Zhiyuan Liu

LexRel: Benchmarking Legal Relation Extraction for Chinese Civil Cases ACL 2026 APB-V: Accelerating Long-Video Understanding via Sequence-Parallelism-aware Approximate Attention ACL 2026 LexChain: Modeling Legal Reasoning Chains for Chinese Tort Case Analysis AAAI 2026 FANoise: Singular Value-Adaptive Noise Modulation for Robust Multimodal Representation Learning AAAI 2026 ThinkNote: Enhancing Knowledge Integration and Utilization of Large Language Models via Constructivist Cognition Modeling EACL 2026 KNNDA: A New Perspective of Alignment Recovery for Partially View-Aligned Clustering AAAI 2026 UltraEval-Audio: A Unified Framework for Comprehensive Evaluation of Audio Foundation Models ACL 2026 SimPBL: A Multi-Agent Framework for Project-Based Learning ACL 2026 AutoReproduce: Automatic AI Experiment Reproduction with Paper Lineage ACL 2026 AutoClean: LLMs Can Prepare Their Training Corpus 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 Graph Coarsening via Supervised Granular-Ball for Scalable Graph Neural Network Training AAAI 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 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 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 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 DebugBench: Evaluating Debugging Capability of Large 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 MolTC: Towards Molecular Relational Modeling In Language Models ACL 2024 INTERVENOR: Prompting the Coding Ability of Large Language Models with the Interactive Chain of Repair 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 From Adversarial Arms Race to Model-centric Evaluation: Motivating a Unified Automatic Robustness Evaluation Framework ACL 2023 VPGTrans: Transfer Visual Prompt Generator across LLMs NIPS 2023 Automatic Truss Design with Reinforcement Learning IJCAI 2023 The Devil is in the Details: On the Pitfalls of Event Extraction Evaluation ACL 2023 Won’t Get Fooled Again: Answering Questions with False Premises ACL 2023 Emergent Modularity in Pre-trained Transformers ACL 2023 Few-shot Classification with Hypersphere Modeling of Prototypes ACL 2023 OpenDelta: A Plug-and-play Library for Parameter-efficient Adaptation of Pre-trained Models ACL 2023 Augmentation-Adapted Retriever Improves Generalization of Language Models as Generic Plug-In ACL 2023 Visually Grounded Commonsense Knowledge Acquisition AAAI 2023 Rethinking Tokenizer and Decoder in Masked Graph Modeling for Molecules NIPS 2023 Parameter-efficient Weight Ensembling Facilitates Task-level Knowledge Transfer ACL 2023 Recyclable Tuning for Continual Pre-training ACL 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 A Close Look into the Calibration of Pre-trained Language Models ACL 2023 Plug-and-Play Document Modules for Pre-trained Models ACL 2023 GLM-130B: An Open Bilingual Pre-trained Model ICLR 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 Structure-Aware Language Model Pretraining Improves Dense Retrieval on Structured Data ACL 2023 Boosting Inference Efficiency: Unleashing the Power of Parameter-Shared Pre-trained Language Models EMNLP 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 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 Stochastic Bridges as Effective Regularizers for Parameter-Efficient Tuning ACL 2023 READIN: A Chinese Multi-Task Benchmark with Realistic and Diverse Input Noises ACL 2023 Video as Conditional Graph Hierarchy for Multi-Granular Question Answering AAAI 2022 Fine-Grained Scene Graph Generation with Data Transfer ECCV 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 ProQA: Structural Prompt-based Pre-training for Unified Question Answering NAACL 2022 On Transferability of Prompt Tuning for Natural Language Processing NAACL 2022 Knowledge Inheritance for Pre-trained Language Models NAACL 2022 Prompt-learning for Fine-grained Entity Typing EMNLP 2022 Different Tunes Played with Equal Skill: Exploring a Unified Optimization Subspace for Parameter-Efficient Tuning EMNLP 2022 FPT: Improving Prompt Tuning Efficiency via Progressive Training EMNLP 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 Textual Backdoor Attacks Can Be More Harmful via Two Simple Tricks EMNLP 2022 Finding Skill Neurons in Pre-trained Transformer-based Language Models EMNLP 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 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 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 GACT: Activation Compressed Training for Generic Network Architectures ICML 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 KACC: A Multi-task Benchmark for Knowledge Abstraction, Concretization and Completion IJCNLP 2021 Hidden Killer: Invisible Textual Backdoor Attacks with Syntactic Trigger IJCNLP 2021 Few-NERD: A Few-shot Named Entity Recognition Dataset IJCNLP 2021 ERICA: Improving Entity and Relation Understanding for Pre-trained Language Models via Contrastive Learning 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 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 Automatic Construction of Sememe Knowledge Bases via Dictionaries 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 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 Graph Policy Network for Transferable Active Learning on Graphs NIPS 2020 Learning from Explanations with Neural Execution Tree ICLR 2020 Learning from Context or Names? An Empirical Study on Neural Relation Extraction EMNLP 2020 Fine-grained Fact Verification with Kernel Graph Attention Network ACL 2020 Continual Relation Learning via Episodic Memory Activation and Reconsolidation ACL 2020 Word-level Textual Adversarial Attacking as Combinatorial Optimization ACL 2020 Iteratively Questioning and Answering for Interpretable Legal Judgment Prediction AAAI 2020 Multi-Channel Reverse Dictionary Model AAAI 2020 Enhancing Transformer with Sememe Knowledge ACL 2020 MAVEN: A Massive General Domain Event Detection Dataset EMNLP 2020 Train No Evil: Selective Masking for Task-Guided Pre-Training EMNLP 2020 Exploring and Evaluating Attributes, Values, and Structures for Entity Alignment EMNLP 2020 Dynamic Anticipation and Completion for Multi-Hop Reasoning over Sparse Knowledge Graph EMNLP 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 How Does NLP Benefit Legal System: A Summary of Legal Artificial Intelligence ACL 2020 MOOCCube: A Large-scale Data Repository for NLP Applications in MOOCs ACL 2020 Adapting Open Domain Fact Extraction and Verification to COVID-FACT through In-Domain Language Modeling EMNLP 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 Try to Substitute: An Unsupervised Chinese Word Sense Disambiguation Method Based on HowNet COLING 2020 Meta-Information Guided Meta-Learning for Few-Shot Relation Classification COLING 2020 IsOBS: An Information System for Oracle Bone Script EMNLP 2020 WantWords: An Open-source Online Reverse Dictionary System EMNLP 2020 Neural Snowball for Few-Shot Relation Learning AAAI 2020 Incentivized Exploration for Multi-Armed Bandits under Reward Drift AAAI 2020 Denoising Relation Extraction from Document-level Distant Supervision EMNLP 2020 Grounded Conversation Generation as Guided Traverses in Commonsense Knowledge Graphs ACL 2020 Expertise Style Transfer: A New Task Towards Better Communication between Experts and Laymen ACL 2020 Partially-Aligned Data-to-Text Generation with Distant Supervision EMNLP 2020 Coreferential Reasoning Learning for Language Representation EMNLP 2020 Adapting Meta Knowledge Graph Information for Multi-Hop Reasoning over Few-Shot Relations EMNLP 2019 Modeling Semantic Compositionality with Sememe Knowledge ACL 2019 Course Concept Expansion in MOOCs with External Knowledge and Interactive Game ACL 2019 Chinese Relation Extraction with Multi-Grained Information and External Linguistic Knowledge ACL 2019 Quantifying Similarity between Relations with Fact Distribution ACL 2019 XQA: A Cross-lingual Open-domain Question Answering Dataset ACL 2019 Multi-Channel Graph Neural Network for Entity Alignment ACL 2019 ERNIE: Enhanced Language Representation with Informative Entities ACL 2019 FewRel 2.0: Towards More Challenging Few-Shot Relation Classification IJCNLP 2019 HMEAE: Hierarchical Modular Event Argument Extraction IJCNLP 2019 Adapting Meta Knowledge Graph Information for Multi-Hop Reasoning over Few-Shot Relations IJCNLP 2019 NumNet: Machine Reading Comprehension with Numerical Reasoning IJCNLP 2019 Event Detection with Trigger-Aware Lattice Neural Network IJCNLP 2019 Low-Resource Name Tagging Learned with Weakly Labeled Data IJCNLP 2019 Open Relation Extraction: Relational Knowledge Transfer from Supervised Data to Unsupervised Data IJCNLP 2019 DIAG-NRE: A Neural Pattern Diagnosis Framework for Distantly Supervised Neural Relation Extraction ACL 2019 Multi-scale Information Diffusion Prediction with Reinforced Recurrent Networks IJCAI 2019 HMEAE: Hierarchical Modular Event Argument Extraction EMNLP 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 Fact Discovery from Knowledge Base via Facet Decomposition NAACL 2019 DeepChannel: Salience Estimation by Contrastive Learning for Extractive Document Summarization AAAI 2019 Event Detection with Trigger-Aware Lattice Neural Network EMNLP 2019 Adversarial Training for Weakly Supervised Event Detection NAACL 2019 Low-Resource Name Tagging Learned with Weakly Labeled Data EMNLP 2019 Learning to Embed Sentences Using Attentive Recursive Trees AAAI 2019 Hybrid Attention-Based Prototypical Networks for Noisy Few-Shot Relation Classification AAAI 2019 Relation Structure-Aware Heterogeneous Information Network Embedding AAAI 2019 Block Belief Propagation for Parameter Learning in Markov Random Fields AAAI 2019 Open Relation Extraction: Relational Knowledge Transfer from Supervised Data to Unsupervised Data EMNLP 2019 DocRED: A Large-Scale Document-Level Relation Extraction Dataset ACL 2019 GEAR: Graph-based Evidence Aggregating and Reasoning for Fact Verification ACL 2019 Graph Neural Networks with Generated Parameters for Relation Extraction ACL 2019 OpenNRE: An Open and Extensible Toolkit for Neural Relation Extraction IJCNLP 2019 NumNet: Machine Reading Comprehension with Numerical Reasoning EMNLP 2019 Neural Collective Entity Linking COLING 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 Hierarchical Relation Extraction with Coarse-to-Fine Grained Attention EMNLP 2018 Differentiating Concepts and Instances for Knowledge Graph Embedding EMNLP 2018 Put It Back: Entity Typing with Language Model Enhancement EMNLP 2018 Cross-lingual Lexical Sememe Prediction EMNLP 2018 Joint Representation Learning of Cross-lingual Words and Entities via Attentive Distant Supervision EMNLP 2018 Denoising Distantly Supervised Open-Domain Question Answering ACL 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 Adversarial Multi-lingual Neural Relation Extraction COLING 2018 Few-Shot Charge Prediction with Discriminative Legal Attributes COLING 2018 Incorporating Relation Paths in Neural Relation Extraction EMNLP 2017 On Modeling Sense Relatedness in Multi-prototype Word Embedding IJCNLP 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 TransNet: Translation-Based Network Representation Learning for Social Relation Extraction IJCAI 2017 Iterative Entity Alignment via Joint Knowledge Embeddings IJCAI 2017 Improved Word Representation Learning with Sememes ACL 2017 CANE: Context-Aware Network Embedding for Relation Modeling ACL 2017 Neural Relation Extraction with Multi-lingual Attention ACL 2017 Neural Sentiment Classification with User and Product Attention EMNLP 2016 Neural Relation Extraction with Selective Attention over Instances ACL 2016 Relation Classification via Multi-Level Attention CNNs ACL 2016 Representation Learning of Knowledge Graphs with Hierarchical Types IJCAI 2016 Knowledge Representation Learning with Entities, Attributes and Relations IJCAI 2016 Max-Margin DeepWalk: Discriminative Learning of Network Representation IJCAI 2016 Learning Cross-lingual Word Embeddings via Matrix Co-factorization IJCNLP 2015 Network Representation Learning with Rich Text Information IJCAI 2015 Representation Learning for Measuring Entity Relatedness with Rich Information IJCAI 2015 Joint Learning of Character and Word Embeddings IJCAI 2015 Learning Cross-lingual Word Embeddings via Matrix Co-factorization ACL 2015 Modeling Relation Paths for Representation Learning of Knowledge Bases EMNLP 2015 Online Learning of Interpretable Word Embeddings EMNLP 2015 A Unified Model for Word Sense Representation and Disambiguation EMNLP 2014 Distant Supervision for Relation Extraction with Matrix Completion ACL 2014 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 Expert Finding for Microblog Misinformation Identification COLING 2012 Why Press Backspace? Understanding User Input Behaviors in Chinese Pinyin Input Method ACL 2011 A Simple Word Trigger Method for Social Tag Suggestion EMNLP 2011 Automatic Keyphrase Extraction by Bridging Vocabulary Gap CONLL 2011 Growing Related Words from Seed via User Behaviors: A Re-Ranking Based Approach ACL 2010 Explore the Structure of Social Tags by Subsumption Relations COLING 2010 Automatic Keyphrase Extraction via Topic Decomposition EMNLP 2010 Clustering to Find Exemplar Terms for Keyphrase Extraction EMNLP 2009