PPaperPicks

Ningyu Zhang

Zhejiang University, College of Computer Science and Technology, Ant Group Joint Laboratory of Knowledge Graph, Hangzhou, China

64 papers at tracked venues · 46 at CORE A* · active 20242026

Venues

Frequent coauthors

Papers

  1. Can We Predict Before Executing Machine Learning Agents?
  2. How Controllable Are Large Language Models? A Unified Evaluation across Behavioral Granularities
  3. Illusions of Confidence? Diagnosing LLM Truthfulness via Neighborhood Consistency
  4. KnowRL: Exploring Knowledgeable Reinforcement Learning for Factuality
  5. Logical Structure as Knowledge: Enhancing LLM Reasoning via Structured Logical Knowledge Density Estimation
  6. Memp: Exploring Agent Procedural Memory
  7. ReCode: Updating Code API Knowledge with Reinforcement Learning
  8. Towards General Agentic Intelligence via Environment Scaling
  9. U-Fold: Dynamic Intent-Aware Context Folding for User-Centric Agents
  10. What Makes AI Research Replicable? Executable Knowledge Graphs as Scientific Knowledge Representations
  11. Why Do Open-Source LLMs Struggle with Data Analysis? A Systematic Empirical Study
  12. Why Steering Works: Toward a Unified View of Language Model Parameter Dynamics
  13. ADS-Edit: A Multimodal Knowledge Editing Dataset for Autonomous Driving Systems
  14. Agentic Knowledgeable Self-awareness
  15. AnyEdit: Edit Any Knowledge Encoded in Language Models
  16. Benchmarking Agentic Workflow Generation
  17. Beyond Prompt Engineering: Robust Behavior Control in LLMs via Steering Target Atoms
  18. CKnowEdit: A New Chinese Knowledge Editing Dataset for Linguistics, Facts, and Logic Error Correction in LLMs
  19. CaKE: Circuit-aware Editing Enables Generalizable Knowledge Learners
  20. Constraining Sequential Model Editing with Editing Anchor Compression
  21. EasyEdit2: An Easy-to-use Steering Framework for Editing Large Language Models
  22. Exploring Model Kinship for Merging Large Language Models
  23. How Do LLMs Acquire New Knowledge? A Knowledge Circuits Perspective on Continual Pre-Training
  24. KnowAgent: Knowledge-Augmented Planning for LLM-Based Agents
  25. LightThinker: Thinking Step-by-Step Compression
  26. MLLM can see? Dynamic Correction Decoding for Hallucination Mitigation
  27. OmniThink: Expanding Knowledge Boundaries in Machine Writing through Thinking
  28. OneKE: A Dockerized Schema-Guided LLM Agent-based Knowledge Extraction System
  29. RSCC: A Large-Scale Remote Sensing Change Caption Dataset for Disaster Events
  30. ReLearn: Unlearning via Learning for Large Language Models
  31. SynWorld: Virtual Scenario Synthesis for Agentic Action Knowledge Refinement
  32. Two Experts Are All You Need for Steering Thinking: Reinforcing Cognitive Effort in MoE Reasoning Models Without Additional Training
  33. Agent Planning with World Knowledge Model
  34. AutoAct: Automatic Agent Learning from Scratch for QA via Self-Planning
  35. Continual Multimodal Knowledge Graph Construction
  36. Detoxifying Large Language Models via Knowledge Editing
  37. Domain-Agnostic Molecular Generation with Chemical Feedback
  38. EasyEdit: An Easy-to-use Knowledge Editing Framework for Large Language Models
  39. EasyInstruct: An Easy-to-use Instruction Processing Framework for Large Language Models
  40. Editing Conceptual Knowledge for Large Language Models
  41. Editing Language Model-Based Knowledge Graph Embeddings
  42. Existence Is Chaos: Enhancing 3D Human Motion Prediction with Uncertainty Consideration
  43. Exploring Collaboration Mechanisms for LLM Agents: A Social Psychology View
  44. FactCHD: Benchmarking Fact-Conflicting Hallucination Detection
  45. HyperLoRA: Efficient Cross-task Generalization via Constrained Low-Rank Adapters Generation
  46. IEPile: Unearthing Large Scale Schema-Conditioned Information Extraction Corpus
  47. InstructEdit: Instruction-Based Knowledge Editing for Large Language Models
    IJCAI 2024 · Ningyu Zhang
  48. InstructIE: A Bilingual Instruction-based Information Extraction Dataset
  49. Knowledge Circuits in Pretrained Transformers
  50. Knowledge Mechanisms in Large Language Models: A Survey and Perspective
  51. Making Language Models Better Tool Learners with Execution Feedback
  52. Mol-Instructions: A Large-Scale Biomolecular Instruction Dataset for Large Language Models
  53. Neighboring Perturbations of Knowledge Editing on Large Language Models
  54. OceanGPT: A Large Language Model for Ocean Science Tasks
  55. OneEdit: A Neural-Symbolic Collaboratively Knowledge Editing System
    VLDB 2024 · Ningyu Zhang
  56. OneGen: Efficient One-Pass Unified Generation and Retrieval for LLMs
  57. RaFe: Ranking Feedback Improves Query Rewriting for RAG
  58. SeqGPT: An Out-of-the-Box Large Language Model for Open Domain Sequence Understanding
  59. To Forget or Not? Towards Practical Knowledge Unlearning for Large Language Models
  60. Tool-Augmented Reward Modeling
  61. Unified Hallucination Detection for Multimodal Large Language Models
  62. Unveiling the Pitfalls of Knowledge Editing for Large Language Models
  63. WISE: Rethinking the Knowledge Memory for Lifelong Model Editing of Large Language Models
  64. When Do Program-of-Thought Works for Reasoning?