Zhiyuan Liu

331 papers · 2009–2026 · 16 conferences · across top CS/AI conferences

Achievements

🧭 Keyword Pioneer 🐣 Hot Topic Early Bird 🌍 Conference Polyglot (15) 🗺️ Taxonomy Completionist (33) 🐝 Cross-Pollinator (10) 🏃 Academic Marathon (16) 🌈 Renaissance Researcher (9) 🌉 Interdisciplinary Bridge 🌟 Keyword Trendsetter Combo (5) 🏠 Conference Loyalist (21) 🤝 Dynamic Duo (222) 👑 Triple Crown 🏆 Grand Slam 👥 Mega-Team (35) 🌱 Topic Pioneer 🔬 Deep Specialist (42) 🧬 Topic Evolution 🏆 Keyword Champion (21) ❓ The Questioner (7) 💎 Century Club (327) 🗃️ Keyword Collector (97) ⚡ Prolific Year (35) 📈 Trend Setter 🚀 Conference Pioneer 🔥 Unstoppable (12)

Conferences

ACL (114) EMNLP (81) IJCNLP (21) ICLR (20) AAAI (18) COLING (17) NIPS (14) IJCAI (13) NAACL (13) ICML (6) CVPR (5) AACL (3) ECCV (3) CONLL (1) EACL (1) ICCV (1)

Top co-authors

Maosong Sun (222) Xu Han (92) Yankai Lin (70) Jie Zhou (51) Juanzi Li (38) Peng Li (33) Yuan Yao (33) Ning Ding (33) Zhenghao Liu (32) Ruobing Xie (31)

Research topics

Linguistics (2) Education (2) Science (1) Privacy (1) Digital Humanities (1)

Keywords

large language model (45) neural network (27) pre-trained language model (25) few-shot learning (21) transfer learning (20) relation extraction (18) language model (18) knowledge base (18) knowledge graph (16) graph neural network (13) distant supervision (13) model compression (13) contrastive learning (12) text classification (12) natural language processing (11) named entity recognition (11) question answering (11) information retrieval (11) attention mechanism (10) representation learning (10)

Papers

ThinkNote: Enhancing Knowledge Integration and Utilization of Large Language Models via Constructivist Cognition Modeling EACL 2026

LexChain: Modeling Legal Reasoning Chains for Chinese Tort Case Analysis AAAI 2026

KNNDA: A New Perspective of Alignment Recovery for Partially View-Aligned Clustering AAAI 2026

FANoise: Singular Value-Adaptive Noise Modulation for Robust Multimodal Representation Learning AAAI 2026

Learning to Generate Structured Output with Schema Reinforcement Learning ACL 2025

FR-Spec: Accelerating Large-Vocabulary Language Models via Frequency-Ranked Speculative Sampling ACL 2025

Fusing Highly Specialized Language Models for Comprehensive Expertise ACL 2025

AutoClean: LLMs Can Prepare Their Training Corpus NAACL 2025

MALoRA: Mixture of Asymmetric Low-Rank Adaptation for Enhanced Multi-Task Learning NAACL 2025

COAST: Enhancing the Code Debugging Ability of LLMs through Communicative Agent Based Data Synthesis NAACL 2025

Simulating Classroom Education with LLM-Empowered Agents NAACL 2025

Seq1F1B: Efficient Sequence-Level Pipeline Parallelism for Large Language Model Training NAACL 2025

Free Process Rewards without Process Labels ICML 2025

Sparsing Law: Towards Large Language Models with Greater Activation Sparsity ICML 2025

Scaling Large Language Model-based Multi-Agent Collaboration ICLR 2025

WorkflowLLM: Enhancing Workflow Orchestration Capability of Large Language Models ICLR 2025

RAG-DDR: Optimizing Retrieval-Augmented Generation Using Differentiable Data Rewards ICLR 2025

Proactive Agent: Shifting LLM Agents from Reactive Responses to Active Assistance ICLR 2025

Rational Decision-Making Agent with Learning Internal Utility Judgment ICLR 2025

VisRAG: Vision-based Retrieval-augmented Generation on Multi-modality Documents ICLR 2025

NExT-Mol: 3D Diffusion Meets 1D Language Modeling for 3D Molecule Generation ICLR 2025

Advancing LLM Reasoning Generalists with Preference Trees ICLR 2025

Internet of Agents: Weaving a Web of Heterogeneous Agents for Collaborative Intelligence ICLR 2025

A Multi-Power Law for Loss Curve Prediction Across Learning Rate Schedules ICLR 2025

Graph Coarsening via Supervised Granular-Ball for Scalable Graph Neural Network Training AAAI 2025

DeepNote: Note-Centric Deep Retrieval-Augmented Generation EMNLP 2025

ClueAnchor: Clue-Anchored Knowledge Reasoning Exploration and Optimization for Retrieval-Augmented Generation EMNLP 2025

KBAlign: Efficient Self Adaptation on Specific Textual Knowledge Bases EMNLP 2025

PersLLM: A Personified Training Approach for Large Language Models EMNLP 2025

LLM×MapReduce-V3: Enabling Interactive In-Depth Survey Generation through a MCP-Driven Hierarchically Modular Agent System EMNLP 2025

AgentCPM-GUI: Building Mobile-Use Agents with Reinforcement Fine-Tuning EMNLP 2025

On LLM-Based Scientific Inductive Reasoning Beyond Equations EMNLP 2025

Cost-Optimal Grouped-Query Attention for Long-Context Modeling EMNLP 2025

RLAIF-V: Open-Source AI Feedback Leads to Super GPT-4V Trustworthiness CVPR 2025

XLRS-Bench: Could Your Multimodal LLMs Understand Extremely Large Ultra-High-Resolution Remote Sensing Imagery? CVPR 2025

Dataset Distillation with Neural Characteristic Function: A Minmax Perspective CVPR 2025

Multi-Modal Multi-Granularity Tokenizer for Chu Bamboo Slips COLING 2025

ProSparse: Introducing and Enhancing Intrinsic Activation Sparsity within Large Language Models COLING 2025

TritonBench: Benchmarking Large Language Model Capabilities for Generating Triton Operators ACL 2025

Craw4LLM: Efficient Web Crawling for LLM Pretraining ACL 2025

Optima: Optimizing Effectiveness and Efficiency for LLM-Based Multi-Agent System ACL 2025

Migician: Revealing the Magic of Free-Form Multi-Image Grounding in Multimodal Large Language Models ACL 2025

Judge as A Judge: Improving the Evaluation of Retrieval-Augmented Generation through the Judge-Consistency of Large Language Models ACL 2025

The Right Time Matters: Data Arrangement Affects Zero-Shot Generalization in Instruction Tuning ACL 2025

LLM×MapReduce: Simplified Long-Sequence Processing using Large Language Models ACL 2025

GUICourse: From General Vision Language Model to Versatile GUI Agent ACL 2025

Enhancing Open-Domain Task-Solving Capability of LLMs via Autonomous Tool Integration from GitHub ACL 2025

AgentRM: Enhancing Agent Generalization with Reward Modeling ACL 2025

APB: Accelerating Distributed Long-Context Inference by Passing Compressed Context Blocks across GPUs ACL 2025

RAGEval: Scenario Specific RAG Evaluation Dataset Generation Framework ACL 2025

ChartCoder: Advancing Multimodal Large Language Model for Chart-to-Code Generation ACL 2025

MolTC: Towards Molecular Relational Modeling In Language Models ACL 2024

UltraMedical: Building Specialized Generalists in Biomedicine NIPS 2024

Delta-CoMe: Training-Free Delta-Compression with Mixed-Precision for Large Language Models NIPS 2024

OneBit: Towards Extremely Low-bit Large Language Models NIPS 2024

ENAT: Rethinking Spatial-temporal Interactions in Token-based Image Synthesis NIPS 2024

InfLLM: Training-Free Long-Context Extrapolation for LLMs with an Efficient Context Memory NIPS 2024

Can Large Language Models Analyze Graphs like Professionals? A Benchmark, Datasets and Models NIPS 2024

Tell Me More! Towards Implicit User Intention Understanding of Language Model Driven Agents ACL 2024

OlympiadBench: A Challenging Benchmark for Promoting AGI with Olympiad-Level Bilingual Multimodal Scientific Problems ACL 2024

MAVEN-ARG: Completing the Puzzle of All-in-One Event Understanding Dataset with Event Argument Annotation ACL 2024

Experiential Co-Learning of Software-Developing Agents ACL 2024

ProtT3: Protein-to-Text Generation for Text-based Protein Understanding ACL 2024

UltraLink: An Open-Source Knowledge-Enhanced Multilingual Supervised Fine-tuning Dataset ACL 2024

LoRA-Flow: Dynamic LoRA Fusion for Large Language Models in Generative Tasks ACL 2024

MARVEL: Unlocking the Multi-Modal Capability of Dense Retrieval via Visual Module Plugin ACL 2024

ChatDev: Communicative Agents for Software Development ACL 2024

∞Bench: Extending Long Context Evaluation Beyond 100K Tokens ACL 2024

Cleaner Pretraining Corpus Curation with Neural Web Scraping ACL 2024

UltraEval: A Lightweight Platform for Flexible and Comprehensive Evaluation for LLMs ACL 2024

LEGENT: Open Platform for Embodied Agents ACL 2024

INTERVENOR: Prompting the Coding Ability of Large Language Models with the Interactive Chain of Repair ACL 2024

DebugBench: Evaluating Debugging Capability of Large Language Models ACL 2024

ReactXT: Understanding Molecular “Reaction-ship” via Reaction-Contextualized Molecule-Text Pretraining ACL 2024

StableToolBench: Towards Stable Large-Scale Benchmarking on Tool Learning of Large Language Models ACL 2024

MatPlotAgent: Method and Evaluation for LLM-Based Agentic Scientific Data Visualization ACL 2024

Fine-Grained Legal Argument-Pair Extraction via Coarse-Grained Pre-training COLING 2024

Fusion-in-T5: Unifying Variant Signals for Simple and Effective Document Ranking with Attention Fusion COLING 2024

Robust and Scalable Model Editing for Large Language Models COLING 2024

Revisiting Non-Autoregressive Transformers for Efficient Image Synthesis CVPR 2024

RLHF-V: Towards Trustworthy MLLMs via Behavior Alignment from Fine-grained Correctional Human Feedback CVPR 2024

AdaNAT: Exploring Adaptive Policy for Token-Based Image Generation ECCV 2024

LLaVA-UHD: an LMM Perceiving any Aspect Ratio and High-Resolution Images ECCV 2024

DecorateLM: Data Engineering through Corpus Rating, Tagging, and Editing with Language Models EMNLP 2024

Controllable Preference Optimization: Toward Controllable Multi-Objective Alignment EMNLP 2024

Enhancing Legal Case Retrieval via Scaling High-quality Synthetic Query-Candidate Pairs EMNLP 2024

Beyond the Turn-Based Game: Enabling Real-Time Conversations with Duplex Models EMNLP 2024

Ouroboros: Generating Longer Drafts Phrase by Phrase for Faster Speculative Decoding EMNLP 2024

RepoAgent: An LLM-Powered Open-Source Framework for Repository-level Code Documentation Generation EMNLP 2024

LM-Interview: An Easy-to-use Smart Interviewer System via Knowledge-guided Language Model Exploitation EMNLP 2024

Large Language Model-based Human-Agent Collaboration for Complex Task Solving EMNLP 2024

PRESTO: Progressive Pretraining Enhances Synthetic Chemistry Outcomes EMNLP 2024

Beyond Natural Language: LLMs Leveraging Alternative Formats for Enhanced Reasoning and Communication EMNLP 2024

KoLA: Carefully Benchmarking World Knowledge of Large Language Models ICLR 2024

Towards 3D Molecule-Text Interpretation in Language Models ICLR 2024

Large Multilingual Models Pivot Zero-Shot Multimodal Learning across Languages ICLR 2024

ChatEval: Towards Better LLM-based Evaluators through Multi-Agent Debate ICLR 2024

Predicting Emergent Abilities with Infinite Resolution Evaluation ICLR 2024

ToolLLM: Facilitating Large Language Models to Master 16000+ Real-world APIs ICLR 2024

AgentVerse: Facilitating Multi-Agent Collaboration and Exploring Emergent Behaviors ICLR 2024

ULTRAFEEDBACK: Boosting Language Models with Scaled AI Feedback ICML 2024

Exploring the Benefit of Activation Sparsity in Pre-training ICML 2024

NExT-Chat: An LMM for Chat, Detection and Segmentation ICML 2024

Toolink: Linking Toolkit Creation and Using through Chain-of-Solving on Open-Source Model NAACL 2024

A Close Look into the Calibration of Pre-trained Language Models ACL 2023

OpenDelta: A Plug-and-play Library for Parameter-efficient Adaptation of Pre-trained Models ACL 2023

Parameter-efficient Weight Ensembling Facilitates Task-level Knowledge Transfer ACL 2023

Plug-and-Play Document Modules for Pre-trained Models ACL 2023

Exploring Lottery Prompts for Pre-trained Language Models ACL 2023

Decoder Tuning: Efficient Language Understanding as Decoding ACL 2023

Plug-and-Play Knowledge Injection for Pre-trained Language Models ACL 2023

WebCPM: Interactive Web Search for Chinese Long-form Question Answering ACL 2023

Automatic Truss Design with Reinforcement Learning IJCAI 2023

READIN: A Chinese Multi-Task Benchmark with Realistic and Diverse Input Noises ACL 2023

Won’t Get Fooled Again: Answering Questions with False Premises ACL 2023

Augmentation-Adapted Retriever Improves Generalization of Language Models as Generic Plug-In ACL 2023

VPGTrans: Transfer Visual Prompt Generator across LLMs NIPS 2023

Visually Grounded Commonsense Knowledge Acquisition AAAI 2023

Rethinking Tokenizer and Decoder in Masked Graph Modeling for Molecules NIPS 2023

H3T: Efficient Integration of Memory Optimization and Parallelism for Large-scale Transformer Training NIPS 2023

Revisiting Out-of-distribution Robustness in NLP: Benchmarks, Analysis, and LLMs Evaluations NIPS 2023

Universal Vision-Language Dense Retrieval: Learning A Unified Representation Space for Multi-Modal Retrieval ICLR 2023

GLM-130B: An Open Bilingual Pre-trained Model ICLR 2023

Emergent Modularity in Pre-trained Transformers ACL 2023

The Devil is in the Details: On the Pitfalls of Event Extraction Evaluation ACL 2023

Few-shot Classification with Hypersphere Modeling of Prototypes ACL 2023

Boosting Inference Efficiency: Unleashing the Power of Parameter-Shared Pre-trained Language Models EMNLP 2023

From Adversarial Arms Race to Model-centric Evaluation: Motivating a Unified Automatic Robustness Evaluation Framework ACL 2023

Stochastic Bridges as Effective Regularizers for Parameter-Efficient Tuning ACL 2023

Variator: Accelerating Pre-trained Models with Plug-and-Play Compression Modules EMNLP 2023

CREATOR: Tool Creation for Disentangling Abstract and Concrete Reasoning of Large Language Models EMNLP 2023

ReLM: Leveraging Language Models for Enhanced Chemical Reaction Prediction EMNLP 2023

Recyclable Tuning for Continual Pre-training ACL 2023

Structure-Aware Language Model Pretraining Improves Dense Retrieval on Structured Data ACL 2023

MolCA: Molecular Graph-Language Modeling with Cross-Modal Projector and Uni-Modal Adapter EMNLP 2023

Exploring the Impact of Model Scaling on Parameter-Efficient Tuning EMNLP 2023

Beat LLMs at Their Own Game: Zero-Shot LLM-Generated Text Detection via Querying ChatGPT EMNLP 2023

Sparse Low-rank Adaptation of Pre-trained Language Models EMNLP 2023

Enhancing Chat Language Models by Scaling High-quality Instructional Conversations EMNLP 2023

Knowledgeable Prompt-tuning: Incorporating Knowledge into Prompt Verbalizer for Text Classification ACL 2022

bert2BERT: Towards Reusable Pretrained Language Models ACL 2022

QuoteR: A Benchmark of Quote Recommendation for Writing ACL 2022

A Unified Evaluation of Textual Backdoor Learning: Frameworks and Benchmarks NIPS 2022

Sparse Structure Search for Delta Tuning NIPS 2022

Fine-Grained Scene Graph Generation with Data Transfer ECCV 2022

GACT: Activation Compressed Training for Generic Network Architectures ICML 2022

Video as Conditional Graph Hierarchy for Multi-Granular Question Answering AAAI 2022

On Transferability of Prompt Tuning for Natural Language Processing NAACL 2022

Knowledge Inheritance for Pre-trained Language Models NAACL 2022

PEVL: Position-enhanced Pre-training and Prompt Tuning for Vision-language Models EMNLP 2022

Exploring Mode Connectivity for Pre-trained Language Models EMNLP 2022

Reduce Catastrophic Forgetting of Dense Retrieval Training with Teleportation Negatives EMNLP 2022

Dimension Reduction for Efficient Dense Retrieval via Conditional Autoencoder EMNLP 2022

COPEN: Probing Conceptual Knowledge in Pre-trained Language Models EMNLP 2022

MAVEN-ERE: A Unified Large-scale Dataset for Event Coreference, Temporal, Causal, and Subevent Relation Extraction EMNLP 2022

Textual Backdoor Attacks Can Be More Harmful via Two Simple Tricks EMNLP 2022

Prompt-learning for Fine-grained Entity Typing EMNLP 2022

Moderate-fitting as a Natural Backdoor Defender for Pre-trained Language Models NIPS 2022

Exploring the Universal Vulnerability of Prompt-based Learning Paradigm NAACL 2022

FPT: Improving Prompt Tuning Efficiency via Progressive Training EMNLP 2022

Different Tunes Played with Equal Skill: Exploring a Unified Optimization Subspace for Parameter-Efficient Tuning EMNLP 2022

ProQA: Structural Prompt-based Pre-training for Unified Question Answering NAACL 2022

Automatic Label Sequence Generation for Prompting Sequence-to-sequence Models COLING 2022

LEGO-ABSA: A Prompt-based Task Assemblable Unified Generative Framework for Multi-task Aspect-based Sentiment Analysis COLING 2022

BMCook: A Task-agnostic Compression Toolkit for Big Models EMNLP 2022

Why Should Adversarial Perturbations be Imperceptible? Rethink the Research Paradigm in Adversarial NLP EMNLP 2022

Finding Skill Neurons in Pre-trained Transformer-based Language Models EMNLP 2022

Do Pre-trained Models Benefit Knowledge Graph Completion? A Reliable Evaluation and a Reasonable Approach ACL 2022

Prompt Tuning for Discriminative Pre-trained Language Models ACL 2022

ELLE: Efficient Lifelong Pre-training for Emerging Data ACL 2022

MoEfication: Transformer Feed-forward Layers are Mixtures of Experts ACL 2022

LEVEN: A Large-Scale Chinese Legal Event Detection Dataset ACL 2022

Sememe Prediction for BabelNet Synsets using Multilingual and Multimodal Information ACL 2022

Going “Deeper”: Structured Sememe Prediction via Transformer with Tree Attention ACL 2022

BMInf: An Efficient Toolkit for Big Model Inference and Tuning ACL 2022

OpenPrompt: An Open-source Framework for Prompt-learning ACL 2022

A Simple but Effective Pluggable Entity Lookup Table for Pre-trained Language Models ACL 2022

PPT: Pre-trained Prompt Tuning for Few-shot Learning ACL 2022

Program Transfer for Answering Complex Questions over Knowledge Bases ACL 2022

Prototypical Verbalizer for Prompt-based Few-shot Tuning ACL 2022

Fully Hyperbolic Neural Networks ACL 2022

Pass off Fish Eyes for Pearls: Attacking Model Selection of Pre-trained Models ACL 2022

Cross-Lingual Contrastive Learning for Fine-Grained Entity Typing for Low-Resource Languages ACL 2022

ERICA: Improving Entity and Relation Understanding for Pre-trained Language Models via Contrastive Learning IJCNLP 2021

Hidden Killer: Invisible Textual Backdoor Attacks with Syntactic Trigger IJCNLP 2021

Few-NERD: A Few-shot Named Entity Recognition Dataset IJCNLP 2021

Turn the Combination Lock: Learnable Textual Backdoor Attacks via Word Substitution IJCNLP 2021

Few-Shot Text Ranking with Meta Adapted Synthetic Weak Supervision IJCNLP 2021

CLEVE: Contrastive Pre-training for Event Extraction IJCNLP 2021

OpenAttack: An Open-source Textual Adversarial Attack Toolkit IJCNLP 2021

CodRED: A Cross-Document Relation Extraction Dataset for Acquiring Knowledge in the Wild EMNLP 2021

Mind the Style of Text! Adversarial and Backdoor Attacks Based on Text Style Transfer EMNLP 2021

Is Multi-Hop Reasoning Really Explainable? Towards Benchmarking Reasoning Interpretability EMNLP 2021

ONION: A Simple and Effective Defense Against Textual Backdoor Attacks EMNLP 2021

TIAGE: A Benchmark for Topic-Shift Aware Dialog Modeling EMNLP 2021

Manual Evaluation Matters: Reviewing Test Protocols of Distantly Supervised Relation Extraction IJCNLP 2021

Better Robustness by More Coverage: Adversarial and Mixup Data Augmentation for Robust Finetuning IJCNLP 2021

KACC: A Multi-task Benchmark for Knowledge Abstraction, Concretization and Completion IJCNLP 2021

Automatic Construction of Sememe Knowledge Bases via Dictionaries IJCNLP 2021

Open Hierarchical Relation Extraction NAACL 2021

Visual Distant Supervision for Scene Graph Generation ICCV 2021

Adversarial Language Games for Advanced Natural Language Intelligence AAAI 2021

Hidden Killer: Invisible Textual Backdoor Attacks with Syntactic Trigger ACL 2021

Few-NERD: A Few-shot Named Entity Recognition Dataset ACL 2021

ERICA: Improving Entity and Relation Understanding for Pre-trained Language Models via Contrastive Learning ACL 2021

Turn the Combination Lock: Learnable Textual Backdoor Attacks via Word Substitution ACL 2021

Few-Shot Text Ranking with Meta Adapted Synthetic Weak Supervision ACL 2021

CLEVE: Contrastive Pre-training for Event Extraction ACL 2021

OpenAttack: An Open-source Textual Adversarial Attack Toolkit ACL 2021

Manual Evaluation Matters: Reviewing Test Protocols of Distantly Supervised Relation Extraction ACL 2021

Better Robustness by More Coverage: Adversarial and Mixup Data Augmentation for Robust Finetuning ACL 2021

KACC: A Multi-task Benchmark for Knowledge Abstraction, Concretization and Completion ACL 2021

Automatic Construction of Sememe Knowledge Bases via Dictionaries ACL 2021

MOOCCube: A Large-scale Data Repository for NLP Applications in MOOCs ACL 2020

Try to Substitute: An Unsupervised Chinese Word Sense Disambiguation Method Based on HowNet COLING 2020

ExpanRL: Hierarchical Reinforcement Learning for Course Concept Expansion in MOOCs AACL 2020

More Data, More Relations, More Context and More Openness: A Review and Outlook for Relation Extraction AACL 2020

Neural Gibbs Sampling for Joint Event Argument Extraction AACL 2020

Graph Policy Network for Transferable Active Learning on Graphs NIPS 2020

Learning from Explanations with Neural Execution Tree ICLR 2020

Meta-Information Guided Meta-Learning for Few-Shot Relation Classification COLING 2020

JEC-QA: A Legal-Domain Question Answering Dataset AAAI 2020

Towards Building a Multilingual Sememe Knowledge Base: Predicting Sememes for BabelNet Synsets AAAI 2020

Neural Snowball for Few-Shot Relation Learning AAAI 2020

Incentivized Exploration for Multi-Armed Bandits under Reward Drift AAAI 2020

Iteratively Questioning and Answering for Interpretable Legal Judgment Prediction AAAI 2020

Multi-Channel Reverse Dictionary Model AAAI 2020

How Does NLP Benefit Legal System: A Summary of Legal Artificial Intelligence ACL 2020

Word-level Textual Adversarial Attacking as Combinatorial Optimization ACL 2020

Continual Relation Learning via Episodic Memory Activation and Reconsolidation ACL 2020

Fine-grained Fact Verification with Kernel Graph Attention Network ACL 2020

Enhancing Transformer with Sememe Knowledge ACL 2020

MAVEN: A Massive General Domain Event Detection Dataset EMNLP 2020

Learning from Context or Names? An Empirical Study on Neural Relation Extraction EMNLP 2020

Denoising Relation Extraction from Document-level Distant Supervision EMNLP 2020

Dynamic Anticipation and Completion for Multi-Hop Reasoning over Sparse Knowledge Graph EMNLP 2020

Exploring and Evaluating Attributes, Values, and Structures for Entity Alignment EMNLP 2020

Train No Evil: Selective Masking for Task-Guided Pre-Training EMNLP 2020

Coreferential Reasoning Learning for Language Representation EMNLP 2020

Partially-Aligned Data-to-Text Generation with Distant Supervision EMNLP 2020

WantWords: An Open-source Online Reverse Dictionary System EMNLP 2020

IsOBS: An Information System for Oracle Bone Script EMNLP 2020

Adapting Open Domain Fact Extraction and Verification to COVID-FACT through In-Domain Language Modeling EMNLP 2020

Expertise Style Transfer: A New Task Towards Better Communication between Experts and Laymen ACL 2020

Grounded Conversation Generation as Guided Traverses in Commonsense Knowledge Graphs ACL 2020

Multi-scale Information Diffusion Prediction with Reinforced Recurrent Networks IJCAI 2019

Open Relation Extraction: Relational Knowledge Transfer from Supervised Data to Unsupervised Data IJCNLP 2019

Low-Resource Name Tagging Learned with Weakly Labeled Data IJCNLP 2019

Multi-Channel Graph Neural Network for Entity Alignment ACL 2019

Chinese Relation Extraction with Multi-Grained Information and External Linguistic Knowledge ACL 2019

FewRel 2.0: Towards More Challenging Few-Shot Relation Classification EMNLP 2019

OpenNRE: An Open and Extensible Toolkit for Neural Relation Extraction EMNLP 2019

Modeling Semantic Compositionality with Sememe Knowledge ACL 2019

Open Relation Extraction: Relational Knowledge Transfer from Supervised Data to Unsupervised Data EMNLP 2019

XQA: A Cross-lingual Open-domain Question Answering Dataset ACL 2019

Quantifying Similarity between Relations with Fact Distribution ACL 2019

NumNet: Machine Reading Comprehension with Numerical Reasoning IJCNLP 2019

Fact Discovery from Knowledge Base via Facet Decomposition NAACL 2019

Graph Neural Networks with Generated Parameters for Relation Extraction ACL 2019

Relation Structure-Aware Heterogeneous Information Network Embedding AAAI 2019

Block Belief Propagation for Parameter Learning in Markov Random Fields AAAI 2019

Adversarial Training for Weakly Supervised Event Detection NAACL 2019

Adapting Meta Knowledge Graph Information for Multi-Hop Reasoning over Few-Shot Relations IJCNLP 2019

HMEAE: Hierarchical Modular Event Argument Extraction IJCNLP 2019

FewRel 2.0: Towards More Challenging Few-Shot Relation Classification IJCNLP 2019

OpenNRE: An Open and Extensible Toolkit for Neural Relation Extraction IJCNLP 2019

Event Detection with Trigger-Aware Lattice Neural Network IJCNLP 2019

Course Concept Expansion in MOOCs with External Knowledge and Interactive Game ACL 2019

Low-Resource Name Tagging Learned with Weakly Labeled Data EMNLP 2019

Event Detection with Trigger-Aware Lattice Neural Network EMNLP 2019

NumNet: Machine Reading Comprehension with Numerical Reasoning EMNLP 2019

Adapting Meta Knowledge Graph Information for Multi-Hop Reasoning over Few-Shot Relations EMNLP 2019

HMEAE: Hierarchical Modular Event Argument Extraction EMNLP 2019

DeepChannel: Salience Estimation by Contrastive Learning for Extractive Document Summarization AAAI 2019

DIAG-NRE: A Neural Pattern Diagnosis Framework for Distantly Supervised Neural Relation Extraction ACL 2019

ERNIE: Enhanced Language Representation with Informative Entities ACL 2019

DocRED: A Large-Scale Document-Level Relation Extraction Dataset ACL 2019

GEAR: Graph-based Evidence Aggregating and Reasoning for Fact Verification ACL 2019

Learning to Embed Sentences Using Attentive Recursive Trees AAAI 2019

Hybrid Attention-Based Prototypical Networks for Noisy Few-Shot Relation Classification AAAI 2019

Hierarchical Relation Extraction with Coarse-to-Fine Grained Attention EMNLP 2018

Put It Back: Entity Typing with Language Model Enhancement EMNLP 2018

Cross-lingual Lexical Sememe Prediction EMNLP 2018

Adversarial Multi-lingual Neural Relation Extraction COLING 2018

Neural Collective Entity Linking COLING 2018

Few-Shot Charge Prediction with Discriminative Legal Attributes COLING 2018

Entity-Duet Neural Ranking: Understanding the Role of Knowledge Graph Semantics in Neural Information Retrieval ACL 2018

Incorporating Chinese Characters of Words for Lexical Sememe Prediction ACL 2018

Denoising Distantly Supervised Open-Domain Question Answering ACL 2018

Joint Representation Learning of Cross-lingual Words and Entities via Attentive Distant Supervision EMNLP 2018

OpenKE: An Open Toolkit for Knowledge Embedding EMNLP 2018

FewRel: A Large-Scale Supervised Few-Shot Relation Classification Dataset with State-of-the-Art Evaluation EMNLP 2018

Language Modeling with Sparse Product of Sememe Experts EMNLP 2018

Legal Judgment Prediction via Topological Learning EMNLP 2018

Differentiating Concepts and Instances for Knowledge Graph Embedding EMNLP 2018

Iterative Entity Alignment via Joint Knowledge Embeddings IJCAI 2017

Lexical Sememe Prediction via Word Embeddings and Matrix Factorization IJCAI 2017

Fast Network Embedding Enhancement via High Order Proximity Approximation IJCAI 2017

Image-embodied Knowledge Representation Learning IJCAI 2017

Improved Word Representation Learning with Sememes ACL 2017

Incorporating Relation Paths in Neural Relation Extraction EMNLP 2017

Neural Relation Extraction with Multi-lingual Attention ACL 2017

On Modeling Sense Relatedness in Multi-prototype Word Embedding IJCNLP 2017

TransNet: Translation-Based Network Representation Learning for Social Relation Extraction IJCAI 2017

CANE: Context-Aware Network Embedding for Relation Modeling ACL 2017

Neural Sentiment Classification with User and Product Attention EMNLP 2016

Knowledge Representation Learning with Entities, Attributes and Relations IJCAI 2016

Representation Learning of Knowledge Graphs with Hierarchical Types IJCAI 2016

Relation Classification via Multi-Level Attention CNNs ACL 2016

Neural Relation Extraction with Selective Attention over Instances ACL 2016

Max-Margin DeepWalk: Discriminative Learning of Network Representation IJCAI 2016

Representation Learning for Measuring Entity Relatedness with Rich Information IJCAI 2015

Joint Learning of Character and Word Embeddings IJCAI 2015

Modeling Relation Paths for Representation Learning of Knowledge Bases EMNLP 2015

Online Learning of Interpretable Word Embeddings EMNLP 2015

Network Representation Learning with Rich Text Information IJCAI 2015

Learning Cross-lingual Word Embeddings via Matrix Co-factorization IJCNLP 2015

Learning Cross-lingual Word Embeddings via Matrix Co-factorization ACL 2015

Distant Supervision for Relation Extraction with Matrix Completion ACL 2014

A Unified Model for Word Sense Representation and Disambiguation EMNLP 2014

Expert Finding for Microblog Misinformation Identification COLING 2012

Tag Dispatch Model with Social Network Regularization for Microblog User Tag Suggestion COLING 2012

Topical Word Trigger Model for Keyphrase Extraction COLING 2012

Random Walks on Context-Aware Relation Graphs for Ranking Social Tags COLING 2012

A Simple Word Trigger Method for Social Tag Suggestion EMNLP 2011

Why Press Backspace? Understanding User Input Behaviors in Chinese Pinyin Input Method ACL 2011

Automatic Keyphrase Extraction by Bridging Vocabulary Gap CONLL 2011

Automatic Keyphrase Extraction via Topic Decomposition EMNLP 2010

Explore the Structure of Social Tags by Subsumption Relations COLING 2010

Growing Related Words from Seed via User Behaviors: A Re-Ranking Based Approach ACL 2010

Clustering to Find Exemplar Terms for Keyphrase Extraction EMNLP 2009