Xuanjing Huang

AgentGym2: Benchmarking Large Language Model Agents in De-Idealized Real-World Environments ACL 2026 Which Reasoning Trajectories Teach Students to Reason Better? A Simple Metric of Informative Alignment ACL 2026 Explainable Synthetic Image Detection Through Diffusion Timestep Ensembling AAAI 2026 VRPO: Rethinking Value Modeling for Robust RL under Noisy Supervision in LLM Post-Training ACL 2026 Beyond Scaling: Measuring and Predicting the Upper Bound of Knowledge Retention in Language Model Pre-Training ACL 2026 VIB-Probe: Detecting and Mitigating Hallucinations in Vision-Language Models via Variational Information Bottleneck ACL 2026 Counteracting the Matthew Effect in Self-Improvement of LVLMs through Head-Tail Re-balancing ACL 2026 LLMEval-Fair: A Large-Scale Longitudinal Study on Robust and Fair Evaluation of Large Language Models ACL 2026 OctoBench: Benchmarking Scaffold-Aware Instruction Following in Repository-Grounded Agentic Coding ACL 2026 MetaAct-RL: Training Language Models for Reasoning Through Meta-Action-Based Reinforcement Learning AAAI 2026 DARM: Distribution-Aware Reward Modeling by Alleviating Biases from Low Preference-Context Dependency Data ACL 2026 Outcome Accuracy is Not Enough: Aligning the Reasoning Process of Reward Models ACL 2026 VLSBench: Unveiling Visual Leakage in Multimodal Safety ACL 2025 Lost in the Context: Insufficient and Distracted Attention to Contexts in Preference Modeling ACL 2025 Dynamic and Generalizable Process Reward Modeling ACL 2025 ToolHop: A Query-Driven Benchmark for Evaluating Large Language Models in Multi-Hop Tool Use ACL 2025 Governance in Motion: Co-evolution of Constitutions and AI models for Scalable Safety EMNLP 2025 Parrot: A Training Pipeline Enhances Both Program CoT and Natural Language CoT for Reasoning EMNLP 2025 Synergistic Multi-Agent Framework with Trajectory Learning for Knowledge-Intensive Tasks AAAI 2025 COSEE: Consistency-Oriented Signal-Based Early Exiting via Calibrated Sample Weighting Mechanism AAAI 2025 Multi-Agent Simulator Drives Language Models for Legal Intensive Interaction NAACL 2025 SFMSS: Service Flow aware Medical Scenario Simulation for Conversational Data Generation NAACL 2025 Safe Inputs but Unsafe Output: Benchmarking Cross-modality Safety Alignment of Large Vision-Language Models NAACL 2025 Mitigating Tail Narrowing in LLM Self-Improvement via Socratic-Guided Sampling NAACL 2025 AgentSense: Benchmarking Social Intelligence of Language Agents through Interactive Scenarios NAACL 2025 VoCoT: Unleashing Visually Grounded Multi-Step Reasoning in Large Multi-Modal Models NAACL 2025 Alleviating Shifted Distribution in Human Preference Alignment through Meta-Learning AAAI 2025 EvoWiki: Evaluating LLMs on Evolving Knowledge ACL 2025 LoRACoE: Improving Large Language Model via Composition-based LoRA Expert EMNLP 2025 Toward Optimal LLM Alignments Using Two-Player Games EMNLP 2025 TL-Training: A Task-Feature-Based Framework for Training Large Language Models in Tool Use EMNLP 2025 Error Classification of Large Language Models on Math Word Problems: A Dynamically Adaptive Framework EMNLP 2025 Analyzing the Effects of Supervised Fine-Tuning on Model Knowledge from Token and Parameter Levels EMNLP 2025 SATER: A Self-Aware and Token-Efficient Approach to Routing and Cascading EMNLP 2025 VehicleWorld: A Highly Integrated Multi-Device Environment for Intelligent Vehicle Interaction EMNLP 2025 Mitigating Object Hallucinations in MLLMs via Multi-Frequency Perturbations EMNLP 2025 RIVAL: Reinforcement Learning with Iterative and Adversarial Optimization for Machine Translation EMNLP 2025 Distill Visual Chart Reasoning Ability from LLMs to MLLMs EMNLP 2025 UPLex: Fine-Grained Personality Control in Large Language Models via Unsupervised Lexical Modulation EMNLP 2025 LLMEval-Med: A Real-world Clinical Benchmark for Medical LLMs with Physician Validation EMNLP 2025 EcoLANG: Efficient and Effective Agent Communication Language Induction for Social Simulation EMNLP 2025 Enhancing Model Privacy in Federated Learning with Random Masking and Quantization EMNLP 2025 ObjectRelator: Enabling Cross-View Object Relation Understanding Across Ego-Centric and Exo-Centric Perspectives ICCV 2025 Have the VLMs Lost Confidence? A Study of Sycophancy in VLMs ICLR 2025 RMB: Comprehensively benchmarking reward models in LLM alignment ICLR 2025 SPA-VL: A Comprehensive Safety Preference Alignment Dataset for Vision Language Models CVPR 2025 Prior-Fitted Networks Scale to Larger Datasets When Treated as Weak Learners AISTATS 2025 AI-Press: A Multi-Agent News Generating and Feedback Simulation System Powered by Large Language Models COLING 2025 Case2Code: Scalable Synthetic Data for Code Generation COLING 2025 Beyond Boundaries: Learning a Universal Entity Taxonomy across Datasets and Languages for Open Named Entity Recognition COLING 2025 Benchmark Self-Evolving: A Multi-Agent Framework for Dynamic LLM Evaluation COLING 2025 Revisiting Jailbreaking for Large Language Models: A Representation Engineering Perspective COLING 2025 ToolEyes: Fine-Grained Evaluation for Tool Learning Capabilities of Large Language Models in Real-world Scenarios COLING 2025 Dendritic Localized Learning: Toward Biologically Plausible Algorithm ICML 2025 LongSafety: Enhance Safety for Long-Context LLMs ACL 2025 Improving Continual Pre-training Through Seamless Data Packing ACL 2025 Better Process Supervision with Bi-directional Rewarding Signals ACL 2025 TripTailor: A Real-World Benchmark for Personalized Travel Planning ACL 2025 Tell Me What You Don’t Know: Enhancing Refusal Capabilities of Role-Playing Agents via Representation Space Analysis and Editing ACL 2025 PFDial: A Structured Dialogue Instruction Fine-tuning Method Based on UML Flowcharts ACL 2025 Multi-Programming Language Sandbox for LLMs ACL 2025 Activating Distributed Visual Region within LLMs for Efficient and Effective Vision-Language Training and Inference ACL 2025 AgentGym: Evaluating and Training Large Language Model-based Agents across Diverse Environments ACL 2025 HAF-RM: A Hybrid Alignment Framework for Reward Model Training ACL 2025 Measuring Data Diversity for Instruction Tuning: A Systematic Analysis and A Reliable Metric ACL 2025 Efficient and Effective Time-Series Forecasting with Spiking Neural Networks ICML 2024 RoTBench: A Multi-Level Benchmark for Evaluating the Robustness of Large Language Models in Tool Learning EMNLP 2024 TransferTOD: A Generalizable Chinese Multi-Domain Task-Oriented Dialogue System with Transfer Capabilities EMNLP 2024 Improving Discriminative Capability of Reward Models in RLHF Using Contrastive Learning EMNLP 2024 LONGAGENT: Achieving Question Answering for 128k-Token-Long Documents through Multi-Agent Collaboration EMNLP 2024 Exploring the Compositional Deficiency of Large Language Models in Mathematical Reasoning Through Trap Problems EMNLP 2024 Explicit Memory Learning with Expectation Maximization EMNLP 2024 Searching for Best Practices in Retrieval-Augmented Generation EMNLP 2024 Unveiling and Consulting Core Experts in Retrieval-Augmented MoE-based LLMs EMNLP 2024 Reward Modeling Requires Automatic Adjustment Based on Data Quality EMNLP 2024 LongHeads: Multi-Head Attention is Secretly a Long Context Processor EMNLP 2024 Inverse-Q*: Token Level Reinforcement Learning for Aligning Large Language Models Without Preference Data EMNLP 2024 Inference-Time Decontamination: Reusing Leaked Benchmarks for Large Language Model Evaluation EMNLP 2024 Promoting Data and Model Privacy in Federated Learning through Quantized LoRA EMNLP 2024 Self-Demos: Eliciting Out-of-Demonstration Generalizability in Large Language Models NAACL 2024 Advancing Spiking Neural Networks for Sequential Modeling with Central Pattern Generators NIPS 2024 Infer Induced Sentiment of Comment Response to Video: A New Task, Dataset and Baseline NIPS 2024 LoRAMoE: Alleviating World Knowledge Forgetting in Large Language Models via MoE-Style Plugin ACL 2024 ToolSword: Unveiling Safety Issues of Large Language Models in Tool Learning Across Three Stages ACL 2024 Enhancing Contrastive Learning with Noise-Guided Attack: Towards Continual Relation Extraction in the Wild ACL 2024 Reasoning in Flux: Enhancing Large Language Models Reasoning through Uncertainty-aware Adaptive Guidance ACL 2024 StepCoder: Improving Code Generation with Reinforcement Learning from Compiler Feedback ACL 2024 Navigating the OverKill in Large Language Models ACL 2024 Unveiling Linguistic Regions in Large Language Models ACL 2024 F-Eval: Asssessing Fundamental Abilities with Refined Evaluation Methods ACL 2024 Aligning Large Language Models with Human Preferences through Representation Engineering ACL 2024 Advancing Parameter Efficiency in Fine-tuning via Representation Editing ACL 2024 EmbSpatial-Bench: Benchmarking Spatial Understanding for Embodied Tasks with Large Vision-Language Models ACL 2024 SoMeLVLM: A Large Vision Language Model for Social Media Processing ACL 2024 Unveiling the Truth and Facilitating Change: Towards Agent-based Large-scale Social Movement Simulation ACL 2024 LLM can Achieve Self-Regulation via Hyperparameter Aware Generation ACL 2024 ALaRM: Align Language Models via Hierarchical Rewards Modeling ACL 2024 Making Harmful Behaviors Unlearnable for Large Language Models ACL 2024 Length Generalization of Causal Transformers without Position Encoding ACL 2024 Debatrix: Multi-dimensional Debate Judge with Iterative Chronological Analysis Based on LLM ACL 2024 Who Responded to Whom: The Joint Effects of Latent Topics and Discourse in Conversation Structure ACL 2024 Aggregation of Reasoning: A Hierarchical Framework for Enhancing Answer Selection in Large Language Models COLING 2024 DELAN: Dual-Level Alignment for Vision-and-Language Navigation by Cross-Modal Contrastive Learning COLING 2024 Domain Generalization via Causal Adjustment for Cross-Domain Sentiment Analysis COLING 2024 Multi-Objective Forward Reasoning and Multi-Reward Backward Refinement for Product Review Summarization COLING 2024 ORTicket: Let One Robust BERT Ticket Transfer across Different Tasks COLING 2024 PASUM: A Pre-training Architecture for Social Media User Modeling Based on Text Graph COLING 2024 RoCoIns: Enhancing Robustness of Large Language Models through Code-Style Instructions COLING 2024 Subspace Defense: Discarding Adversarial Perturbations by Learning a Subspace for Clean Signals COLING 2024 Training Large Language Models for Reasoning through Reverse Curriculum Reinforcement Learning ICML 2024 Improving Generalization of Alignment with Human Preferences through Group Invariant Learning ICLR 2024 Scaling Laws for Fact Memorization of Large Language Models EMNLP 2024 LLMs-as-Instructors: Learning from Errors Toward Automating Model Improvement EMNLP 2024 PDF-to-Tree: Parsing PDF Text Blocks into a Tree EMNLP 2024 Automating Dataset Updates Towards Reliable and Timely Evaluation of Large Language Models NIPS 2024 LLMEval: A Preliminary Study on How to Evaluate Large Language Models AAAI 2024 A Confidence-based Partial Label Learning Model for Crowd-Annotated Named Entity Recognition ACL 2023 Characterizing the Impacts of Instances on Robustness ACL 2023 TextObfuscator: Making Pre-trained Language Model a Privacy Protector via Obfuscating Word Representations ACL 2023 Query Structure Modeling for Inductive Logical Reasoning Over Knowledge Graphs ACL 2023 Enhancing Unsupervised Semantic Parsing with Distributed Contextual Representations ACL 2023 Do Large Language Models Know What They Don’t Know? ACL 2023 Connectivity Patterns are Task Embeddings ACL 2023 Hi-ArG: Exploring the Integration of Hierarchical Argumentation Graphs in Language Pretraining EMNLP 2023 TextMixer: Mixing Multiple Inputs for Privacy-Preserving Inference EMNLP 2023 From Hypergraph Energy Functions to Hypergraph Neural Networks ICML 2023 KNSE: A Knowledge-aware Natural Language Inference Framework for Dialogue Symptom Status Recognition ACL 2023 Detecting Adversarial Samples through Sharpness of Loss Landscape ACL 2023 On the Universal Adversarial Perturbations for Efficient Data-free Adversarial Detection ACL 2023 Inductive Relation Inference of Knowledge Graph Enhanced by Ontology Information EMNLP 2023 Exchange-of-Thought: Enhancing Large Language Model Capabilities through Cross-Model Communication EMNLP 2023 Measure Children’s Mindreading Ability with Machine Reading EMNLP 2023 Unleashing the Power of Language Models in Text-Attributed Graph EMNLP 2023 Parameter Efficient Multi-task Fine-tuning by Learning to Transfer Token-wise Prompts EMNLP 2023 RealBehavior: A Framework for Faithfully Characterizing Foundation Models’ Human-like Behavior Mechanisms EMNLP 2023 Watermarking PLMs on Classification Tasks by Combining Contrastive Learning with Weight Perturbation EMNLP 2023 Loose lips sink ships: Mitigating Length Bias in Reinforcement Learning from Human Feedback EMNLP 2023 RethinkingTMSC: An Empirical Study for Target-Oriented Multimodal Sentiment Classification EMNLP 2023 Argue with Me Tersely: Towards Sentence-Level Counter-Argument Generation EMNLP 2023 Hallucination Detection for Generative Large Language Models by Bayesian Sequential Estimation EMNLP 2023 Orthogonal Subspace Learning for Language Model Continual Learning EMNLP 2023 DiffusionBERT: Improving Generative Masked Language Models with Diffusion Models ACL 2023 UTC-IE: A Unified Token-pair Classification Architecture for Information Extraction ACL 2023 Unifying Cross-Lingual and Cross-Modal Modeling Towards Weakly Supervised Multilingual Vision-Language Pre-training ACL 2023 One-Model-Connects-All: A Unified Graph Pre-Training Model for Online Community Modeling EMNLP 2023 Are Structural Concepts Universal in Transformer Language Models? Towards Interpretable Cross-Lingual Generalization EMNLP 2023 Self-Polish: Enhance Reasoning in Large Language Models via Problem Refinement EMNLP 2023 Open Set Relation Extraction via Unknown-Aware Training ACL 2023 Multitask Pre-training of Modular Prompt for Chinese Few-Shot Learning ACL 2023 UPPAM: A Unified Pre-training Architecture for Political Actor Modeling based on Language ACL 2023 CodeIE: Large Code Generation Models are Better Few-Shot Information Extractors ACL 2023 Towards Building More Robust NER datasets: An Empirical Study on NER Dataset Bias from a Dataset Difficulty View EMNLP 2023 TableVLM: Multi-modal Pre-training for Table Structure Recognition ACL 2023 Modeling the Q-Diversity in a Min-max Play Game for Robust Optimization ACL 2023 LFKQG: A Controlled Generation Framework with Local Fine-tuning for Question Generation over Knowledge Bases COLING 2022 CoNT: Contrastive Neural Text Generation NIPS 2022 Regularized Molecular Conformation Fields NIPS 2022 Locate Then Ask: Interpretable Stepwise Reasoning for Multi-hop Question Answering COLING 2022 A Multi-Format Transfer Learning Model for Event Argument Extraction via Variational Information Bottleneck COLING 2022 Decorrelate Irrelevant, Purify Relevant: Overcome Textual Spurious Correlations from a Feature Perspective COLING 2022 A Progressive Framework for Role-Aware Rumor Resolution COLING 2022 PlugAT: A Plug and Play Module to Defend against Textual Adversarial Attack COLING 2022 CoLo: A Contrastive Learning Based Re-ranking Framework for One-Stage Summarization COLING 2022 Improving Abstractive Dialogue Summarization with Speaker-Aware Supervised Contrastive Learning COLING 2022 Causal Intervention Improves Implicit Sentiment Analysis COLING 2022 Making Parameter-efficient Tuning More Efficient: A Unified Framework for Classification Tasks COLING 2022 A Structure-Aware Argument Encoder for Literature Discourse Analysis COLING 2022 Kernel-Whitening: Overcome Dataset Bias with Isotropic Sentence Embedding EMNLP 2022 Cross-Linguistic Syntactic Difference in Multilingual BERT: How Good is It and How Does It Affect Transfer? EMNLP 2022 Efficient Adversarial Training with Robust Early-Bird Tickets EMNLP 2022 TextFusion: Privacy-Preserving Pre-trained Model Inference via Token Fusion EMNLP 2022 ProofInfer: Generating Proof via Iterative Hierarchical Inference EMNLP 2022 Late Prompt Tuning: A Late Prompt Could Be Better Than Many Prompts EMNLP 2022 Weight Perturbation as Defense against Adversarial Word Substitutions EMNLP 2022 A Simple Hash-Based Early Exiting Approach For Language Understanding and Generation ACL 2022 Towards Adversarially Robust Text Classifiers by Learning to Reweight Clean Examples ACL 2022 CQG: A Simple and Effective Controlled Generation Framework for Multi-hop Question Generation ACL 2022 Flooding-X: Improving BERT’s Resistance to Adversarial Attacks via Loss-Restricted Fine-Tuning ACL 2022 MINER: Improving Out-of-Vocabulary Named Entity Recognition from an Information Theoretic Perspective ACL 2022 Robust Lottery Tickets for Pre-trained Language Models ACL 2022 What Dense Graph Do You Need for Self-Attention? ICML 2022 Black-Box Tuning for Language-Model-as-a-Service ICML 2022 Towards Efficient NLP: A Standard Evaluation and A Strong Baseline NAACL 2022 Template-free Prompt Tuning for Few-shot NER NAACL 2022 Negative Sample is Negative in Its Own Way: Tailoring Negative Sentences for Image-Text Retrieval NAACL 2022 BERTScore is Unfair: On Social Bias in Language Model-Based Metrics for Text Generation EMNLP 2022 BBTv2: Towards a Gradient-Free Future with Large Language Models EMNLP 2022 Accelerating BERT Inference for Sequence Labeling via Early-Exit ACL 2021 Align Voting Behavior with Public Statements for Legislator Representation Learning ACL 2021 Defense against Synonym Substitution-based Adversarial Attacks via Dirichlet Neighborhood Ensemble ACL 2021 Enhancing Scientific Papers Summarization with Citation Graph AAAI 2021 An Unsupervised Sampling Approach for Image-Sentence Matching Using Document-level Structural Information AAAI 2021 Topic-Oriented Spoken Dialogue Summarization for Customer Service with Saliency-Aware Topic Modeling AAAI 2021 Unsupervised Summarization for Chat Logs with Topic-Oriented Ranking and Context-Aware Auto-Encoders AAAI 2021 Math Word Problem Solving with Explicit Numerical Values ACL 2021 SENT: Sentence-level Distant Relation Extraction via Negative Training ACL 2021 SpanNER: Named Entity Re-/Recognition as Span Prediction ACL 2021 Exploration and Exploitation: Two Ways to Improve Chinese Spelling Correction Models ACL 2021 fastHan: A BERT-based Multi-Task Toolkit for Chinese NLP ACL 2021 TextFlint: Unified Multilingual Robustness Evaluation Toolkit for Natural Language Processing ACL 2021 Attending via both Fine-tuning and Compressing IJCNLP 2021 Larger-Context Tagging: When and Why Does It Work? NAACL 2021 K-Adapter: Infusing Knowledge into Pre-Trained Models with Adapters ACL 2021 Attending via both Fine-tuning and Compressing ACL 2021 TCIC: Theme Concepts Learning Cross Language and Vision for Image Captioning IJCAI 2021 Accelerating BERT Inference for Sequence Labeling via Early-Exit IJCNLP 2021 Align Voting Behavior with Public Statements for Legislator Representation Learning IJCNLP 2021 Defense against Synonym Substitution-based Adversarial Attacks via Dirichlet Neighborhood Ensemble IJCNLP 2021 Math Word Problem Solving with Explicit Numerical Values IJCNLP 2021 SENT: Sentence-level Distant Relation Extraction via Negative Training IJCNLP 2021 SpanNER: Named Entity Re-/Recognition as Span Prediction IJCNLP 2021 Exploration and Exploitation: Two Ways to Improve Chinese Spelling Correction Models IJCNLP 2021 fastHan: A BERT-based Multi-Task Toolkit for Chinese NLP IJCNLP 2021 TextFlint: Unified Multilingual Robustness Evaluation Toolkit for Natural Language Processing IJCNLP 2021 K-Adapter: Infusing Knowledge into Pre-Trained Models with Adapters IJCNLP 2021 Discrete Argument Representation Learning for Interactive Argument Pair Identification NAACL 2021 Mask Attention Networks: Rethinking and Strengthen Transformer NAACL 2021 Heterogeneous Graph Neural Networks for Extractive Document Summarization ACL 2020 Learning Sparse Sharing Architectures for Multiple Tasks AAAI 2020 Storytelling from an Image Stream Using Scene Graphs AAAI 2020 Constructing Multiple Tasks for Augmentation: Improving Neural Image Classification with K-Means Features AAAI 2020 Simplify the Usage of Lexicon in Chinese NER ACL 2020 Extractive Summarization as Text Matching ACL 2020 Evaluating and Enhancing the Robustness of Neural Network-based Dependency Parsing Models with Adversarial Examples ACL 2020 FLAT: Chinese NER Using Flat-Lattice Transformer ACL 2020 An Enhanced Knowledge Injection Model for Commonsense Generation COLING 2020 Keep it Consistent: Topic-Aware Storytelling from an Image Stream via Iterative Multi-agent Communication COLING 2020 CoLAKE: Contextualized Language and Knowledge Embedding COLING 2020 Modeling Evolution of Message Interaction for Rumor Resolution COLING 2020 Uncertainty-Aware Label Refinement for Sequence Labeling EMNLP 2020 Tasty Burgers, Soggy Fries: Probing Aspect Robustness in Aspect-Based Sentiment Analysis EMNLP 2020 Leveraging Declarative Knowledge in Text and First-Order Logic for Fine-Grained Propaganda Detection EMNLP 2020 RethinkCWS: Is Chinese Word Segmentation a Solved Task? EMNLP 2020 A Knowledge-Aware Sequence-to-Tree Network for Math Word Problem Solving EMNLP 2020 PathQG: Neural Question Generation from Facts EMNLP 2020 Toward Recognizing More Entity Types in NER: An Efficient Implementation using Only Entity Lexicons EMNLP 2020 A Concise Model for Multi-Criteria Chinese Word Segmentation with Transformer Encoder EMNLP 2020 Cross-Lingual Dependency Parsing by POS-Guided Word Reordering EMNLP 2020 CDEvalSumm: An Empirical Study of Cross-Dataset Evaluation for Neural Summarization Systems EMNLP 2020 Automatic Term Name Generation for Gene Ontology: Task and Dataset EMNLP 2020 Leveraging Document-Level Label Consistency for Named Entity Recognition IJCAI 2020 Learning Task-Specific Representation for Novel Words in Sequence Labeling IJCAI 2019 Trainable Undersampling for Class-Imbalance Learning AAAI 2019 GlossBERT: BERT for Word Sense Disambiguation with Gloss Knowledge IJCNLP 2019 Asynchronous Deep Interaction Network for Natural Language Inference IJCNLP 2019 A Lexicon-Based Graph Neural Network for Chinese NER IJCNLP 2019 Asynchronous Deep Interaction Network for Natural Language Inference EMNLP 2019 A Lexicon-Based Graph Neural Network for Chinese NER EMNLP 2019 A Closer Look at Data Bias in Neural Extractive Summarization Models EMNLP 2019 Long Short-Term Memory with Dynamic Skip Connections AAAI 2019 Contextualized Non-Local Neural Networks for Sequence Learning AAAI 2019 A Multi-Agent Communication Framework for Question-Worthy Phrase Extraction and Question Generation AAAI 2019 GlossBERT: BERT for Word Sense Disambiguation with Gloss Knowledge EMNLP 2019 Searching for Effective Neural Extractive Summarization: What Works and What’s Next ACL 2019 Distantly Supervised Named Entity Recognition using Positive-Unlabeled Learning ACL 2019 Generating Responses with a Specific Emotion in Dialog ACL 2019 Style Transformer: Unpaired Text Style Transfer without Disentangled Latent Representation ACL 2019 Bridging by Word: Image Grounded Vocabulary Construction for Visual Captioning ACL 2019 VCWE: Visual Character-Enhanced Word Embeddings NAACL 2019 CNN-Based Chinese NER with Lexicon Rethinking IJCAI 2019 Building Personalized Simulator for Interactive Search IJCAI 2019 A Question Type Driven Framework to Diversify Visual Question Generation IJCAI 2018 A Reinforcement Learning Framework for Natural Question Generation using Bi-discriminators COLING 2018 Incorporating Topic Aspects for Online Comment Convincingness Evaluation EMNLP 2018 Transferring from Formal Newswire Domain with Hypernet for Twitter POS Tagging EMNLP 2018 Convolutional Interaction Network for Natural Language Inference EMNLP 2018 Automatic Essay Scoring Incorporating Rating Schema via Reinforcement Learning EMNLP 2018 Toward Diverse Text Generation with Inverse Reinforcement Learning IJCAI 2018 Information Aggregation via Dynamic Routing for Sequence Encoding COLING 2018 Incorporating Argument-Level Interactions for Persuasion Comments Evaluation using Co-attention Model COLING 2018 Task-oriented Dialogue System for Automatic Diagnosis ACL 2018 Cross-Domain Sentiment Classification with Target Domain Specific Information ACL 2018 A Lexicon-Based Supervised Attention Model for Neural Sentiment Analysis COLING 2018 Mention Recommendation for Twitter with End-to-end Memory Network IJCAI 2017 Adversarial Multi-Criteria Learning for Chinese Word Segmentation ACL 2017 Hashtag Recommendation for Multimodal Microblog Using Co-Attention Network IJCAI 2017 A Feature-Enriched Neural Model for Joint Chinese Word Segmentation and Part-of-Speech Tagging IJCAI 2017 Dynamic Compositional Neural Networks over Tree Structure IJCAI 2017 Adaptive Semantic Compositionality for Sentence Modelling IJCAI 2017 A Learning Error Analysis for Structured Prediction with Approximate Inference NIPS 2017 Part-of-Speech Tagging for Twitter with Adversarial Neural Networks EMNLP 2017 Idiom-Aware Compositional Distributed Semantics EMNLP 2017 Knowledge Graph Representation with Jointly Structural and Textual Encoding IJCAI 2017 Adversarial Multi-task Learning for Text Classification ACL 2017 Implicit Discourse Relation Detection via a Deep Architecture with Gated Relevance Network ACL 2016 Modelling Interaction of Sentence Pair with Coupled-LSTMs EMNLP 2016 Cached Long Short-Term Memory Neural Networks for Document-Level Sentiment Classification EMNLP 2016 Keyphrase Extraction Using Deep Recurrent Neural Networks on Twitter EMNLP 2016 Analyzing Linguistic Knowledge in Sequential Model of Sentence EMNLP 2016 Generating Abbreviations for Chinese Named Entities Using Recurrent Neural Network with Dynamic Dictionary EMNLP 2016 Deep Multi-Task Learning with Shared Memory for Text Classification EMNLP 2016 Bridging LSTM Architecture and the Neural Dynamics during Reading IJCAI 2016 Recurrent Neural Network for Text Classification with Multi-Task Learning IJCAI 2016 Attention-Based Convolutional Neural Network for Semantic Relation Extraction COLING 2016 Hashtag Recommendation Using End-To-End Memory Networks with Hierarchical Attention COLING 2016 A New Psychometric-inspired Evaluation Metric for Chinese Word Segmentation ACL 2016 Investigating Language Universal and Specific Properties in Word Embeddings ACL 2016 Deep Fusion LSTMs for Text Semantic Matching ACL 2016 Long Short-Term Memory Neural Networks for Chinese Word Segmentation EMNLP 2015 Transition-based Dependency Parsing Using Two Heterogeneous Gated Recursive Neural Networks EMNLP 2015 Multi-Timescale Long Short-Term Memory Neural Network for Modelling Sentences and Documents EMNLP 2015 Gated Recursive Neural Network for Chinese Word Segmentation ACL 2015 Gated Recursive Neural Network for Chinese Word Segmentation IJCNLP 2015 A Re-ranking Model for Dependency Parser with Recursive Convolutional Neural Network IJCNLP 2015 Sentence Modeling with Gated Recursive Neural Network EMNLP 2015 Convolutional Neural Tensor Network Architecture for Community-Based Question Answering IJCAI 2015 Learning Context-Sensitive Word Embeddings with Neural Tensor Skip-Gram Model IJCAI 2015 A Re-ranking Model for Dependency Parser with Recursive Convolutional Neural Network ACL 2015 Hashtag Recommendation Using Dirichlet Process Mixture Models Incorporating Types of Hashtags EMNLP 2015 A Generative Model for Identifying Target Companies of Microblogs COLING 2014 Time-aware Personalized Hashtag Recommendation on Social Media COLING 2014 Automatic Corpus Expansion for Chinese Word Segmentation by Exploiting the Redundancy of Web Information COLING 2014 Learning Topical Translation Model for Microblog Hashtag Suggestion IJCAI 2013 Latent Semantic Tensor Indexing for Community-based Question Answering ACL 2013 Chinese Named Entity Abbreviation Generation Using First-Order Logic IJCNLP 2013 Joint Chinese Word Segmentation and POS Tagging on Heterogeneous Annotated Corpora with Multiple Task Learning EMNLP 2013 FudanNLP: A Toolkit for Chinese Natural Language Processing ACL 2013 Discourse Level Explanatory Relation Extraction from Product Reviews Using First-Order Logic EMNLP 2013 Understanding the Semantic Intent of Natural Language Query IJCNLP 2013 Detecting Spammers in Community Question Answering IJCNLP 2013 Joint Segmentation and Tagging with Coupled Sequences Labeling COLING 2012 Automatic Hashtag Recommendation for Microblogs using Topic-Specific Translation Model COLING 2012 Part-of-Speech Tagging for Chinese-English Mixed Texts with Dynamic Features CONLL 2012 Part-of-Speech Tagging for Chinese-English Mixed Texts with Dynamic Features EMNLP 2012 Efficient Near-Duplicate Detection for Q&A Forum IJCNLP 2011 Keyphrase Extraction from Online News Using Binary Integer Programming IJCNLP 2011 A Fast Accurate Two-stage Training Algorithm for L1-regularized CRFs with Heuristic Line Search Strategy IJCNLP 2011 Structural Opinion Mining for Graph-based Sentiment Representation EMNLP 2011 Hierarchical Text Classification with Latent Concepts ACL 2011 2D Trie for Fast Parsing COLING 2010 Joint Training and Decoding Using Virtual Nodes for Cascaded Segmentation and Tagging Tasks EMNLP 2010 Detecting Hedge Cues and their Scopes with Average Perceptron CONLL 2010 Hierarchical Multi-Label Text Categorization with Global Margin Maximization ACL 2009 Hierarchical Multi-Label Text Categorization with Global Margin Maximization IJCNLP 2009 Phrase Dependency Parsing for Opinion Mining EMNLP 2009 Answering Definition Questions Using Web Knowledge Bases IJCNLP 2005 The Use of Metadata, Web-derived Answer Patterns and Passage Context to Improve Reading Comprehension Performance EMNLP 2005