA: Improving Entity and Relation Understanding for Pre-trained Language Models via Contrastive Learning.
Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing, 2021

A Semantic-based Method for Unsupervised Commonsense Question Answering.
Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing, 2021

Towards Emotional Support Dialog Systems.
Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing, 2021

Robustness Testing of Language Understanding in Task-Oriented Dialog.
Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing, 2021

Stylized Story Generation with Style-Guided Planning.
Proceedings of the Findings of the Association for Computational Linguistics: ACL/IJCNLP 2021, 2021

JointGT: Graph-Text Joint Representation Learning for Text Generation from Knowledge Graphs.
Proceedings of the Findings of the Association for Computational Linguistics: ACL/IJCNLP 2021, 2021

NAST: A Non-Autoregressive Generator with Word Alignment for Unsupervised Text Style Transfer.
Proceedings of the Findings of the Association for Computational Linguistics: ACL/IJCNLP 2021, 2021

OpenMEVA: A Benchmark for Evaluating Open-ended Story Generation Metrics.
Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing, 2021

Long Text Generation by Modeling Sentence-Level and Discourse-Level Coherence.
Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing, 2021

HyKnow: End-to-End Task-Oriented Dialog Modeling with Hybrid Knowledge Management.
Proceedings of the Findings of the Association for Computational Linguistics: ACL/IJCNLP 2021, 2021

Stylized Dialogue Response Generation Using Stylized Unpaired Texts.
Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

2020
Challenges in Building Intelligent Open-domain Dialog Systems.
ACM Trans. Inf. Syst., 2020

Robust Reading Comprehension With Linguistic Constraints via Posterior Regularization.
IEEE ACM Trans. Audio Speech Lang. Process., 2020

Out-of-Domain Detection for Natural Language Understanding in Dialog Systems.
IEEE ACM Trans. Audio Speech Lang. Process., 2020

CrossWOZ: A Large-Scale Chinese Cross-Domain Task-Oriented Dialogue Dataset.
Trans. Assoc. Comput. Linguistics, 2020

A Knowledge-Enhanced Pretraining Model for Commonsense Story Generation.
Trans. Assoc. Comput. Linguistics, 2020

Introduction to the Special Issue on Deep Learning for Multi-Modal Intelligence Across Speech, Language, Vision, and Heterogeneous Signals.
IEEE J. Sel. Top. Signal Process., 2020

Robustness Testing of Language Understanding in Dialog Systems.
CoRR, 2020

AdvExpander: Generating Natural Language Adversarial Examples by Expanding Text.
CoRR, 2020

Bridging the Gap between Conversational Reasoning and Interactive Recommendation.
CoRR, 2020

MultiWOZ 2.3: A multi-domain task-oriented dataset enhanced with annotation corrections and co-reference annotation.
CoRR, 2020

Interactive Feature Generation via Learning Adjacency Tensor of Feature Graph.
CoRR, 2020

Knowledge-Aided Open-Domain Question Answering.
CoRR, 2020

Recent Advances and Challenges in Task-oriented Dialog System.
CoRR, 2020

Automatic Perturbation Analysis on General Computational Graphs.
CoRR, 2020

CoTK: An Open-Source Toolkit for Fast Development and Fair Evaluation of Text Generation.
CoRR, 2020

Is Your Goal-Oriented Dialog Model Performing Really Well? Empirical Analysis of System-wise Evaluation.
Proceedings of the 21th Annual Meeting of the Special Interest Group on Discourse and Dialogue, 2020

A Large-Scale Chinese Short-Text Conversation Dataset.
Proceedings of the Natural Language Processing and Chinese Computing, 2020

Automatic Perturbation Analysis for Scalable Certified Robustness and Beyond.
Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

Reinforced Molecular Optimization with Neighborhood-Controlled Grammars.
Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

Learning Goal-oriented Dialogue Policy with opposite Agent Awareness.
Proceedings of the 1st Conference of the Asia-Pacific Chapter of the Association for Computational Linguistics and the 10th International Joint Conference on Natural Language Processing, 2020

ExpanRL: Hierarchical Reinforcement Learning for Course Concept Expansion in MOOCs.
Proceedings of the 1st Conference of the Asia-Pacific Chapter of the Association for Computational Linguistics and the 10th International Joint Conference on Natural Language Processing, 2020

Generating Commonsense Explanation by Extracting Bridge Concepts from Reasoning Paths.
Proceedings of the 1st Conference of the Asia-Pacific Chapter of the Association for Computational Linguistics and the 10th International Joint Conference on Natural Language Processing, 2020

Robustness Verification for Transformers.
Proceedings of the 8th International Conference on Learning Representations, 2020

Difference-aware Knowledge Selection for Knowledge-grounded Conversation Generation.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2020, 2020

Dialogue Distillation: Open-Domain Dialogue Augmentation Using Unpaired Data.
Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing, 2020

Youling: an AI-assisted Lyrics Creation System.
Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing: System Demonstrations, 2020

Robustness to Modification with Shared Words in Paraphrase Identification.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2020, 2020

Continual Learning for Natural Language Generation in Task-oriented Dialog Systems.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2020, 2020

SentiLARE: Sentiment-Aware Language Representation Learning with Linguistic Knowledge.
Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing, 2020

Language Generation with Multi-Hop Reasoning on Commonsense Knowledge Graph.
Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing, 2020

UNION: An Unreferenced Metric for Evaluating Open-ended Story Generation.
Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing, 2020

ConvLab-2: An Open-Source Toolkit for Building, Evaluating, and Diagnosing Dialogue Systems.
Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics: System Demonstrations, 2020

KdConv: A Chinese Multi-domain Dialogue Dataset Towards Multi-turn Knowledge-driven Conversation.
Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics, 2020

Multi-Agent Task-Oriented Dialog Policy Learning with Role-Aware Reward Decomposition.
Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics, 2020

A Self-Training Method for Machine Reading Comprehension with Soft Evidence Extraction.
Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics, 2020

A Pre-Training Based Personalized Dialogue Generation Model with Persona-Sparse Data.
Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

2019
Memory-Augmented Dialogue Management for Task-Oriented Dialogue Systems.
ACM Trans. Inf. Syst., 2019

Story Ending Selection by Finding Hints From Pairwise Candidate Endings.
IEEE ACM Trans. Audio Speech Lang. Process., 2019

The Eighth Dialog System Technology Challenge.
CoRR, 2019

SentiLR: Linguistic Knowledge Enhanced Language Representation for Sentiment Analysis.
CoRR, 2019

Deep Conversational Recommender in Travel.
CoRR, 2019

Personalized Dialogue Generation with Diversified Traits.
CoRR, 2019

Domain-Constrained Advertising Keyword Generation.
Proceedings of the World Wide Web Conference, 2019

Neural Multimodal Belief Tracker with Adaptive Attention for Dialogue Systems.
Proceedings of the World Wide Web Conference, 2019

Aspect-level Sentiment Analysis using AS-Capsules.
Proceedings of the World Wide Web Conference, 2019

Aggregating E-commerce Search Results from Heterogeneous Sources via Hierarchical Reinforcement Learning.
Proceedings of the World Wide Web Conference, 2019

User Attention-guided Multimodal Dialog Systems.
Proceedings of the 42nd International ACM SIGIR Conference on Research and Development in Information Retrieval, 2019

Meta-Learning for Low-resource Natural Language Generation in Task-oriented Dialogue Systems.
Proceedings of the Twenty-Eighth International Joint Conference on Artificial Intelligence, 2019

Guided Dialog Policy Learning: Reward Estimation for Multi-Domain Task-Oriented Dialog.
Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing and the 9th International Joint Conference on Natural Language Processing, 2019

Long and Diverse Text Generation with Planning-based Hierarchical Variational Model.
Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing and the 9th International Joint Conference on Natural Language Processing, 2019

ARAML: A Stable Adversarial Training Framework for Text Generation.
Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing and the 9th International Joint Conference on Natural Language Processing, 2019

ChID: A Large-scale Chinese IDiom Dataset for Cloze Test.
Proceedings of the 57th Conference of the Association for Computational Linguistics, 2019

ConvLab: Multi-Domain End-to-End Dialog System Platform.
Proceedings of the 57th Conference of the Association for Computational Linguistics, 2019

A Hierarchical Framework for Relation Extraction with Reinforcement Learning.
Proceedings of the Thirty-Third AAAI Conference on Artificial Intelligence, 2019

A Deep Sequential Model for Discourse Parsing on Multi-Party Dialogues.
Proceedings of the Thirty-Third AAAI Conference on Artificial Intelligence, 2019

Story Ending Generation with Incremental Encoding and Commonsense Knowledge.
Proceedings of the Thirty-Third AAAI Conference on Artificial Intelligence, 2019

2018
Relation Mention Extraction from Noisy Data with Hierarchical Reinforcement Learning.
CoRR, 2018

Word Embedding based Edit Distance.
CoRR, 2018

Learning to Collaborate: Multi-Scenario Ranking via Multi-Agent Reinforcement Learning.
Proceedings of the 2018 World Wide Web Conference on World Wide Web, 2018

Chat More: Deepening and Widening the Chatting Topic via A Deep Model.
Proceedings of the 41st International ACM SIGIR Conference on Research & Development in Information Retrieval, 2018

Commonsense Knowledge Aware Conversation Generation with Graph Attention.
Proceedings of the Twenty-Seventh International Joint Conference on Artificial Intelligence, 2018

Densely Connected CNN with Multi-scale Feature Attention for Text Classification.
Proceedings of the Twenty-Seventh International Joint Conference on Artificial Intelligence, 2018

A Weakly Supervised Method for Topic Segmentation and Labeling in Goal-oriented Dialogues via Reinforcement Learning.
Proceedings of the Twenty-Seventh International Joint Conference on Artificial Intelligence, 2018

Assigning Personality/Profile to a Chatting Machine for Coherent Conversation Generation.
Proceedings of the Twenty-Seventh International Joint Conference on Artificial Intelligence, 2018

An Interpretable Reasoning Network for Multi-Relation Question Answering.
Proceedings of the 27th International Conference on Computational Linguistics, 2018

An Operation Network for Abstractive Sentence Compression.
Proceedings of the 27th International Conference on Computational Linguistics, 2018

Learning to Ask Questions in Open-domain Conversational Systems with Typed Decoders.
Proceedings of the 56th Annual Meeting of the Association for Computational Linguistics, 2018

Generating Informative Responses with Controlled Sentence Function.
Proceedings of the 56th Annual Meeting of the Association for Computational Linguistics, 2018

Emotional Chatting Machine: Emotional Conversation Generation with Internal and External Memory.
Proceedings of the Thirty-Second AAAI Conference on Artificial Intelligence, 2018

Learning Structured Representation for Text Classification via Reinforcement Learning.
Proceedings of the Thirty-Second AAAI Conference on Artificial Intelligence, 2018

Augmenting End-to-End Dialogue Systems With Commonsense Knowledge.
Proceedings of the Thirty-Second AAAI Conference on Artificial Intelligence, 2018

Reinforcement Learning for Relation Classification From Noisy Data.
Proceedings of the Thirty-Second AAAI Conference on Artificial Intelligence, 2018

2017
Encoding Syntactic Knowledge in Neural Networks for Sentiment Classification.
ACM Trans. Inf. Syst., 2017

Assigning personality/identity to a chatting machine for coherent conversation generation.
CoRR, 2017

SAR: A Semantic Analysis Approach for Recommendation.
CoRR, 2017

SG01 at the NTCIR-13 STC-2 Task.
Proceedings of the 13th NTCIR Conference, 2017

Dialogue Intent Classification with Long Short-Term Memory Networks.
Proceedings of the Natural Language Processing and Chinese Computing, 2017

Overview of the NLPCC 2017 Shared Task: Emotion Generation Challenge.
Proceedings of the Natural Language Processing and Chinese Computing, 2017

Give me Something Unknown: Incorporate Exploration Preference in Cognition into Recommender System.
Proceedings of the 29th IEEE International Conference on Tools with Artificial Intelligence, 2017

Linguistically Regularized LSTM for Sentiment Classification.
Proceedings of the 55th Annual Meeting of the Association for Computational Linguistics, 2017

SSP: Semantic Space Projection for Knowledge Graph Embedding with Text Descriptions.
Proceedings of the Thirty-First AAAI Conference on Artificial Intelligence, 2017

2016
Linguistically Regularized LSTMs for Sentiment Classification.
CoRR, 2016

Modeling Rich Contexts for Sentiment Classification with LSTM.
CoRR, 2016

Knowledge Semantic Representation: A Generative Model for Interpretable Knowledge Graph Embedding.
CoRR, 2016

SSP: Semantic Space Projection for Knowledge Graph Embedding with Text Descriptions.
CoRR, 2016

Knowledge Graph Embedding by Flexible Translation.
Proceedings of the Principles of Knowledge Representation and Reasoning: Proceedings of the Fifteenth International Conference, 2016

From One Point to a Manifold: Knowledge Graph Embedding for Precise Link Prediction.
Proceedings of the Twenty-Fifth International Joint Conference on Artificial Intelligence, 2016

Attention-based LSTM for Aspect-level Sentiment Classification.
Proceedings of the 2016 Conference on Empirical Methods in Natural Language Processing, 2016

Context-aware Natural Language Generation for Spoken Dialogue Systems.
Proceedings of the COLING 2016, 2016

Product Review Summarization by Exploiting Phrase Properties.
Proceedings of the COLING 2016, 2016

GAKE: Graph Aware Knowledge Embedding.
Proceedings of the COLING 2016, 2016

Scalable Functional Dependencies Discovery from Big Data.
Proceedings of the IEEE Second International Conference on Multimedia Big Data, 2016

A Sentence Interaction Network for Modeling Dependence between Sentences.
Proceedings of the 54th Annual Meeting of the Association for Computational Linguistics, 2016

TransG : A Generative Model for Knowledge Graph Embedding.
Proceedings of the 54th Annual Meeting of the Association for Computational Linguistics, 2016

Semi-Supervised Multinomial Naive Bayes for Text Classification by Leveraging Word-Level Statistical Constraint.
Proceedings of the Thirtieth AAAI Conference on Artificial Intelligence, 2016

2015
Leveraging Large Data with Weak Supervision for Joint Feature and Opinion Word Extraction.
J. Comput. Sci. Technol., 2015

Robustly Leveraging Prior Knowledge in Text Classification.
CoRR, 2015

From One Point to A Manifold: Orbit Models for Knowledge Graph Embedding.
CoRR, 2015

TransA: An Adaptive Approach for Knowledge Graph Embedding.
CoRR, 2015

TransG : A Generative Mixture Model for Knowledge Graph Embedding.
CoRR, 2015

Clustering Sentiment Phrases in Product Reviews by Constrained Co-clustering.
Proceedings of the Natural Language Processing and Chinese Computing - 4th CCF Conference, 2015

Incorporating Domain and Sentiment Supervision in Representation Learning for Domain Adaptation.
Proceedings of the Twenty-Fourth International Joint Conference on Artificial Intelligence, 2015

Sentiment Extraction by Leveraging Aspect-Opinion Association Structure.
Proceedings of the 24th ACM International Conference on Information and Knowledge Management, 2015

Learning Tag Embeddings and Tag-specific Composition Functions in Recursive 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

2014
Estimating feature ratings through an effective review selection approach.
Knowl. Inf. Syst., 2014

Exploring the Interactions of Storylines from Informative News Events.
J. Comput. Sci. Technol., 2014

Clustering Aspect-related Phrases by Leveraging Sentiment Distribution Consistency.
Proceedings of the 2014 Conference on Empirical Methods in Natural Language Processing, 2014

Ranking Sentiment Explanations for Review Summarization Using Dual Decomposition.
Proceedings of the 23rd ACM International Conference on Conference on Information and Knowledge Management, 2014

New Word Detection for Sentiment Analysis.
Proceedings of the 52nd Annual Meeting of the Association for Computational Linguistics, 2014

2013
Exploring weakly supervised latent sentiment explanations for aspect-level review analysis.
Proceedings of the 22nd ACM International Conference on Information and Knowledge Management, 2013

2012
A Unified Active Learning Framework for Biomedical Relation Extraction.
J. Comput. Sci. Technol., 2012

PatentMiner: topic-driven patent analysis and mining.
Proceedings of the 18th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2012

Sentiment Analysis with Multi-source Product Reviews.
Proceedings of the Intelligent Computing Technology - 8th International Conference, 2012

Finding nuggets in IP portfolios: core patent mining through textual temporal analysis.
Proceedings of the 21st ACM International Conference on Information and Knowledge Management, 2012

Fine Granular Aspect Analysis using Latent Structural Models.
Proceedings of the 50th Annual Meeting of the Association for Computational Linguistics, Proceedings of the Conference, July 8-14, 2012, Jeju Island, Korea, 2012

Using First-Order Logic to Compress Sentences.
Proceedings of the Twenty-Sixth AAAI Conference on Artificial Intelligence, 2012

2011
Guided Structure-Aware Review Summarization.
J. Comput. Sci. Technol., 2011

Recommending MeSH terms for annotating biomedical articles.
J. Am. Medical Informatics Assoc., 2011

The gene normalization task in BioCreative III.
BMC Bioinform., 2011

GeneTUKit: a software for document-level gene normalization.
Bioinform., 2011

Quality-biased Ranking of Short Texts in Microblogging Services.
Proceedings of the Fifth International Joint Conference on Natural Language Processing, 2011

Learning to Identify Review Spam.
Proceedings of the IJCAI 2011, 2011

Generating Breakpoint-based Timeline Overview for News Topic Retrospection.
Proceedings of the 11th IEEE International Conference on Data Mining, 2011

Protein-protein interaction extraction from bio-literature with compact features and data sampling strategy.
Proceedings of the 4th International Conference on Biomedical Engineering and Informatics, 2011

2010
A New Approach for Multi-Document Update Summarization.
J. Comput. Sci. Technol., 2010

The THU Summarization Systems at TAC 2010.
Proceedings of the Third Text Analysis Conference, 2010

Learning to Link Entities with Knowledge Base.
Proceedings of the Human Language Technologies: Conference of the North American Chapter of the Association of Computational Linguistics, 2010

Structure-Aware Review Mining and Summarization.
Proceedings of the COLING 2010, 2010

A Comparative Study on Ranking and Selection Strategies for Multi-Document Summarization.
Proceedings of the COLING 2010, 2010

Learning to Annotate Scientific Publications.
Proceedings of the COLING 2010, 2010

Recognizing Biomedical Named Entities Using Skip-Chain Conditional Random Fields.
Proceedings of the 2010 Workshop on Biomedical Natural Language Processing, 2010

Metadata-Aware Measures for Answer Summarization in Community Question Answering.
Proceedings of the ACL 2010, 2010

Sentiment Analysis with Global Topics and Local Dependency.
Proceedings of the Twenty-Fourth AAAI Conference on Artificial Intelligence, 2010

2009
Mining Reviews for Product Comparison and Recommendation.
Polibits, 2009

Extract interaction detection methods from the biological literature.
BMC Bioinform., 2009

Specialized Review Selection for Feature Rating Estimation.
Proceedings of the 2009 IEEE/WIC/ACM International Conference on Web Intelligence, 2009

Summarizing Documents by Measuring the Importance of a Subset of Vertices within a Graph.
Proceedings of the 2009 IEEE/WIC/ACM International Conference on Web Intelligence, 2009

Tsinghua University at TAC 2009: Summarizing Multi-documents by Information Distance.
Proceedings of the Second Text Analysis Conference, 2009

THU QUANTA at TAC 2009 KBP and RTE Track.
Proceedings of the Second Text Analysis Conference, 2009

Multi-document Summarization by Information Distance.
Proceedings of the ICDM 2009, 2009

Towards Automatic Generation of Gene Summary.
Proceedings of the BioNLP Workshop, BioNLP@HLT-NAACL 2009, 2009

Answering Opinion Questions with Random Walks on Graphs.
Proceedings of the ACL 2009, 2009

A query-specific opinion summarization system.
Proceedings of the 8th IEEE International Conference on Cognitive Informatics, 2009

2008
Exploiting and integrating rich features for biological literature classification.
BMC Bioinform., 2008

THU QUANTA at TAC 2008 QA and RTE Track.
Proceedings of the First Text Analysis Conference, 2008

Tsinghua University at the Summarization Track of TAC 2008.
Proceedings of the First Text Analysis Conference, 2008

A Generative Probabilistic Model for Multi-label Classification.
Proceedings of the 8th IEEE International Conference on Data Mining (ICDM 2008), 2008

2007
Combining Convolution Kernels Defined on Heterogeneous Sub-structures.
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2007

A Novel Kernel-Based Approach for Predicting Binding Peptides for HLA Class II Molecules.
Proceedings of the Bioinformatics Research and Applications, Third International Symposium, 2007

Semi-supervised Pattern Learning for Extracting Relations from Bioscience Texts.
Proceedings of 5th Asia-Pacific Bioinformatics Conference, 2007

2006
A hybrid method for relation extraction from biomedical literature.
Int. J. Medical Informatics, 2006

An Ontology-Based Mining System for Competitive Intelligence in Neuroscience.
Proceedings of the Web Intelligence Meets Brain Informatics, 2006

ONBRIRES: Ontology-Based Biological Relation Extraction System.
Proceedings of 4th Asia-Pacific Bioinformatics Conference. 13-16 February 2006, 2006

2005
Discovering patterns to extract protein-protein interactions from the literature: Part II.
Bioinform., 2005

Learning Domain-Specific Knowledge from Context--THUIR at TREC 2005 Genomics Track.
Proceedings of the Fourteenth Text REtrieval Conference, 2005

2004
Discovering patterns to extract protein-protein interactions from full texts.
Bioinform., 2004

Discovering Patterns to Extract Protein-Protein Interactions from Full Biomedical Texts.
Proceedings of the International Joint Workshop on Natural Language Processing in Biomedicine and its Applications, 2004


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