| 2026 | AAAI | Bias-Restrained Prefix Representation Finetuning for Mathematical Reasoning. | Sirui Liang, Pengfei Cao, Jian Zhao, Cong Huang, Jun Zhao, Kang Liu |
| 2026 | ACL | Look Light, Think Heavy: What Multimodal Chain-of-Thought Reasoning Can and Cannot Do. | Zhuoran Jin, Kejian Zhu, Hongbang Yuan, Yupu Hao, Pengfei Cao, Yubo Chen, Kang Liu, Jun Zhao |
| 2026 | ACL | Learning How to Remember: A Meta-Cognitive Management Method for Structured and Transferable Agent Memory. | Sirui Liang, Pengfei Cao, Jian Zhao, Wenhao Teng, Xiangwen Liao, Jun Zhao, Kang Liu |
| 2026 | ACL | Lightweight Haar Wavelet Subband Pruning for LLMs. | Jiang Li, Pengfei Cao, Chenxi Zhou, Tian Lan, Xiangdong Su, Kang Liu, Jun Zhao, Guanglai Gao |
| 2026 | ACL | Do LLMs Know Tool Irrelevance? Demystifying Structural Alignment Bias in Tool Invocations. | Yilong Liu, Xixun Lin, Pengfei Cao, Ge Zhang, Fang Fang, Yanan Cao |
| 2026 | ACL | Empowering GUI Agents via Autonomous Experience Exploration and Hindsight Experience Utilization for Task Planning. | Tianyi Men, Zhuoran Jin, Pengfei Cao, Yubo Chen, Kang Liu, Jun Zhao |
| 2026 | ACL | From Signal Degradation to Computation Collapse: Uncovering the Two Failure Modes of LLM Quantization. | Chenxi Zhou, Pengfei Cao, Jiang Li, Bohan Yu, Jinyu Ye, Jun Zhao, Kang Liu |
| 2026 | ACL | Task-Stratified Knowledge Scaling Laws for Post-Training Quantized Large Language Models. | Chenxi Zhou, Pengfei Cao, Jiang Li, Bohan Yu, Jinyu Ye, Jun Zhao, Kang Liu |
| 2025 | AAAI | CITI: Enhancing Tool Utilizing Ability in Large Language Models Without Sacrificing General Performance. | Yupu Hao, Pengfei Cao, Zhuoran Jin, Huanxuan Liao, Yubo Chen, Kang Liu, Jun Zhao |
| 2025 | AAAI | Knowledge in Superposition: Unveiling the Failures of Lifelong Knowledge Editing for Large Language Models. | Chenhui Hu, Pengfei Cao, Yubo Chen, Kang Liu, Jun Zhao |
| 2025 | AAAI | Towards Robust Knowledge Unlearning: An Adversarial Framework for Assessing and Improving Unlearning Robustness in Large Language Models. | Hongbang Yuan, Zhuoran Jin, Pengfei Cao, Yubo Chen, Kang Liu, Jun Zhao |
| 2025 | ACL | Cracking Factual Knowledge: A Comprehensive Analysis of Degenerate Knowledge Neurons in Large Language Models. | Yuheng Chen, Pengfei Cao, Yubo Chen, Yining Wang, Shengping Liu, Kang Liu, Jun Zhao |
| 2025 | ACL | The Knowledge Microscope: Features as Better Analytical Lenses than Neurons. | Yuheng Chen, Pengfei Cao, Kang Liu, Jun Zhao |
| 2025 | ACL | Evaluating Personalized Tool-Augmented LLMs from the Perspectives of Personalization and Proactivity. | Yupu Hao, Pengfei Cao, Zhuoran Jin, Huanxuan Liao, Yubo Chen, Kang Liu, Jun Zhao |
| 2025 | ACL | RAG-RewardBench: Benchmarking Reward Models in Retrieval Augmented Generation for Preference Alignment. | Zhuoran Jin, Hongbang Yuan, Tianyi Men, Pengfei Cao, Yubo Chen, Jiexin Xu, Huaijun Li, Xiaojian Jiang, Kang Liu, Jun Zhao |
| 2025 | ACL | Towards Better Chain-of-Thought: A Reflection on Effectiveness and Faithfulness. | Jiachun Li, Pengfei Cao, Yubo Chen, Jiexin Xu, Huaijun Li, Xiaojian Jiang, Kang Liu, Jun Zhao |
| 2025 | ACL | Know-MRI: A Knowledge Mechanisms Revealer&Interpreter for Large Language Models. | Jiaxiang Liu, Boxuan Xing, Chenhao Yuan, Chenxiang Zhang, Di Wu, Xiusheng Huang, Haida Yu, Chuhan Lang, Pengfei Cao, Jun Zhao, Kang Liu |
| 2025 | ACL | A Troublemaker with Contagious Jailbreak Makes Chaos in Honest Towns. | Tianyi Men, Pengfei Cao, Zhuoran Jin, Yubo Chen, Kang Liu, Jun Zhao |
| 2025 | ACL | Agent-RewardBench: Towards a Unified Benchmark for Reward Modeling across Perception, Planning, and Safety in Real-World Multimodal Agents. | Tianyi Men, Zhuoran Jin, Pengfei Cao, Yubo Chen, Kang Liu, Jun Zhao |
| 2025 | ACL | Revealing the Deceptiveness of Knowledge Editing: A Mechanistic Analysis of Superficial Editing. | Jiakuan Xie, Pengfei Cao, Yubo Chen, Kang Liu, Jun Zhao |
| 2025 | EMNLP | M2Edit: Locate and Edit Multi-Granularity Knowledge in Multimodal Large Language Model. | Yang Zhou, Pengfei Cao, Yubo Chen, Qingbin Liu, Dianbo Sui, Xi Chen, Kang Liu, Jun Zhao |
| 2025 | ICLR | Knowledge Localization: Mission Not Accomplished? Enter Query Localization! | Yuheng Chen, Pengfei Cao, Yubo Chen, Kang Liu, Jun Zhao |
| 2025 | ICLR | MIRAGE: Evaluating and Explaining Inductive Reasoning Process in Language Models. | Jiachun Li, Pengfei Cao, Zhuoran Jin, Yubo Chen, Kang Liu, Jun Zhao |
| 2025 | NAACL | Beyond Under-Alignment: Atomic Preference Enhanced Factuality Tuning for Large Language Models. | Hongbang Yuan, Yubo Chen, Pengfei Cao, Zhuoran Jin, Kang Liu |
| 2025 | NAACL | DTELS: Towards Dynamic Granularity of Timeline Summarization. | Chenlong Zhang, Tong Zhou, Pengfei Cao, Zhuoran Jin, Yubo Chen, Kang Liu, Jun Zhao |
| 2024 | AAAI | Journey to the Center of the Knowledge Neurons: Discoveries of Language-Independent Knowledge Neurons and Degenerate Knowledge Neurons. | Yuheng Chen, Pengfei Cao, Yubo Chen, Kang Liu, Jun Zhao |
| 2024 | ACL | WilKE: Wise-Layer Knowledge Editor for Lifelong Knowledge Editing. | Chenhui Hu, Pengfei Cao, Yubo Chen, Kang Liu, Jun Zhao |
| 2024 | ACL | Cutting Off the Head Ends the Conflict: A Mechanism for Interpreting and Mitigating Knowledge Conflicts in Language Models. | Zhuoran Jin, Pengfei Cao, Hongbang Yuan, Yubo Chen, Jiexin Xu, Huaijun Li, Xiaojian Jiang, Kang Liu, Jun Zhao |
| 2024 | ACL | Focus on Your Question! Interpreting and Mitigating Toxic CoT Problems in Commonsense Reasoning. | Jiachun Li, Pengfei Cao, Chenhao Wang, Zhuoran Jin, Yubo Chen, Daojian Zeng, Kang Liu, Jun Zhao |
| 2024 | ACL | MULFE: A Multi-Level Benchmark for Free Text Model Editing. | Chenhao Wang, Pengfei Cao, Zhuoran Jin, Yubo Chen, Daojian Zeng, Kang Liu, Jun Zhao |
| 2024 | COLING | Zero-Shot Cross-Lingual Document-Level Event Causality Identification with Heterogeneous Graph Contrastive Transfer Learning. | Zhitao He, Pengfei Cao, Zhuoran Jin, Yubo Chen, Kang Liu, Zhiqiang Zhang, Mengshu Sun, Jun Zhao |
| 2024 | COLING | Tug-of-War between Knowledge: Exploring and Resolving Knowledge Conflicts in Retrieval-Augmented Language Models. | Zhuoran Jin, Pengfei Cao, Yubo Chen, Kang Liu, Xiaojian Jiang, Jiexin Xu, Qiuxia Li, Jun Zhao |
| 2024 | COLING | Leros: Learning Explicit Reasoning on Synthesized Data for Commonsense Question Answering. | Chenhao Wang, Pengfei Cao, Jiachun Li, Yubo Chen, Kang Liu, Xiaojian Jiang, Jiexin Xu, Qiuxia Li, Jun Zhao |
| 2024 | COLING | Continual Few-shot Event Detection via Hierarchical Augmentation Networks. | Chenlong Zhang, Pengfei Cao, Yubo Chen, Kang Liu, Zhiqiang Zhang, Mengshu Sun, Jun Zhao |
| 2024 | EMNLP | AgentsCourt: Building Judicial Decision-Making Agents with Court Debate Simulation and Legal Knowledge Augmentation. | Zhitao He, Pengfei Cao, Chenhao Wang, Zhuoran Jin, Yubo Chen, Jiexin Xu, Huaijun Li, Kang Liu, Jun Zhao |
| 2024 | EMNLP | LINKED: Eliciting, Filtering and Integrating Knowledge in Large Language Model for Commonsense Reasoning. | Jiachun Li, Pengfei Cao, Chenhao Wang, Zhuoran Jin, Yubo Chen, Kang Liu, Xiaojian Jiang, Jiexin Xu, Jun Zhao |
| 2024 | EMNLP | Unlocking the Future: Exploring Look-Ahead Planning Mechanistic Interpretability in Large Language Models. | Tianyi Men, Pengfei Cao, Zhuoran Jin, Yubo Chen, Kang Liu, Jun Zhao |
| 2024 | EMNLP | Whispers that Shake Foundations: Analyzing and Mitigating False Premise Hallucinations in Large Language Models. | Hongbang Yuan, Pengfei Cao, Zhuoran Jin, Yubo Chen, Daojian Zeng, Kang Liu, Jun Zhao |
| 2024 | IJCAI | Oasis: Data Curation and Assessment System for Pretraining of Large Language Models. | Tong Zhou, Yubo Chen, Pengfei Cao, Kang Liu, Shengping Liu, Jun Zhao |
| 2024 | NAACL | ZhuJiu-Knowledge: A Fairer Platform for Evaluating Multiple Knowledge Types in Large Language Models. | Pengfan Du, Sirui Liang, Baoli Zhang, Pengfei Cao, Yubo Chen, Kang Liu, Jun Zhao |
| 2023 | AAAI | Zero-Shot Cross-Lingual Event Argument Extraction with Language-Oriented Prefix-Tuning. | Pengfei Cao, Zhuoran Jin, Yubo Chen, Kang Liu, Jun Zhao |
| 2023 | EMNLP | Event Ontology Completion with Hierarchical Structure Evolution Networks. | Pengfei Cao, Yupu Hao, Yubo Chen, Kang Liu, Jiexin Xu, Huaijun Li, Xiaojian Jiang, Jun Zhao |
| 2023 | EMNLP | Complex Event Schema Induction with Knowledge-Enriched Diffusion Model. | Yupu Hao, Pengfei Cao, Yubo Chen, Kang Liu, Jiexin Xu, Huaijun Li, Xiaojian Jiang, Jun Zhao |
| 2023 | EMNLP | LEGO: A Multi-agent Collaborative Framework with Role-playing and Iterative Feedback for Causality Explanation Generation. | Zhitao He, Pengfei Cao, Yubo Chen, Kang Liu, Ruopeng Li, Mengshu Sun, Jun Zhao |
| 2023 | EMNLP | DiffusionSL: Sequence Labeling via Tag Diffusion Process. | Ziyang Huang, Pengfei Cao, Jun Zhao, Kang Liu |
| 2023 | EMNLP | InstructoR: Instructing Unsupervised Conversational Dense Retrieval with Large Language Models. | Zhuoran Jin, Pengfei Cao, Yubo Chen, Kang Liu, Jun Zhao |
| 2023 | EMNLP | Alignment Precedes Fusion: Open-Vocabulary Named Entity Recognition as Context-Type Semantic Matching. | Zhuoran Jin, Pengfei Cao, Zhitao He, Yubo Chen, Kang Liu, Jun Zhao |
| 2023 | EMNLP | ZhuJiu: A Multi-dimensional, Multi-faceted Chinese Benchmark for Large Language Models. | Baoli Zhang, Haining Xie, Pengfan Du, Junhao Chen, Pengfei Cao, Yubo Chen, Shengping Liu, Kang Liu, Jun Zhao |
| 2022 | EMNLP | A Good Neighbor, A Found Treasure: Mining Treasured Neighbors for Knowledge Graph Entity Typing. | Zhuoran Jin, Pengfei Cao, Yubo Chen, Kang Liu, Jun Zhao |
| 2022 | EMNLP | CogKTR: A Knowledge-Enhanced Text Representation Toolkit for Natural Language Understanding. | Zhuoran Jin, Tianyi Men, Hongbang Yuan, Yuyang Zhou, Pengfei Cao, Yubo Chen, Zhipeng Xue, Kang Liu, Jun Zhao |
| 2021 | ACL | Knowledge-Enriched Event Causality Identification via Latent Structure Induction Networks. | Pengfei Cao, Xinyu Zuo, Yubo Chen, Kang Liu, Jun Zhao, Yuguang Chen, Weihua Peng |
| 2021 | ACL | Automatic ICD Coding via Interactive Shared Representation Networks with Self-distillation Mechanism. | Tong Zhou, Pengfei Cao, Yubo Chen, Kang Liu, Jun Zhao, Kun Niu, Weifeng Chong, Shengping Liu |
| 2021 | ACL | LearnDA: Learnable Knowledge-Guided Data Augmentation for Event Causality Identification. | Xinyu Zuo, Pengfei Cao, Yubo Chen, Kang Liu, Jun Zhao, Weihua Peng, Yuguang Chen |
| 2021 | ACL | Improving Event Causality Identification via Self-Supervised Representation Learning on External Causal Statement. | Xinyu Zuo, Pengfei Cao, Yubo Chen, Kang Liu, Jun Zhao, Weihua Peng, Yuguang Chen |
| 2021 | CIKM | Uncertainty-Aware Self-Training for Semi-Supervised Event Temporal Relation Extraction. | Pengfei Cao, Xinyu Zuo, Yubo Chen, Kang Liu, Jun Zhao, Wei Bi |
| 2021 | DASC | Edge Computing: A Systematic Mapping Study. | Huihui Xue, Fei Dai, Guozhi Liu, Pengfei Cao, Bi Huang |
| 2021 | EMNLP | Uncertain Local-to-Global Networks for Document-Level Event Factuality Identification. | Pengfei Cao, Yubo Chen, Yuqing Yang, Kang Liu, Jun Zhao |
| 2021 | EMNLP | Domain-Lifelong Learning for Dialogue State Tracking via Knowledge Preservation Networks. | Qingbin Liu, Pengfei Cao, Cao Liu, Jiansong Chen, Xunliang Cai, Fan Yang, Shizhu He, Kang Liu, Jun Zhao |
| 2020 | ACL | HyperCore: Hyperbolic and Co-graph Representation for Automatic ICD Coding. | Pengfei Cao, Yubo Chen, Kang Liu, Jun Zhao, Shengping Liu, Weifeng Chong |
| 2020 | ACL | Clinical-Coder: Assigning Interpretable ICD-10 Codes to Chinese Clinical Notes. | Pengfei Cao, Chenwei Yan, Xiangling Fu, Yubo Chen, Kang Liu, Jun Zhao, Shengping Liu, Weifeng Chong |
| 2020 | EMNLP | Incremental Event Detection via Knowledge Consolidation Networks. | Pengfei Cao, Yubo Chen, Jun Zhao, Taifeng Wang |
| 2018 | EMNLP | Adversarial Transfer Learning for Chinese Named Entity Recognition with Self-Attention Mechanism. | Pengfei Cao, Yubo Chen, Kang Liu, Jun Zhao, Shengping Liu |
| 2017 | ICA3PP | An Android Malware Detection System Based on Behavior Comparison Analysis. | Jing Tao, Yan Zhang, Pengfei Cao, Zheng Wang, Qiqi Zhao |
| 2017 | ICA3PP | APK-DFS: An Automatic Interaction System Based on Depth-First-Search for APK. | Jing Tao, Qiqi Zhao, Pengfei Cao, Zheng Wang, Yan Zhang |
| 2017 | WCNC | An Approach to 5G Wireless Network Virtualization: Architecture and Trial Environment. | Jianyuan Feng, Qixun Zhang, Guangzhe Dong, Pengfei Cao, Zhiyong Feng |