Ningyu Zhang
- Papers
- 71
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Authored papers
71SciAtlas: A Large-Scale Knowledge Graph for Automated Scientific Research
arXiv 2026
SkillNet: Create, Evaluate, and Connect AI Skills
arXiv 2026
OceanPile: A Large-Scale Multimodal Ocean Corpus for Foundation Models
arXiv 2026
Illusions of Confidence? Diagnosing LLM Truthfulness via Neighborhood Consistency
arXiv 2026
Chat2Workflow: A Benchmark for Generating Executable Visual Workflows with Natural Language
arXiv 2026
InnoEval: On Research Idea Evaluation as a Knowledge-Grounded, Multi-Perspective Reasoning Problem
arXiv 2026
Can We Predict Before Executing Machine Learning Agents?
arXiv 2026
From Data to Behavior: Predicting Unintended Model Behaviors Before Training
arXiv 2026
Aligning Agentic World Models via Knowledgeable Experience Learning
arXiv 2026
Why Steering Works: Toward a Unified View of Language Model Parameter Dynamics
arXiv 2026
LightThinker: Thinking Step-by-Step Compression
arXiv 2025
AutoMind: Adaptive Knowledgeable Agent for Automated Data Science
arXiv 2025
AnyEdit: Edit Any Knowledge Encoded in Language Models
arXiv 2025
Beyond Prompt Engineering: Robust Behavior Control in LLMs via Steering Target Atoms
arXiv 2025
ChineseHarm-Bench: A Chinese Harmful Content Detection Benchmark
arXiv 2025
BiasEdit: Debiasing Stereotyped Language Models via Model Editing
arXiv 2025
LightMem: Lightweight and Efficient Memory-Augmented Generation
arXiv 2025
OceanGym: A Benchmark Environment for Underwater Embodied Agents
arXiv 2025
Executable Knowledge Graphs for Replicating AI Research
arXiv 2025
Scaling Generalist Data-Analytic Agents
arXiv 2025
KnowRL: Exploring Knowledgeable Reinforcement Learning for Factuality
arXiv 2025
ReCode: Updating Code API Knowledge with Reinforcement Learning
arXiv 2025
Agentic Knowledgeable Self-awareness
arXiv 2025
ZJUKLAB at SemEval-2025 Task 4: Unlearning via Model Merging
arXiv 2025
How Do LLMs Acquire New Knowledge? A Knowledge Circuits Perspective on Continual Pre-Training
arXiv 2025
A Multi-Modal AI Copilot for Single-Cell Analysis with Instruction Following
arXiv 2025
Towards Personalized Deep Research: Benchmarks and Evaluations
arXiv 2025
LookAhead Tuning: Safer Language Models via Partial Answer Previews
arXiv 2025
CaKE: Circuit-aware Editing Enables Generalizable Knowledge Learners
arXiv 2025
MemOS: A Memory OS for AI System
arXiv 2025
EasyEdit2: An Easy-to-use Steering Framework for Editing Large Language Models
arXiv 2025
OmniThink: Expanding Knowledge Boundaries in Machine Writing through Thinking
arXiv 2025
SynWorld: Virtual Scenario Synthesis for Agentic Action Knowledge Refinement
arXiv 2025
A Comprehensive Survey in LLM(-Agent) Full Stack Safety: Data, Training and Deployment
arXiv 2025
Unified Hallucination Detection for Multimodal Large Language Models
arXiv 2024
EasyInstruct: An Easy-to-use Instruction Processing Framework for Large Language Models
arXiv 2024
AutoAct: Automatic Agent Learning from Scratch for QA via Self-Planning
arXiv 2024
IEPile: Unearthing Large-Scale Schema-Based Information Extraction Corpus
arXiv 2024
Agent Planning with World Knowledge Model
arXiv 2024
OneKE: A Dockerized Schema-Guided LLM Agent-based Knowledge Extraction System
arXiv 2024
Benchmarking Agentic Workflow Generation
arXiv 2024
Knowledge Circuits in Pretrained Transformers
arXiv 2024
OneGen: Efficient One-Pass Unified Generation and Retrieval for LLMs
arXiv 2024
ChatCell: Facilitating Single-Cell Analysis with Natural Language
arXiv 2024
To Forget or Not? Towards Practical Knowledge Unlearning for Large Language Models
arXiv 2024
Exploring Model Kinship for Merging Large Language Models
arXiv 2024
Symbolic Learning Enables Self-Evolving Agents
arXiv 2024
Knowledge Graphs Meet Multi-Modal Learning: A Comprehensive Survey
arXiv 2024
KnowAgent: Knowledge-Augmented Planning for LLM-Based Agents
arXiv 2024
Editing Language Model-based Knowledge Graph Embeddings
arXiv 2023
InstructIE: A Bilingual Instruction-based Information Extraction Dataset
arXiv 2023
LLMs for Knowledge Graph Construction and Reasoning: Recent Capabilities and Future Opportunities
arXiv 2023
SeqGPT: An Out-of-the-box Large Language Model for Open Domain Sequence Understanding
arXiv 2023
Domain-Agnostic Molecular Generation with Chemical Feedback
arXiv 2023
Exploring Collaboration Mechanisms for LLM Agents: A Social Psychology View
arXiv 2023
FactCHD: Benchmarking Fact-Conflicting Hallucination Detection
arXiv 2023
Tool-Augmented Reward Modeling
arXiv 2023
Making Language Models Better Tool Learners with Execution Feedback
arXiv 2023
Unveiling the Pitfalls of Knowledge Editing for Large Language Models
arXiv 2023
Schema-adaptable Knowledge Graph Construction
arXiv 2023
How to Unleash the Power of Large Language Models for Few-shot Relation Extraction?
arXiv 2023
When Do Program-of-Thoughts Work for Reasoning?
arXiv 2023
Mol-Instructions: A Large-Scale Biomolecular Instruction Dataset for Large Language Models
arXiv 2023
Newton-Cotes Graph Neural Networks: On the Time Evolution of Dynamic Systems
arXiv 2023
Contrastive Demonstration Tuning for Pre-trained Language Models
arXiv 2022
Reasoning with Language Model Prompting: A Survey
arXiv 2022
Towards Realistic Low-resource Relation Extraction: A Benchmark with Empirical Baseline Study
arXiv 2022
Multimodal Analogical Reasoning over Knowledge Graphs
arXiv 2022
Generative Knowledge Graph Construction: A Review
arXiv 2022
LaKo: Knowledge-driven Visual Question Answering via Late Knowledge-to-Text Injection
arXiv 2022
LightNER: A Lightweight Tuning Paradigm for Low-resource NER via Pluggable Prompting
COLING 2022 10
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