PPaperPicks

Huajun Chen

95 papers at tracked venues · 75 at CORE A* · active 20242026

Venues

Frequent coauthors

Papers

  1. ASTRA: Adaptive Semantic Tree Reasoning Architecture for Complex Table Question Answering
  2. Breaking the Modality Barrier: Generative Modeling for Accurate Molecule Retrieval from Mass Spectra
  3. Can We Predict Before Executing Machine Learning Agents?
  4. CoG: Controllable Graph Reasoning via Relational Blueprints and Failure-Aware Refinement over Knowledge Graphs
  5. How Controllable Are Large Language Models? A Unified Evaluation across Behavioral Granularities
  6. Illusions of Confidence? Diagnosing LLM Truthfulness via Neighborhood Consistency
  7. Know the Known and the Unknown: Reasonable Answer Generation with Knowledge-Informed Citations
  8. KnowRL: Exploring Knowledgeable Reinforcement Learning for Factuality
  9. Memp: Exploring Agent Procedural Memory
  10. MolSafeEval: A Benchmark for Uncovering Safety Risks in AI-Generated Molecules
  11. SAFER: Advancing Safety Alignment via Efficient Ex-Ante Reasoning
  12. Structured and Abstractive Reasoning on Multi-modal Relational Knowledge Images
  13. Temp-R1: A Unified Autonomous Agent for Complex Temporal KGQA via Reverse Curriculum Reinforcement Learning
  14. Template-Theorems Graph Construction to Enhance Mathematical Reasoning Capabilities of LLM
  15. Thinker: Training LLMs in Hierarchical Thinking for Deep Search via Multi-Turn Interaction
  16. What Makes AI Research Replicable? Executable Knowledge Graphs as Scientific Knowledge Representations
  17. What's Missing in Screen-to-Action? Towards a UI-in-the-Loop Paradigm for Multimodal GUI Reasoning
  18. Why Do Open-Source LLMs Struggle with Data Analysis? A Systematic Empirical Study
  19. Why Steering Works: Toward a Unified View of Language Model Parameter Dynamics
  20. ADS-Edit: A Multimodal Knowledge Editing Dataset for Autonomous Driving Systems
  21. Abstractive Visual Understanding of Multi-modal Structured Knowledge: A New Perspective for MLLM Evaluation
  22. Agentic Knowledgeable Self-awareness
  23. Benchmarking Agentic Workflow Generation
  24. Beyond Completion: A Foundation Model for General Knowledge Graph Reasoning
  25. Beyond Prompt Engineering: Robust Behavior Control in LLMs via Steering Target Atoms
  26. Boosting LLM's Molecular Structure Elucidation with Knowledge Enhanced Tree Search Reasoning
  27. CKnowEdit: A New Chinese Knowledge Editing Dataset for Linguistics, Facts, and Logic Error Correction in LLMs
  28. CaKE: Circuit-aware Editing Enables Generalizable Knowledge Learners
  29. Client-Server Co-design with Multi-modal Codebooks Makes Better and Faster Federate Knowledge Sharing
  30. Croppable Knowledge Graph Embedding
  31. EasyEdit2: An Easy-to-use Steering Framework for Editing Large Language Models
  32. Enhancing Safe and Controllable Protein Generation via Knowledge Preference Optimization
  33. Enrich-on-Graph: Query-Graph Alignment for Complex Reasoning with LLM Enriching
  34. EventRAG: Enhancing LLM Generation with Event Knowledge Graphs
  35. Exploring Model Kinship for Merging Large Language Models
  36. Have We Designed Generalizable Structural Knowledge Promptings? Systematic Evaluation and Rethinking
  37. HiMoLE: Towards OOD-Robust LoRA via Hierarchical Mixture of Experts
  38. How Do LLMs Acquire New Knowledge? A Knowledge Circuits Perspective on Continual Pre-Training
  39. K-ON: Stacking Knowledge on the Head Layer of Large Language Model
  40. KAG: Boosting LLMs in Professional Domains via Knowledge Augmented Generation
  41. KnowAgent: Knowledge-Augmented Planning for LLM-Based Agents
  42. LightThinker: Thinking Step-by-Step Compression
  43. MLLM can see? Dynamic Correction Decoding for Hallucination Mitigation
  44. Multiple Heads are Better than One: Mixture of Modality Knowledge Experts for Entity Representation Learning
  45. OmniThink: Expanding Knowledge Boundaries in Machine Writing through Thinking
  46. OneKE: A Dockerized Schema-Guided LLM Agent-based Knowledge Extraction System
  47. OntoTune: Ontology-Driven Self-training for Aligning Large Language Models
  48. RTQA : Recursive Thinking for Complex Temporal Knowledge Graph Question Answering with Large Language Models
  49. ReLearn: Unlearning via Learning for Large Language Models
  50. ReSearch: Learning to Reason with Search for LLMs via Reinforcement Learning
  51. RiOT: Efficient Prompt Refinement with Residual Optimization Tree
  52. SKA-Bench: A Fine-Grained Benchmark for Evaluating Structured Knowledge Understanding of LLMs
  53. SaMer: A Scenario-aware Multi-dimensional Evaluator for Large Language Models
  54. Sample-Efficient Human Evaluation of Large Language Models via Maximum Discrepancy Competition
  55. SynWorld: Virtual Scenario Synthesis for Agentic Action Knowledge Refinement
  56. Text-to-Image Generation with Multi-modal Knowledge Graph Construction and Retrieval
  57. Tokenization, Fusion, and Augmentation: Towards Fine-grained Multi-modal Entity Representation
  58. TrustUQA: A Trustful Framework for Unified Structured Data Question Answering
  59. Agent Planning with World Knowledge Model
  60. AutoAct: Automatic Agent Learning from Scratch for QA via Self-Planning
  61. Continual Multimodal Knowledge Graph Construction
  62. DePLM: Denoising Protein Language Models for Property Optimization
  63. Detoxifying Large Language Models via Knowledge Editing
  64. Domain-Agnostic Molecular Generation with Chemical Feedback
  65. EasyEdit: An Easy-to-use Knowledge Editing Framework for Large Language Models
  66. EasyInstruct: An Easy-to-use Instruction Processing Framework for Large Language Models
  67. Editing Conceptual Knowledge for Large Language Models
  68. Editing Language Model-Based Knowledge Graph Embeddings
  69. Enhancing Cross Text-Molecule Learning by Self-Augmentation
  70. FactCHD: Benchmarking Fact-Conflicting Hallucination Detection
  71. IEPile: Unearthing Large Scale Schema-Conditioned Information Extraction Corpus
  72. InBox: Recommendation with Knowledge Graph using Interest Box Embedding
  73. InstructEdit: Instruction-Based Knowledge Editing for Large Language Models
  74. InstructIE: A Bilingual Instruction-based Information Extraction Dataset
  75. InstructProtein: Aligning Human and Protein Language via Knowledge Instruction
  76. Knowledge Circuits in Pretrained Transformers
  77. Knowledge Mechanisms in Large Language Models: A Survey and Perspective
  78. Knowledge-aware Reinforced Language Models for Protein Directed Evolution
  79. Knowledgeable Preference Alignment for LLMs in Domain-specific Question Answering
  80. Learning to Plan for Retrieval-Augmented Large Language Models from Knowledge Graphs
  81. MKGL: Mastery of a Three-Word Language
  82. Making Language Models Better Tool Learners with Execution Feedback
  83. Making Large Language Models Perform Better in Knowledge Graph Completion
  84. Mol-Instructions: A Large-Scale Biomolecular Instruction Dataset for Large Language Models
  85. NativE: Multi-modal Knowledge Graph Completion in the Wild
  86. OceanGPT: A Large Language Model for Ocean Science Tasks
  87. OneEdit: A Neural-Symbolic Collaboratively Knowledge Editing System
  88. OneGen: Efficient One-Pass Unified Generation and Retrieval for LLMs
  89. RaFe: Ranking Feedback Improves Query Rewriting for RAG
  90. Revisit and Outstrip Entity Alignment: A Perspective of Generative Models
  91. To Forget or Not? Towards Practical Knowledge Unlearning for Large Language Models
  92. Unified Hallucination Detection for Multimodal Large Language Models
  93. Unveiling the Pitfalls of Knowledge Editing for Large Language Models
  94. WISE: Rethinking the Knowledge Memory for Lifelong Model Editing of Large Language Models
  95. When Do Program-of-Thought Works for Reasoning?