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Pengfei Cao

61 papers · 2018–2026 · 9 conferences · across top CS/AI conferences

Achievements

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+12 more ↓ 🌍 Conference Polyglot (9) 🧭 Keyword Pioneer πŸŒ‰ Interdisciplinary Bridge πŸ—ΊοΈ Taxonomy Completionist (10) πŸƒ Academic Marathon (7)
🧭 Keyword Pioneer 🐣 Hot Topic Early Bird 🌍 Conference Polyglot (9) 🀝 Dynamic Duo (56) πŸ”¬ Deep Specialist (14) 🧬 Topic Evolution πŸ† Keyword Champion (3) ❓ The Questioner πŸ—ƒοΈ Keyword Collector (253) πŸ”₯ Unstoppable (6) πŸ’Ž Century Club (57) ⚑ Prolific Year (16)

Conferences

ACL (22) EMNLP (18) AAAI (6) COLING (4) IJCNLP (4) NAACL (3) ICLR (2) IJCAI (1) NIPS (1)

Papers

Bias-Restrained Prefix Representation Finetuning for Mathematical Reasoning AAAI 2026 Do LLMs Know Tool Irrelevance? Demystifying Structural Alignment Bias in Tool Invocations ACL 2026 Look Light, Think Heavy: What Multimodal Chain-of-Thought Reasoning Can and Cannot Do ACL 2026 Empowering GUI Agents via Autonomous Experience Exploration and Hindsight Experience Utilization for Task Planning ACL 2026 Beyond Under-Alignment: Atomic Preference Enhanced Factuality Tuning for Large Language Models NAACL 2025 Knowledge Localization: Mission Not Accomplished? Enter Query Localization! ICLR 2025 M2Edit: Locate and Edit Multi-Granularity Knowledge in Multimodal Large Language Model EMNLP 2025 DTELS: Towards Dynamic Granularity of Timeline Summarization NAACL 2025 MIRAGE: Evaluating and Explaining Inductive Reasoning Process in Language Models ICLR 2025 CITI: Enhancing Tool Utilizing Ability in Large Language Models Without Sacrificing General Performance AAAI 2025 Knowledge in Superposition: Unveiling the Failures of Lifelong Knowledge Editing for Large Language Models AAAI 2025 Towards Robust Knowledge Unlearning: An Adversarial Framework for Assessing and Improving Unlearning Robustness in Large Language Models AAAI 2025 Cracking Factual Knowledge: A Comprehensive Analysis of Degenerate Knowledge Neurons in Large Language Models ACL 2025 The Knowledge Microscope: Features as Better Analytical Lenses than Neurons ACL 2025 Agent-RewardBench: Towards a Unified Benchmark for Reward Modeling across Perception, Planning, and Safety in Real-World Multimodal Agents ACL 2025 A Troublemaker with Contagious Jailbreak Makes Chaos in Honest Towns ACL 2025 Evaluating Personalized Tool-Augmented LLMs from the Perspectives of Personalization and Proactivity ACL 2025 Revealing the Deceptiveness of Knowledge Editing: A Mechanistic Analysis of Superficial Editing ACL 2025 Know-MRI: A Knowledge Mechanisms Revealer&Interpreter for Large Language Models ACL 2025 Towards Better Chain-of-Thought: A Reflection on Effectiveness and Faithfulness ACL 2025 RAG-RewardBench: Benchmarking Reward Models in Retrieval Augmented Generation for Preference Alignment ACL 2025 RWKU: Benchmarking Real-World Knowledge Unlearning for Large Language Models NIPS 2024 Journey to the Center of the Knowledge Neurons: Discoveries of Language-Independent Knowledge Neurons and Degenerate Knowledge Neurons AAAI 2024 Focus on Your Question! Interpreting and Mitigating Toxic CoT Problems in Commonsense Reasoning ACL 2024 MULFE: A Multi-Level Benchmark for Free Text Model Editing ACL 2024 Cutting Off the Head Ends the Conflict: A Mechanism for Interpreting and Mitigating Knowledge Conflicts in Language Models ACL 2024 WilKE: Wise-Layer Knowledge Editor for Lifelong Knowledge Editing ACL 2024 Continual Few-shot Event Detection via Hierarchical Augmentation Networks COLING 2024 Leros: Learning Explicit Reasoning on Synthesized Data for Commonsense Question Answering COLING 2024 Tug-of-War between Knowledge: Exploring and Resolving Knowledge Conflicts in Retrieval-Augmented Language Models COLING 2024 Zero-Shot Cross-Lingual Document-Level Event Causality Identification with Heterogeneous Graph Contrastive Transfer Learning COLING 2024 Whispers that Shake Foundations: Analyzing and Mitigating False Premise Hallucinations in Large Language Models EMNLP 2024 Unlocking the Future: Exploring Look-Ahead Planning Mechanistic Interpretability in Large Language Models EMNLP 2024 LINKED: Eliciting, Filtering and Integrating Knowledge in Large Language Model for Commonsense Reasoning EMNLP 2024 AgentsCourt: Building Judicial Decision-Making Agents with Court Debate Simulation and Legal Knowledge Augmentation EMNLP 2024 Oasis: Data Curation and Assessment System for Pretraining of Large Language Models IJCAI 2024 ZhuJiu-Knowledge: A Fairer Platform for Evaluating Multiple Knowledge Types in Large Language Models NAACL 2024 Complex Event Schema Induction with Knowledge-Enriched Diffusion Model EMNLP 2023 InstructoR: Instructing Unsupervised Conversational Dense Retrieval with Large Language Models EMNLP 2023 LEGO: A Multi-agent Collaborative Framework with Role-playing and Iterative Feedback for Causality Explanation Generation EMNLP 2023 DiffusionSL: Sequence Labeling via Tag Diffusion Process EMNLP 2023 Alignment Precedes Fusion: Open-Vocabulary Named Entity Recognition as Context-Type Semantic Matching EMNLP 2023 Zero-Shot Cross-Lingual Event Argument Extraction with Language-Oriented Prefix-Tuning AAAI 2023 Event Ontology Completion with Hierarchical Structure Evolution Networks EMNLP 2023 ZhuJiu: A Multi-dimensional, Multi-faceted Chinese Benchmark for Large Language Models EMNLP 2023 CogKTR: A Knowledge-Enhanced Text Representation Toolkit for Natural Language Understanding EMNLP 2022 A Good Neighbor, A Found Treasure: Mining Treasured Neighbors for Knowledge Graph Entity Typing EMNLP 2022 LearnDA: Learnable Knowledge-Guided Data Augmentation for Event Causality Identification ACL 2021 Improving Event Causality Identification via Self-Supervised Representation Learning on External Causal Statement ACL 2021 Domain-Lifelong Learning for Dialogue State Tracking via Knowledge Preservation Networks EMNLP 2021 Uncertain Local-to-Global Networks for Document-Level Event Factuality Identification EMNLP 2021 Automatic ICD Coding via Interactive Shared Representation Networks with Self-distillation Mechanism ACL 2021 Knowledge-Enriched Event Causality Identification via Latent Structure Induction Networks ACL 2021 LearnDA: Learnable Knowledge-Guided Data Augmentation for Event Causality Identification IJCNLP 2021 Knowledge-Enriched Event Causality Identification via Latent Structure Induction Networks IJCNLP 2021 Automatic ICD Coding via Interactive Shared Representation Networks with Self-distillation Mechanism IJCNLP 2021 Improving Event Causality Identification via Self-Supervised Representation Learning on External Causal Statement IJCNLP 2021 HyperCore: Hyperbolic and Co-graph Representation for Automatic ICD Coding ACL 2020 Clinical-Coder: Assigning Interpretable ICD-10 Codes to Chinese Clinical Notes ACL 2020 Incremental Event Detection via Knowledge Consolidation Networks EMNLP 2020 Adversarial Transfer Learning for Chinese Named Entity Recognition with Self-Attention Mechanism EMNLP 2018