Huajun Chen

Know the Known and the Unknown: Reasonable Answer Generation with Knowledge-Informed Citations ACL 2026 CoG: Controllable Graph Reasoning via Relational Blueprints and Failure-Aware Refinement over Knowledge Graphs ACL 2026 Illusions of Confidence? Diagnosing LLM Truthfulness via Neighborhood Consistency ACL 2026 Can We Predict Before Executing Machine Learning Agents? ACL 2026 Why Do Open-Source LLMs Struggle with Data Analysis? A Systematic Empirical Study AAAI 2026 Thinker: Training LLMs in Hierarchical Thinking for Deep Search via Multi-Turn Interaction AAAI 2026 Why Steering Works: Toward a Unified View of Language Model Parameter Dynamics ACL 2026 What Makes AI Research Replicable? Executable Knowledge Graphs as Scientific Knowledge Representations ACL 2026 Template-Theorems Graph Construction to Enhance Mathematical Reasoning Capabilities of LLM AAAI 2026 Breaking the Modality Barrier: Generative Modeling for Accurate Molecule Retrieval from Mass Spectra AAAI 2026 KnowRL: Exploring Knowledgeable Reinforcement Learning for Factuality ACL 2026 How Controllable Are Large Language Models? A Unified Evaluation across Behavioral Granularities ACL 2026 Temp-R1: A Unified Autonomous Agent for Complex Temporal KGQA via Reverse Curriculum Reinforcement Learning ACL 2026 ASTRA: Adaptive Semantic Tree Reasoning Architecture for Complex Table Question Answering ACL 2026 LightThinker: Thinking Step-by-Step Compression EMNLP 2025 CaKE: Circuit-aware Editing Enables Generalizable Knowledge Learners EMNLP 2025 RTQA : Recursive Thinking for Complex Temporal Knowledge Graph Question Answering with Large Language Models EMNLP 2025 Enrich-on-Graph: Query-Graph Alignment for Complex Reasoning with LLM Enriching EMNLP 2025 OmniThink: Expanding Knowledge Boundaries in Machine Writing through Thinking EMNLP 2025 Tokenization, Fusion, and Augmentation: Towards Fine-grained Multi-modal Entity Representation AAAI 2025 TrustUQA: A Trustful Framework for Unified Structured Data Question Answering AAAI 2025 ZJUKLAB at SemEval-2025 Task 4: Unlearning via Model Merging. SEMEVAL 2025 KnowAgent: Knowledge-Augmented Planning for LLM-Based Agents NAACL 2025 MLLM can see? Dynamic Correction Decoding for Hallucination Mitigation ICLR 2025 Benchmarking Agentic Workflow Generation ICLR 2025 Have We Designed Generalizable Structural Knowledge Promptings? Systematic Evaluation and Rethinking ACL 2025 ReLearn: Unlearning via Learning for Large Language Models ACL 2025 CKnowEdit: A New Chinese Knowledge Editing Dataset for Linguistics, Facts, and Logic Error Correction in LLMs ACL 2025 Sample-Efficient Human Evaluation of Large Language Models via Maximum Discrepancy Competition ACL 2025 Croppable Knowledge Graph Embedding ACL 2025 Enhancing Safe and Controllable Protein Generation via Knowledge Preference Optimization ACL 2025 Agentic Knowledgeable Self-awareness ACL 2025 RiOT: Efficient Prompt Refinement with Residual Optimization Tree ACL 2025 EventRAG: Enhancing LLM Generation with Event Knowledge Graphs ACL 2025 Boosting LLM’s Molecular Structure Elucidation with Knowledge Enhanced Tree Search Reasoning ACL 2025 Beyond Prompt Engineering: Robust Behavior Control in LLMs via Steering Target Atoms ACL 2025 SynWorld: Virtual Scenario Synthesis for Agentic Action Knowledge Refinement ACL 2025 How Do LLMs Acquire New Knowledge? A Knowledge Circuits Perspective on Continual Pre-Training ACL 2025 Beyond Completion: A Foundation Model for General Knowledge Graph Reasoning ACL 2025 ZJUKLAB at SemEval-2025 Task 4: Unlearning via Model Merging. ACL 2025 Multiple Heads are Better than One: Mixture of Modality Knowledge Experts for Entity Representation Learning ICLR 2025 SaMer: A Scenario-aware Multi-dimensional Evaluator for Large Language Models ICLR 2025 SKA-Bench: A Fine-Grained Benchmark for Evaluating Structured Knowledge Understanding of LLMs EMNLP 2025 Exploring Model Kinship for Merging Large Language Models EMNLP 2025 K-ON: Stacking Knowledge on the Head Layer of Large Language Model AAAI 2025 Noise-powered Multi-modal Knowledge Graph Representation Framework COLING 2025 EasyEdit2: An Easy-to-use Steering Framework for Editing Large Language Models EMNLP 2025 Making Language Models Better Tool Learners with Execution Feedback NAACL 2024 WISE: Rethinking the Knowledge Memory for Lifelong Model Editing of Large Language Models NIPS 2024 DePLM: Denoising Protein Language Models for Property Optimization NIPS 2024 Agent Planning with World Knowledge Model NIPS 2024 Knowledge Circuits in Pretrained Transformers NIPS 2024 MKGL: Mastery of a Three-Word Language NIPS 2024 When Do Program-of-Thought Works for Reasoning? AAAI 2024 Editing Language Model-Based Knowledge Graph Embeddings AAAI 2024 InstructProtein: Aligning Human and Protein Language via Knowledge Instruction ACL 2024 AutoAct: Automatic Agent Learning from Scratch for QA via Self-Planning ACL 2024 Detoxifying Large Language Models via Knowledge Editing ACL 2024 Unified Hallucination Detection for Multimodal Large Language Models ACL 2024 OceanGPT: A Large Language Model for Ocean Science Tasks ACL 2024 IEPile: Unearthing Large Scale Schema-Conditioned Information Extraction Corpus ACL 2024 EasyEdit: An Easy-to-use Knowledge Editing Framework for Large Language Models ACL 2024 EasyInstruct: An Easy-to-use Instruction Processing Framework for Large Language Models ACL 2024 Knowledgeable Preference Alignment for LLMs in Domain-specific Question Answering ACL 2024 Enhancing Cross Text-Molecule Learning by Self-Augmentation ACL 2024 DET: A Dual-Encoding Transformer for Relational Graph Embedding COLING 2024 Prompt-fused Framework for Inductive Logical Query Answering COLING 2024 Unleashing the Power of Imbalanced Modality Information for Multi-modal Knowledge Graph Completion COLING 2024 Editing Conceptual Knowledge for Large Language Models EMNLP 2024 RaFe: Ranking Feedback Improves Query Rewriting for RAG EMNLP 2024 To Forget or Not? Towards Practical Knowledge Unlearning for Large Language Models EMNLP 2024 OneGen: Efficient One-Pass Unified Generation and Retrieval for LLMs EMNLP 2024 Knowledge Mechanisms in Large Language Models: A Survey and Perspective EMNLP 2024 Learning to Plan for Retrieval-Augmented Large Language Models from Knowledge Graphs EMNLP 2024 Mol-Instructions: A Large-Scale Biomolecular Instruction Dataset for Large Language Models ICLR 2024 Revisit and Outstrip Entity Alignment: A Perspective of Generative Models ICLR 2024 Unveiling the Pitfalls of Knowledge Editing for Large Language Models ICLR 2024 Domain-Agnostic Molecular Generation with Chemical Feedback ICLR 2024 Knowledge-aware Reinforced Language Models for Protein Directed Evolution ICML 2024 FactCHD: Benchmarking Fact-Conflicting Hallucination Detection IJCAI 2024 Continual Multimodal Knowledge Graph Construction IJCAI 2024 InstructEdit: Instruction-Based Knowledge Editing for Large Language Models IJCAI 2024 Newton–Cotes Graph Neural Networks: On the Time Evolution of Dynamic Systems NIPS 2023 Multi-level Protein Structure Pre-training via Prompt Learning ICLR 2023 Multimodal Analogical Reasoning over Knowledge Graphs ICLR 2023 DUET: Cross-Modal Semantic Grounding for Contrastive Zero-Shot Learning AAAI 2023 On Analyzing the Role of Image for Visual-Enhanced Relation Extraction (Student Abstract) AAAI 2023 Schema-adaptable Knowledge Graph Construction EMNLP 2023 Reasoning with Language Model Prompting: A Survey ACL 2023 Can We Edit Multimodal Large Language Models? EMNLP 2023 Editing Large Language Models: Problems, Methods, and Opportunities EMNLP 2023 Knowledge Rumination for Pre-trained Language Models EMNLP 2023 Entity-Agnostic Representation Learning for Parameter-Efficient Knowledge Graph Embedding AAAI 2023 Analogical Inference Enhanced Knowledge Graph Embedding AAAI 2023 Multi-Modal Protein Knowledge Graph Construction and Applications (Student Abstract) AAAI 2023 Graph Sampling-based Meta-Learning for Molecular Property Prediction IJCAI 2023 One Model for All Domains: Collaborative Domain-Prefix Tuning for Cross-Domain NER IJCAI 2023 Generalizing to Unseen Elements: A Survey on Knowledge Extrapolation for Knowledge Graphs IJCAI 2023 Learning Invariant Molecular Representation in Latent Discrete Space NIPS 2023 Towards Realistic Low-resource Relation Extraction: A Benchmark with Empirical Baseline Study EMNLP 2022 Ruleformer: Context-aware Rule Mining over Knowledge Graph COLING 2022 Commonsense Knowledge Salience Evaluation with a Benchmark Dataset in E-commerce EMNLP 2022 LightNER: A Lightweight Tuning Paradigm for Low-resource NER via Pluggable Prompting COLING 2022 Neural-Symbolic Entangled Framework for Complex Query Answering NIPS 2022 Good Visual Guidance Make A Better Extractor: Hierarchical Visual Prefix for Multimodal Entity and Relation Extraction NAACL 2022 Differentiable Prompt Makes Pre-trained Language Models Better Few-shot Learners ICLR 2022 OntoProtein: Protein Pretraining With Gene Ontology Embedding ICLR 2022 Meta-Learning Based Knowledge Extrapolation for Knowledge Graphs in the Federated Setting IJCAI 2022 Deep Reinforcement Learning for Entity Alignment ACL 2022 Understanding and Improving Knowledge Graph Embedding for Entity Alignment ICML 2022 Learning to Ask for Data-Efficient Event Argument Extraction (Student Abstract) AAAI 2022 Molecular Contrastive Learning with Chemical Element Knowledge Graph AAAI 2022 Generative Knowledge Graph Construction: A Review EMNLP 2022 Contrastive Demonstration Tuning for Pre-trained Language Models EMNLP 2022 Decoupling Knowledge from Memorization: Retrieval-augmented Prompt Learning NIPS 2022 MLBiNet: A Cross-Sentence Collective Event Detection Network IJCNLP 2021 Contrastive Triple Extraction with Generative Transformer AAAI 2021 Document-level Relation Extraction as Semantic Segmentation IJCAI 2021 Drop Redundant, Shrink Irrelevant: Selective Knowledge Injection for Language Pretraining IJCAI 2021 Knowledge-aware Zero-Shot Learning: Survey and Perspective IJCAI 2021 OntoED: Low-resource Event Detection with Ontology Embedding IJCNLP 2021 ZJUKLAB at SemEval-2021 Task 4: Negative Augmentation with Language Model for Reading Comprehension of Abstract Meaning IJCNLP 2021 ZJUKLAB at SemEval-2021 Task 4: Negative Augmentation with Language Model for Reading Comprehension of Abstract Meaning ACL 2021 ZJUKLAB at SemEval-2021 Task 4: Negative Augmentation with Language Model for Reading Comprehension of Abstract Meaning SEMEVAL 2021 MLBiNet: A Cross-Sentence Collective Event Detection Network ACL 2021 OntoED: Low-resource Event Detection with Ontology Embedding ACL 2021 Summarizing Chinese Medical Answer with Graph Convolution Networks and Question-focused Dual Attention EMNLP 2020 Neural Entity Summarization with Joint Encoding and Weak Supervision IJCAI 2020 When Low Resource NLP Meets Unsupervised Language Model: Meta-Pretraining then Meta-Learning for Few-Shot Text Classification (Student Abstract) AAAI 2020 Logic-guided Semantic Representation Learning for Zero-Shot Relation Classification COLING 2020 OpenUE: An Open Toolkit of Universal Extraction from Text EMNLP 2020 Zero-shot Text Classification via Reinforced Self-training ACL 2020 Bridging Text and Knowledge with Multi-Prototype Embedding for Few-Shot Relational Triple Extraction COLING 2020 Augmenting Transfer Learning with Semantic Reasoning IJCAI 2019 Meta Relational Learning for Few-Shot Link Prediction in Knowledge Graphs IJCNLP 2019 Meta Relational Learning for Few-Shot Link Prediction in Knowledge Graphs EMNLP 2019 Long-tail Relation Extraction via Knowledge Graph Embeddings and Graph Convolution Networks NAACL 2019 Label-Free Distant Supervision for Relation Extraction via Knowledge Graph Embedding EMNLP 2018 Attention-Based Capsule Networks with Dynamic Routing for Relation Extraction EMNLP 2018 Learning from Ontology Streams with Semantic Concept Drift IJCAI 2017