Pengfei Cao
58 papers · 2018–2026 · 9 venues · across top CS/AI venues
Authors are matched by name, so researchers who share a name ("Yang Liu", "Wei Wang") appear as a single profile and their paper counts, venues and achievements are combined. How identity is handled.
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The Questioner
(2)
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Research topics
Artificial Intelligence
(40)
Core AI
(37)
Natural Language Processing
(35)
Machine Learning
(28)
Deep Learning
(24)
Resources & Methods
(23)
Learning Types Β· Machine Learning
(19)
Applications
(13)
Learning Types Β· Deep Learning
(12)
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(8)
Models
(8)
Core Methods
(6)
Knowledge & Reasoning
(5)
Architectures
(5)
Understanding
(5)
Keywords
large language model
(21)
knowledge editing
(8)
knowledge graph
(6)
attention mechanism
(5)
knowledge distillation
(5)
language model
(4)
factual knowledge
(4)
knowledge neuron
(3)
event detection
(3)
icd coding
(3)
attention head
(3)
adversarial attack
(3)
zero-shot learning
(3)
knowledge unlearning
(3)
commonsense reasoning
(3)
contrastive learning
(3)
named entity recognition
(3)
benchmark evaluation
(3)
event causality identification
(3)
model editing
(2)
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
Empowering GUI Agents via Autonomous Experience Exploration and Hindsight Experience Utilization for Task Planning
ACL 2026
Look Light, Think Heavy: What Multimodal Chain-of-Thought Reasoning Can and Cannot Do
ACL 2026
SemEval-2026 Task 12: Abductive Event Reasoning: Towards Real-World Event Causal Inference for Large Language Models
SemEval 2026
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
Beyond Under-Alignment: Atomic Preference Enhanced Factuality Tuning for Large Language Models
NAACL 2025
CITI: Enhancing Tool Utilizing Ability in Large Language Models Without Sacrificing General Performance
AAAI 2025
Cracking Factual Knowledge: A Comprehensive Analysis of Degenerate Knowledge Neurons in Large Language Models
ACL 2025
DTELS: Towards Dynamic Granularity of Timeline Summarization
NAACL 2025
Evaluating Personalized Tool-Augmented LLMs from the Perspectives of Personalization and Proactivity
ACL 2025
Knowledge in Superposition: Unveiling the Failures of Lifelong Knowledge Editing for Large Language Models
AAAI 2025
Knowledge Localization: Mission Not Accomplished? Enter Query Localization!
ICLR 2025
Know-MRI: A Knowledge Mechanisms Revealer&Interpreter for Large Language Models
ACL 2025
M2Edit: Locate and Edit Multi-Granularity Knowledge in Multimodal Large Language Model
EMNLP 2025
MIRAGE: Evaluating and Explaining Inductive Reasoning Process in Language Models
ICLR 2025
RAG-RewardBench: Benchmarking Reward Models in Retrieval Augmented Generation for Preference Alignment
ACL 2025
Revealing the Deceptiveness of Knowledge Editing: A Mechanistic Analysis of Superficial Editing
ACL 2025
The Knowledge Microscope: Features as Better Analytical Lenses than Neurons
ACL 2025
Towards Better Chain-of-Thought: A Reflection on Effectiveness and Faithfulness
ACL 2025
Towards Robust Knowledge Unlearning: An Adversarial Framework for Assessing and Improving Unlearning Robustness in Large Language Models
AAAI 2025
AgentsCourt: Building Judicial Decision-Making Agents with Court Debate Simulation and Legal Knowledge Augmentation
EMNLP 2024
Continual Few-shot Event Detection via Hierarchical Augmentation Networks
COLING 2024
Cutting Off the Head Ends the Conflict: A Mechanism for Interpreting and Mitigating Knowledge Conflicts in Language Models
ACL 2024
Focus on Your Question! Interpreting and Mitigating Toxic CoT Problems in Commonsense Reasoning
ACL 2024
Journey to the Center of the Knowledge Neurons: Discoveries of Language-Independent Knowledge Neurons and Degenerate Knowledge Neurons
AAAI 2024
Leros: Learning Explicit Reasoning on Synthesized Data for Commonsense Question Answering
COLING 2024
LINKED: Eliciting, Filtering and Integrating Knowledge in Large Language Model for Commonsense Reasoning
EMNLP 2024
MULFE: A Multi-Level Benchmark for Free Text Model Editing
ACL 2024
Oasis: Data Curation and Assessment System for Pretraining of Large Language Models
IJCAI 2024
RWKU: Benchmarking Real-World Knowledge Unlearning for Large Language Models
NeurIPS 2024
Tug-of-War between Knowledge: Exploring and Resolving Knowledge Conflicts in Retrieval-Augmented Language Models
COLING 2024
Unlocking the Future: Exploring Look-Ahead Planning Mechanistic Interpretability in Large Language Models
EMNLP 2024
Whispers that Shake Foundations: Analyzing and Mitigating False Premise Hallucinations in Large Language Models
EMNLP 2024
WilKE: Wise-Layer Knowledge Editor for Lifelong Knowledge Editing
ACL 2024
Zero-Shot Cross-Lingual Document-Level Event Causality Identification with Heterogeneous Graph Contrastive Transfer Learning
COLING 2024
ZhuJiu-Knowledge: A Fairer Platform for Evaluating Multiple Knowledge Types in Large Language Models
NAACL 2024
Alignment Precedes Fusion: Open-Vocabulary Named Entity Recognition as Context-Type Semantic Matching
EMNLP 2023
Complex Event Schema Induction with Knowledge-Enriched Diffusion Model
EMNLP 2023
DiffusionSL: Sequence Labeling via Tag Diffusion Process
EMNLP 2023
Event Ontology Completion with Hierarchical Structure Evolution Networks
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
Zero-Shot Cross-Lingual Event Argument Extraction with Language-Oriented Prefix-Tuning
AAAI 2023
ZhuJiu: A Multi-dimensional, Multi-faceted Chinese Benchmark for Large Language Models
EMNLP 2023
A Good Neighbor, A Found Treasure: Mining Treasured Neighbors for Knowledge Graph Entity Typing
EMNLP 2022
CogKTR: A Knowledge-Enhanced Text Representation Toolkit for Natural Language Understanding
EMNLP 2022
Automatic ICD Coding via Interactive Shared Representation Networks with Self-distillation Mechanism
ACL 2021
Domain-Lifelong Learning for Dialogue State Tracking via Knowledge Preservation Networks
EMNLP 2021
Improving Event Causality Identification via Self-Supervised Representation Learning on External Causal Statement
ACL 2021
Knowledge-Enriched Event Causality Identification via Latent Structure Induction Networks
ACL 2021
LearnDA: Learnable Knowledge-Guided Data Augmentation for Event Causality Identification
ACL 2021
Uncertain Local-to-Global Networks for Document-Level Event Factuality Identification
EMNLP 2021
Clinical-Coder: Assigning Interpretable ICD-10 Codes to Chinese Clinical Notes
ACL 2020
HyperCore: Hyperbolic and Co-graph Representation for Automatic ICD Coding
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