← Authors

Ningyu Zhang

108 papers · 2018–2026 · 12 conferences · across top CS/AI conferences

Achievements

πŸƒ Academic Marathon (7) 🌈 Renaissance Researcher (9) 🌍 Conference Polyglot (12) 🐝 Cross-Pollinator (8) πŸŒ‰ Interdisciplinary Bridge 🐣 Hot Topic Early Bird πŸ—ΊοΈ Taxonomy Completionist (14) 🧭 Keyword Pioneer 🏠 Conference Loyalist (25) 🀝 Dynamic Duo (77) πŸ‘‘ Triple Crown πŸ† Grand Slam πŸ‘₯ Mega-Team (23) πŸ”¬ Deep Specialist (21) 🧬 Topic Evolution πŸ† Keyword Champion (14) ⚑ Prolific Year (17) ❓ The Questioner (6) πŸ’Ž Century Club (106) πŸ”₯ Unstoppable (8) πŸ—ƒοΈ Keyword Collector (370) πŸ“ˆ Trend Setter

Conferences

ACL (25) EMNLP (24) AAAI (11) ICLR (9) NAACL (8) IJCAI (7) IJCNLP (7) COLING (6) NIPS (5) AACL (2) ICML (2) SEMEVAL (2)

Top co-authors

Huajun Chen (78) Shumin Deng (46) Fei Huang (24) Xiang Chen (22) Yunzhi Yao (20) Xi Chen (18) Shuofei Qiao (15) Chuanqi Tan (13) Lei Li (11) Yong Jiang (11)

Research topics

Science (1)

Keywords

large language model (30) knowledge editing (14) relation extraction (12) language model (10) named entity recognition (10) model editing (9) information extraction (8) knowledge graph construction (7) few-shot learning (5) event detection (5) entity extraction (5) knowledge graph embedding (5) event extraction (5) instruction tuning (5) knowledge graph (4) prompt learning (4) zero-shot learning (4) multimodal learning (3) contrastive learning (3) model merging (3)

Papers

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
How Do LLMs Acquire New Knowledge? A Knowledge Circuits Perspective on Continual Pre-Training ACL 2025
Constraining Sequential Model Editing with Editing Anchor Compression NAACL 2025
SynWorld: Virtual Scenario Synthesis for Agentic Action Knowledge Refinement ACL 2025
KnowAgent: Knowledge-Augmented Planning for LLM-Based Agents NAACL 2025
ZJUKLAB at SemEval-2025 Task 4: Unlearning via Model Merging. SEMEVAL 2025
BiasEdit: Debiasing Stereotyped Language Models via Model Editing NAACL 2025
AnyEdit: Edit Any Knowledge Encoded in Language Models ICML 2025
MLLM can see? Dynamic Correction Decoding for Hallucination Mitigation ICLR 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
Benchmarking Agentic Workflow Generation ICLR 2025
Exploring Model Kinship for Merging Large Language Models EMNLP 2025
EasyEdit2: An Easy-to-use Steering Framework for Editing Large Language Models EMNLP 2025
LightThinker: Thinking Step-by-Step Compression EMNLP 2025
CaKE: Circuit-aware Editing Enables Generalizable Knowledge Learners EMNLP 2025
Knowledge Graph Pooling and Unpooling for Concept Abstraction COLING 2025
OmniThink: Expanding Knowledge Boundaries in Machine Writing through Thinking EMNLP 2025
ZJUKLAB at SemEval-2025 Task 4: Unlearning via Model Merging. ACL 2025
Detoxifying Large Language Models via Knowledge Editing ACL 2024
WISE: Rethinking the Knowledge Memory for Lifelong Model Editing of Large Language Models NIPS 2024
Agent Planning with World Knowledge Model NIPS 2024
Knowledge Circuits in Pretrained Transformers NIPS 2024
Existence Is Chaos: Enhancing 3D Human Motion Prediction with Uncertainty Consideration AAAI 2024
When Do Program-of-Thought Works for Reasoning? AAAI 2024
Editing Language Model-Based Knowledge Graph Embeddings AAAI 2024
SeqGPT: An Out-of-the-Box Large Language Model for Open Domain Sequence Understanding AAAI 2024
AutoAct: Automatic Agent Learning from Scratch for QA via Self-Planning 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 Editing for Large Language Models 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
HyperLoRA: Efficient Cross-task Generalization via Constrained Low-Rank Adapters Generation EMNLP 2024
Tool-Augmented Reward Modeling ICLR 2024
Mol-Instructions: A Large-Scale Biomolecular Instruction Dataset for Large Language Models ICLR 2024
Unveiling the Pitfalls of Knowledge Editing for Large Language Models ICLR 2024
Domain-Agnostic Molecular Generation with Chemical Feedback ICLR 2024
Neighboring Perturbations of Knowledge Editing on Large Language Models 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
Making Language Models Better Tool Learners with Execution Feedback NAACL 2024
Can We Edit Multimodal Large Language Models? EMNLP 2023
Novel Relation Detection: Discovering Unknown Relation Types via Multi-Strategy Self-Supervised Learning EMNLP 2023
Multimodal Analogical Reasoning over Knowledge Graphs ICLR 2023
Schema-adaptable Knowledge Graph Construction EMNLP 2023
Newton–Cotes Graph Neural Networks: On the Time Evolution of Dynamic Systems NIPS 2023
On Analyzing the Role of Image for Visual-Enhanced Relation Extraction (Student Abstract) AAAI 2023
Knowledge Rumination for Pre-trained Language Models EMNLP 2023
Editing Large Language Models IJCNLP 2023
LambdaKG: A Library for Pre-trained Language Model-Based Knowledge Graph Embeddings IJCNLP 2023
Reasoning with Language Model Prompting: A Survey ACL 2023
Class Lifelong Learning for Intent Detection via Structure Consolidation Networks ACL 2023
How to Unleash the Power of Large Language Models for Few-shot Relation Extraction? ACL 2023
SPEECH: Structured Prediction with Energy-Based Event-Centric Hyperspheres ACL 2023
Editing Large Language Models: Problems, Methods, and Opportunities EMNLP 2023
One Model for All Domains: Collaborative Domain-Prefix Tuning for Cross-Domain NER IJCAI 2023
Editing Large Language Models AACL 2023
Multi-Modal Protein Knowledge Graph Construction and Applications (Student Abstract) AAAI 2023
Efficient and Robust Knowledge Graph Construction IJCNLP 2022
Contrastive Demonstration Tuning for Pre-trained Language Models EMNLP 2022
CBLUE: A Chinese Biomedical Language Understanding Evaluation Benchmark ACL 2022
Differentiable Prompt Makes Pre-trained Language Models Better Few-shot Learners ICLR 2022
OntoProtein: Protein Pretraining With Gene Ontology Embedding ICLR 2022
Good Visual Guidance Make A Better Extractor: Hierarchical Visual Prefix for Multimodal Entity and Relation Extraction NAACL 2022
Learning to Ask for Data-Efficient Event Argument Extraction (Student Abstract) AAAI 2022
Efficient and Robust Knowledge Graph Construction AACL 2022
Decoupling Knowledge from Memorization: Retrieval-augmented Prompt Learning NIPS 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
ZJUKLAB at SemEval-2021 Task 4: Negative Augmentation with Language Model for Reading Comprehension of Abstract Meaning SEMEVAL 2021
Contrastive Triple Extraction with Generative Transformer AAAI 2021
OntoED: Low-resource Event Detection with Ontology Embedding ACL 2021
PRGC: Potential Relation and Global Correspondence Based Joint Relational Triple Extraction ACL 2021
ZJUKLAB at SemEval-2021 Task 4: Negative Augmentation with Language Model for Reading Comprehension of Abstract Meaning IJCNLP 2021
Unsupervised Knowledge Graph Alignment by Probabilistic Reasoning and Semantic Embedding IJCAI 2021
Document-level Relation Extraction as Semantic Segmentation IJCAI 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 ACL 2021
OntoED: Low-resource Event Detection with Ontology Embedding IJCNLP 2021
MLBiNet: A Cross-Sentence Collective Event Detection Network IJCNLP 2021
PRGC: Potential Relation and Global Correspondence Based Joint Relational Triple Extraction IJCNLP 2021
Noisy-Labeled NER with Confidence Estimation NAACL 2021
Field Embedding: A Unified Grain-Based Framework for Word Representation NAACL 2021
MLBiNet: A Cross-Sentence Collective Event Detection Network ACL 2021
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
When Low Resource NLP Meets Unsupervised Language Model: Meta-Pretraining then Meta-Learning for Few-Shot Text Classification (Student Abstract) AAAI 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