Xuanjing Huang

327 papers · 2005–2026 · 14 conferences · across top CS/AI conferences

Achievements

🗺️ Taxonomy Completionist (38) 🧭 Keyword Pioneer 🌍 Conference Polyglot (14) 🐝 Cross-Pollinator (12) 🐣 Hot Topic Early Bird 🏃 Academic Marathon (20) 🌈 Renaissance Researcher (5) 🌉 Interdisciplinary Bridge 🏠 Conference Loyalist (95) 🌟 Keyword Trendsetter Combo (7) 🤝 Dynamic Duo (155) 👑 Triple Crown 🔬 Deep Specialist (11) 🏆 Keyword Champion (2) 🏆 Grand Slam 👥 Mega-Team (34) 🌱 Topic Pioneer 🧬 Topic Evolution 🚀 Conference Pioneer 🔥 Unstoppable (17) ❓ The Questioner (7) 💎 Century Club (325) 🗃️ Keyword Collector (130) ⚡ Prolific Year (51) 📈 Trend Setter

Conferences

EMNLP (98) ACL (95) COLING (41) IJCNLP (24) IJCAI (18) AAAI (17) NAACL (14) ICML (6) NIPS (6) ICLR (3) CONLL (2) AISTATS (1) CVPR (1) ICCV (1)

Top co-authors

Qi Zhang (156) Xipeng Qiu (96) Tao Gui (91) zhongyu wei (65) Xiaoqing Zheng (33) Rui Zheng (32) Zhiheng Xi (32) Pengfei Liu (23) Shihan Dou (23) Siyuan Wang (18)

Research topics

Privacy (3) Applications (1)

Keywords

large language model (65) named entity recognition (17) neural network (17) reinforcement learning (16) transfer learning (15) representation learning (14) language model (14) text classification (14) graph neural network (13) pre-trained language model (12) adversarial training (11) sequence labeling (10) instruction tuning (10) few-shot learning (10) model compression (10) text generation (10) contrastive learning (9) knowledge graph (9) reinforcement learning from human feedback (8) attention mechanism (8)

Papers

MetaAct-RL: Training Language Models for Reasoning Through Meta-Action-Based Reinforcement Learning AAAI 2026

Explainable Synthetic Image Detection Through Diffusion Timestep Ensembling AAAI 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

EvoWiki: Evaluating LLMs on Evolving Knowledge ACL 2025

SATER: A Self-Aware and Token-Efficient Approach to Routing and Cascading EMNLP 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

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

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

Mitigating Tail Narrowing in LLM Self-Improvement via Socratic-Guided Sampling NAACL 2025

Safe Inputs but Unsafe Output: Benchmarking Cross-modality Safety Alignment of Large Vision-Language Models NAACL 2025

Synergistic Multi-Agent Framework with Trajectory Learning for Knowledge-Intensive Tasks AAAI 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

COSEE: Consistency-Oriented Signal-Based Early Exiting via Calibrated Sample Weighting Mechanism AAAI 2025

EcoLANG: Efficient and Effective Agent Communication Language Induction for Social Simulation EMNLP 2025

SPA-VL: A Comprehensive Safety Preference Alignment Dataset for Vision Language Models CVPR 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

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

SFMSS: Service Flow aware Medical Scenario Simulation for Conversational Data Generation NAACL 2025

Multi-Agent Simulator Drives Language Models for Legal Intensive Interaction NAACL 2025

Have the VLMs Lost Confidence? A Study of Sycophancy in VLMs ICLR 2025

RMB: Comprehensively benchmarking reward models in LLM alignment ICLR 2025

Dendritic Localized Learning: Toward Biologically Plausible Algorithm ICML 2025

Alleviating Shifted Distribution in Human Preference Alignment through Meta-Learning AAAI 2025

Analyzing the Effects of Supervised Fine-Tuning on Model Knowledge from Token and Parameter Levels EMNLP 2025

Prior-Fitted Networks Scale to Larger Datasets When Treated as Weak Learners AISTATS 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

HAF-RM: A Hybrid Alignment Framework for Reward Model Training ACL 2025

AgentGym: Evaluating and Training Large Language Model-based Agents across Diverse Environments ACL 2025

Measuring Data Diversity for Instruction Tuning: A Systematic Analysis and A Reliable Metric ACL 2025

Inverse-Q*: Token Level Reinforcement Learning for Aligning Large Language Models Without Preference Data EMNLP 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

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

Training Large Language Models for Reasoning through Reverse Curriculum Reinforcement Learning ICML 2024

Efficient and Effective Time-Series Forecasting with Spiking Neural Networks ICML 2024

Improving Generalization of Alignment with Human Preferences through Group Invariant Learning ICLR 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

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

Promoting Data and Model Privacy in Federated Learning through Quantized LoRA EMNLP 2024

Inference-Time Decontamination: Reusing Leaked Benchmarks for Large Language Model Evaluation EMNLP 2024

LongHeads: Multi-Head Attention is Secretly a Long Context Processor EMNLP 2024

Reward Modeling Requires Automatic Adjustment Based on Data Quality EMNLP 2024

Unveiling and Consulting Core Experts in Retrieval-Augmented MoE-based LLMs EMNLP 2024

Searching for Best Practices in Retrieval-Augmented Generation EMNLP 2024

Explicit Memory Learning with Expectation Maximization EMNLP 2024

Exploring the Compositional Deficiency of Large Language Models in Mathematical Reasoning Through Trap Problems EMNLP 2024

LONGAGENT: Achieving Question Answering for 128k-Token-Long Documents through Multi-Agent Collaboration 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

Enhancing Unsupervised Semantic Parsing with Distributed Contextual Representations ACL 2023

Exchange-of-Thought: Enhancing Large Language Model Capabilities through Cross-Model Communication EMNLP 2023

Hallucination Detection for Generative Large Language Models by Bayesian Sequential Estimation EMNLP 2023

Self-Polish: Enhance Reasoning in Large Language Models via Problem Refinement EMNLP 2023

Are Structural Concepts Universal in Transformer Language Models? Towards Interpretable Cross-Lingual Generalization EMNLP 2023

Detecting Adversarial Samples through Sharpness of Loss Landscape ACL 2023

KNSE: A Knowledge-aware Natural Language Inference Framework for Dialogue Symptom Status Recognition ACL 2023

Do Large Language Models Know What They Don’t Know? ACL 2023

TextObfuscator: Making Pre-trained Language Model a Privacy Protector via Obfuscating Word Representations ACL 2023

Characterizing the Impacts of Instances on Robustness ACL 2023

A Confidence-based Partial Label Learning Model for Crowd-Annotated Named Entity Recognition ACL 2023

Modeling the Q-Diversity in a Min-max Play Game for Robust Optimization ACL 2023

CodeIE: Large Code Generation Models are Better Few-Shot Information Extractors ACL 2023

UPPAM: A Unified Pre-training Architecture for Political Actor Modeling based on Language ACL 2023

Multitask Pre-training of Modular Prompt for Chinese Few-Shot Learning ACL 2023

Argue with Me Tersely: Towards Sentence-Level Counter-Argument Generation EMNLP 2023

On the Universal Adversarial Perturbations for Efficient Data-free Adversarial Detection ACL 2023

Connectivity Patterns are Task Embeddings ACL 2023

One-Model-Connects-All: A Unified Graph Pre-Training Model for Online Community Modeling EMNLP 2023

TableVLM: Multi-modal Pre-training for Table Structure Recognition ACL 2023

UTC-IE: A Unified Token-pair Classification Architecture for Information Extraction ACL 2023

DiffusionBERT: Improving Generative Masked Language Models with Diffusion Models ACL 2023

Query Structure Modeling for Inductive Logical Reasoning Over Knowledge Graphs ACL 2023

Unifying Cross-Lingual and Cross-Modal Modeling Towards Weakly Supervised Multilingual Vision-Language Pre-training ACL 2023

Open Set Relation Extraction via Unknown-Aware Training ACL 2023

RethinkingTMSC: An Empirical Study for Target-Oriented Multimodal Sentiment Classification EMNLP 2023

Loose lips sink ships: Mitigating Length Bias in Reinforcement Learning from Human Feedback EMNLP 2023

Watermarking PLMs on Classification Tasks by Combining Contrastive Learning with Weight Perturbation EMNLP 2023

TextMixer: Mixing Multiple Inputs for Privacy-Preserving Inference EMNLP 2023

Inductive Relation Inference of Knowledge Graph Enhanced by Ontology Information 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

Orthogonal Subspace Learning for Language Model Continual Learning EMNLP 2023

Towards Building More Robust NER datasets: An Empirical Study on NER Dataset Bias from a Dataset Difficulty View EMNLP 2023

Hi-ArG: Exploring the Integration of Hierarchical Argumentation Graphs in Language Pretraining EMNLP 2023

From Hypergraph Energy Functions to Hypergraph Neural Networks ICML 2023

BBTv2: Towards a Gradient-Free Future with Large Language Models EMNLP 2022

Weight Perturbation as Defense against Adversarial Word Substitutions EMNLP 2022

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

Black-Box Tuning for Language-Model-as-a-Service ICML 2022

BERTScore is Unfair: On Social Bias in Language Model-Based Metrics for Text Generation EMNLP 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

LFKQG: A Controlled Generation Framework with Local Fine-tuning for Question Generation over Knowledge Bases 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

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

ProofInfer: Generating Proof via Iterative Hierarchical Inference EMNLP 2022

Late Prompt Tuning: A Late Prompt Could Be Better Than Many Prompts 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

An Unsupervised Sampling Approach for Image-Sentence Matching Using Document-level Structural Information AAAI 2021

Enhancing Scientific Papers Summarization with Citation Graph AAAI 2021

Attending via both Fine-tuning and Compressing ACL 2021

Exploration and Exploitation: Two Ways to Improve Chinese Spelling Correction Models IJCNLP 2021

SpanNER: Named Entity Re-/Recognition as Span Prediction IJCNLP 2021

SENT: Sentence-level Distant Relation Extraction via Negative Training IJCNLP 2021

Math Word Problem Solving with Explicit Numerical Values IJCNLP 2021

Defense against Synonym Substitution-based Adversarial Attacks via Dirichlet Neighborhood Ensemble IJCNLP 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

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

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

Unsupervised Summarization for Chat Logs with Topic-Oriented Ranking and Context-Aware Auto-Encoders AAAI 2021

K-Adapter: Infusing Knowledge into Pre-Trained Models with Adapters 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

Discrete Argument Representation Learning for Interactive Argument Pair Identification NAACL 2021

Mask Attention Networks: Rethinking and Strengthen Transformer NAACL 2021

Larger-Context Tagging: When and Why Does It Work? NAACL 2021

Attending via both Fine-tuning and Compressing IJCNLP 2021

K-Adapter: Infusing Knowledge into Pre-Trained Models with Adapters IJCNLP 2021

TextFlint: Unified Multilingual Robustness Evaluation Toolkit for Natural Language Processing IJCNLP 2021

fastHan: A BERT-based Multi-Task Toolkit for Chinese NLP IJCNLP 2021

Topic-Oriented Spoken Dialogue Summarization for Customer Service with Saliency-Aware Topic Modeling AAAI 2021

Simplify the Usage of Lexicon in Chinese NER 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

Extractive Summarization as Text Matching ACL 2020

Heterogeneous Graph Neural Networks for Extractive Document Summarization 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

Asynchronous Deep Interaction Network for Natural Language Inference EMNLP 2019

CNN-Based Chinese NER with Lexicon Rethinking IJCAI 2019

Building Personalized Simulator for Interactive Search IJCAI 2019

A Lexicon-Based Graph Neural Network for Chinese NER EMNLP 2019

GlossBERT: BERT for Word Sense Disambiguation with Gloss Knowledge 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

VCWE: Visual Character-Enhanced Word Embeddings NAACL 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

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

Trainable Undersampling for Class-Imbalance Learning AAAI 2019

Learning Task-Specific Representation for Novel Words in Sequence Labeling IJCAI 2019

A Lexicon-Based Supervised Attention Model for Neural Sentiment Analysis COLING 2018

Cross-Domain Sentiment Classification with Target Domain Specific Information ACL 2018

Task-oriented Dialogue System for Automatic Diagnosis ACL 2018

A Question Type Driven Framework to Diversify Visual Question Generation IJCAI 2018

Toward Diverse Text Generation with Inverse Reinforcement Learning IJCAI 2018

Automatic Essay Scoring Incorporating Rating Schema via Reinforcement Learning EMNLP 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

Incorporating Argument-Level Interactions for Persuasion Comments Evaluation using Co-attention Model COLING 2018

Information Aggregation via Dynamic Routing for Sequence Encoding COLING 2018

A Reinforcement Learning Framework for Natural Question Generation using Bi-discriminators COLING 2018

Adversarial Multi-Criteria Learning for Chinese Word Segmentation ACL 2017

Part-of-Speech Tagging for Twitter with Adversarial Neural Networks EMNLP 2017

A Learning Error Analysis for Structured Prediction with Approximate Inference NIPS 2017

Mention Recommendation for Twitter with End-to-end Memory Network IJCAI 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

Adversarial Multi-task Learning for Text Classification ACL 2017

Knowledge Graph Representation with Jointly Structural and Textual Encoding IJCAI 2017

Idiom-Aware Compositional Distributed Semantics EMNLP 2017

Analyzing Linguistic Knowledge in Sequential Model of Sentence EMNLP 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

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

Attention-Based Convolutional Neural Network for Semantic Relation Extraction COLING 2016

Hashtag Recommendation Using End-To-End Memory Networks with Hierarchical Attention COLING 2016

Bridging LSTM Architecture and the Neural Dynamics during Reading IJCAI 2016

Recurrent Neural Network for Text Classification with Multi-Task Learning IJCAI 2016

A New Psychometric-inspired Evaluation Metric for Chinese Word Segmentation ACL 2016

Implicit Discourse Relation Detection via a Deep Architecture with Gated Relevance Network 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

A Re-ranking Model for Dependency Parser with Recursive Convolutional Neural Network IJCNLP 2015

Gated Recursive Neural Network for Chinese Word Segmentation IJCNLP 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

Convolutional Neural Tensor Network Architecture for Community-Based Question Answering IJCAI 2015

Hashtag Recommendation Using Dirichlet Process Mixture Models Incorporating Types of Hashtags EMNLP 2015

Sentence Modeling with Gated Recursive Neural Network EMNLP 2015

A Generative Model for Identifying Target Companies of Microblogs COLING 2014

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

Time-aware Personalized Hashtag Recommendation on Social Media COLING 2014

Latent Semantic Tensor Indexing for Community-based Question Answering ACL 2013

FudanNLP: A Toolkit for Chinese Natural Language Processing ACL 2013

Understanding the Semantic Intent of Natural Language Query IJCNLP 2013

Joint Chinese Word Segmentation and POS Tagging on Heterogeneous Annotated Corpora with Multiple Task Learning EMNLP 2013

Discourse Level Explanatory Relation Extraction from Product Reviews Using First-Order Logic EMNLP 2013

Learning Topical Translation Model for Microblog Hashtag Suggestion IJCAI 2013

Detecting Spammers in Community Question Answering IJCNLP 2013

Chinese Named Entity Abbreviation Generation Using First-Order Logic IJCNLP 2013

Part-of-Speech Tagging for Chinese-English Mixed Texts with Dynamic Features CONLL 2012

Joint Segmentation and Tagging with Coupled Sequences Labeling COLING 2012

Part-of-Speech Tagging for Chinese-English Mixed Texts with Dynamic Features EMNLP 2012

Automatic Hashtag Recommendation for Microblogs using Topic-Specific Translation Model COLING 2012

Hierarchical Text Classification with Latent Concepts ACL 2011

Efficient Near-Duplicate Detection for Q&A Forum 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

Keyphrase Extraction from Online News Using Binary Integer Programming IJCNLP 2011

Detecting Hedge Cues and their Scopes with Average Perceptron CONLL 2010

2D Trie for Fast Parsing COLING 2010

Joint Training and Decoding Using Virtual Nodes for Cascaded Segmentation and Tagging Tasks EMNLP 2010

Hierarchical Multi-Label Text Categorization with Global Margin Maximization IJCNLP 2009

Phrase Dependency Parsing for Opinion Mining EMNLP 2009

Hierarchical Multi-Label Text Categorization with Global Margin Maximization ACL 2009

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

Answering Definition Questions Using Web Knowledge Bases IJCNLP 2005