Ningyu Zhang

Why Do Open-Source LLMs Struggle with Data Analysis? A Systematic Empirical Study AAAI 2026 ReCode: Updating Code API Knowledge with Reinforcement Learning AAAI 2026 KnowRL: Exploring Knowledgeable Reinforcement Learning for Factuality ACL 2026 Illusions of Confidence? Diagnosing LLM Truthfulness via Neighborhood Consistency ACL 2026 What Makes AI Research Replicable? Executable Knowledge Graphs as Scientific Knowledge Representations ACL 2026 Can We Predict Before Executing Machine Learning Agents? ACL 2026 How Controllable Are Large Language Models? A Unified Evaluation across Behavioral Granularities ACL 2026 Why Steering Works: Toward a Unified View of Language Model Parameter Dynamics ACL 2026 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 ZJUKLAB at SemEval-2025 Task 4: Unlearning via Model Merging. ACL 2025 Knowledge Graph Pooling and Unpooling for Concept Abstraction COLING 2025 ZJUKLAB at SemEval-2025 Task 4: Unlearning via Model Merging. SEMEVAL 2025 EasyEdit2: An Easy-to-use Steering Framework for Editing Large Language Models EMNLP 2025 OmniThink: Expanding Knowledge Boundaries in Machine Writing through Thinking EMNLP 2025 Constraining Sequential Model Editing with Editing Anchor Compression NAACL 2025 BiasEdit: Debiasing Stereotyped Language Models via Model Editing NAACL 2025 Benchmarking Agentic Workflow Generation ICLR 2025 AnyEdit: Edit Any Knowledge Encoded in Language Models ICML 2025 LightThinker: Thinking Step-by-Step Compression EMNLP 2025 KnowAgent: Knowledge-Augmented Planning for LLM-Based Agents NAACL 2025 MLLM can see? Dynamic Correction Decoding for Hallucination Mitigation ICLR 2025 Exploring Model Kinship for Merging Large Language Models EMNLP 2025 CaKE: Circuit-aware Editing Enables Generalizable Knowledge Learners EMNLP 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 Agentic Knowledgeable Self-awareness ACL 2025 Beyond Prompt Engineering: Robust Behavior Control in LLMs via Steering Target Atoms ACL 2025 Unveiling the Pitfalls of Knowledge Editing for Large Language Models ICLR 2024 Neighboring Perturbations of Knowledge Editing on Large Language Models ICML 2024 Making Language Models Better Tool Learners with Execution Feedback NAACL 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 SeqGPT: An Out-of-the-Box Large Language Model for Open Domain Sequence Understanding AAAI 2024 WISE: Rethinking the Knowledge Memory for Lifelong Model Editing of Large Language Models NIPS 2024 Agent Planning with World Knowledge Model NIPS 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 Exploring Collaboration Mechanisms for LLM Agents: A Social Psychology View 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 Towards A Unified View of Answer Calibration for Multi-Step Reasoning ACL 2024 Knowledge Circuits in Pretrained Transformers NIPS 2024 Knowledge Editing for Large Language Models COLING 2024 Existence Is Chaos: Enhancing 3D Human Motion Prediction with Uncertainty Consideration AAAI 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 HyperLoRA: Efficient Cross-task Generalization via Constrained Low-Rank Adapters Generation EMNLP 2024 When Do Program-of-Thought Works for Reasoning? AAAI 2024 Editing Language Model-Based Knowledge Graph Embeddings AAAI 2024 Tool-Augmented Reward Modeling ICLR 2024 Mol-Instructions: A Large-Scale Biomolecular Instruction Dataset for Large Language Models ICLR 2024 Domain-Agnostic Molecular Generation with Chemical Feedback ICLR 2024 SPEECH: Structured Prediction with Energy-Based Event-Centric Hyperspheres ACL 2023 Editing Large Language Models AACL 2023 Editing Large Language Models IJCNLP 2023 One Model for All Domains: Collaborative Domain-Prefix Tuning for Cross-Domain NER IJCAI 2023 LambdaKG: A Library for Pre-trained Language Model-Based Knowledge Graph Embeddings IJCNLP 2023 How to Unleash the Power of Large Language Models for Few-shot Relation Extraction? ACL 2023 Class Lifelong Learning for Intent Detection via Structure Consolidation Networks ACL 2023 Reasoning with Language Model Prompting: A Survey ACL 2023 Newton–Cotes Graph Neural Networks: On the Time Evolution of Dynamic Systems NIPS 2023 Multi-Modal Protein Knowledge Graph Construction and Applications (Student Abstract) AAAI 2023 On Analyzing the Role of Image for Visual-Enhanced Relation Extraction (Student Abstract) AAAI 2023 Multimodal Analogical Reasoning over Knowledge Graphs ICLR 2023 Knowledge Rumination for Pre-trained Language Models EMNLP 2023 Editing Large Language Models: Problems, Methods, and Opportunities EMNLP 2023 Can We Edit Multimodal Large Language Models? EMNLP 2023 Novel Relation Detection: Discovering Unknown Relation Types via Multi-Strategy Self-Supervised Learning EMNLP 2023 Schema-adaptable Knowledge Graph Construction EMNLP 2023 Differentiable Prompt Makes Pre-trained Language Models Better Few-shot Learners ICLR 2022 Learning to Ask for Data-Efficient Event Argument Extraction (Student Abstract) AAAI 2022 Efficient and Robust Knowledge Graph Construction AACL 2022 CBLUE: A Chinese Biomedical Language Understanding Evaluation Benchmark ACL 2022 LightNER: A Lightweight Tuning Paradigm for Low-resource NER via Pluggable Prompting COLING 2022 Finding Influential Instances for Distantly Supervised Relation Extraction COLING 2022 Generative Knowledge Graph Construction: A Review EMNLP 2022 DeepKE: A Deep Learning Based Knowledge Extraction Toolkit for Knowledge Base Population EMNLP 2022 Commonsense Knowledge Salience Evaluation with a Benchmark Dataset in E-commerce EMNLP 2022 Towards Realistic Low-resource Relation Extraction: A Benchmark with Empirical Baseline Study EMNLP 2022 Contrastive Demonstration Tuning for Pre-trained Language Models EMNLP 2022 Decoupling Knowledge from Memorization: Retrieval-augmented Prompt Learning NIPS 2022 OntoProtein: Protein Pretraining With Gene Ontology Embedding ICLR 2022 Efficient and Robust Knowledge Graph Construction IJCNLP 2022 Good Visual Guidance Make A Better Extractor: Hierarchical Visual Prefix for Multimodal Entity and Relation Extraction NAACL 2022 ZJUKLAB at SemEval-2021 Task 4: Negative Augmentation with Language Model for Reading Comprehension of Abstract Meaning IJCNLP 2021 Contrastive Triple Extraction with Generative Transformer AAAI 2021 OntoED: Low-resource Event Detection with Ontology Embedding IJCNLP 2021 Drop Redundant, Shrink Irrelevant: Selective Knowledge Injection for Language Pretraining IJCAI 2021 ZJUKLAB at SemEval-2021 Task 4: Negative Augmentation with Language Model for Reading Comprehension of Abstract Meaning SEMEVAL 2021 ZJUKLAB at SemEval-2021 Task 4: Negative Augmentation with Language Model for Reading Comprehension of Abstract Meaning ACL 2021 PRGC: Potential Relation and Global Correspondence Based Joint Relational Triple Extraction ACL 2021 MLBiNet: A Cross-Sentence Collective Event Detection Network ACL 2021 OntoED: Low-resource Event Detection with Ontology Embedding ACL 2021 MLBiNet: A Cross-Sentence Collective Event Detection Network IJCNLP 2021 PRGC: Potential Relation and Global Correspondence Based Joint Relational Triple Extraction IJCNLP 2021 Field Embedding: A Unified Grain-Based Framework for Word Representation NAACL 2021 Noisy-Labeled NER with Confidence Estimation NAACL 2021 Document-level Relation Extraction as Semantic Segmentation IJCAI 2021 Unsupervised Knowledge Graph Alignment by Probabilistic Reasoning and Semantic Embedding IJCAI 2021 When Low Resource NLP Meets Unsupervised Language Model: Meta-Pretraining then Meta-Learning for Few-Shot Text Classification (Student Abstract) AAAI 2020 OpenUE: An Open Toolkit of Universal Extraction from Text EMNLP 2020 Logic-guided Semantic Representation Learning for Zero-Shot Relation Classification COLING 2020 Bridging Text and Knowledge with Multi-Prototype Embedding for Few-Shot Relational Triple Extraction COLING 2020 Summarizing Chinese Medical Answer with Graph Convolution Networks and Question-focused Dual Attention EMNLP 2020 Long-tail Relation Extraction via Knowledge Graph Embeddings and Graph Convolution Networks NAACL 2019 Attention-Based Capsule Networks with Dynamic Routing for Relation Extraction EMNLP 2018