Chen, Yubo

23 publications

ICLR 2026 Explore-on-Graph: Incentivizing Autonomous Exploration of Large Language Models on Knowledge Graphs with Path-Refined Reward Modeling Shiqi Yan, Yubo Chen, Ruiqi Zhou, Zhengxi Yao, Shuai Chen, Tianyi Zhang, Shijie Zhang, Wei-Qiang Zhang, Yongfeng Huang, Haixin Duan, Yunqi Zhang

ICLR 2026 Fixing the Broken Compass: Diagnosing and Improving Inference-Time Reward Modeling Jiachun Li, Pengfei Cao, Zhuoran Jin, Yubo Chen, Jiexin Xu, Huaijun Li, Xiaojian Jiang, Kang Liu, Jun Zhao

ICLR 2026 MMR-Life: Piecing Together Real-Life Scenes for Multimodal Multi-Image Reasoning Jiachun Li, Shaoping Huang, Zhuoran Jin, Chenlong Zhang, Pengfei Cao, Yubo Chen, Kang Liu, Jun Zhao

ICLR 2026 MMR-V: What's Left Unsaid? a Benchmark for Multimodal Deep Reasoning in Videos Kejian Zhu, Zhuoran Jin, Hongbang Yuan, Jiachun Li, Shangqing Tu, Pengfei Cao, Yubo Chen, Kang Liu, Jun Zhao

ICLR 2026 Omni-Reward: Towards Generalist Omni-Modal Reward Modeling with Free-Form Preferences Zhuoran Jin, Hongbang Yuan, Kejian Zhu, Jiachun Li, Pengfei Cao, Yubo Chen, Kang Liu, Jun Zhao

AAAI 2025 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

ICLR 2025 Knowledge Localization: Mission Not Accomplished? Enter Query Localization! Yuheng Chen, Pengfei Cao, Yubo Chen, Kang Liu, Jun Zhao

AAAI 2025 Knowledge in Superposition: Unveiling the Failures of Lifelong Knowledge Editing for Large Language Models Chenhui Hu, Pengfei Cao, Yubo Chen, Kang Liu, Jun Zhao

ICLR 2025 MIRAGE: Evaluating and Explaining Inductive Reasoning Process in Language Models Jiachun Li, Pengfei Cao, Zhuoran Jin, Yubo Chen, Kang Liu, Jun Zhao

NeurIPS 2025 RULE: Reinforcement UnLEarning Achieves Forget-Retain Pareto Optimality Chenlong Zhang, Zhuoran Jin, Hongbang Yuan, Jiaheng Wei, Tong Zhou, Kang Liu, Jun Zhao, Yubo Chen

AAAI 2025 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

ECCV 2024 DIFFender: Diffusion-Based Adversarial Defense Against Patch Attacks Caixin Kang, Yinpeng Dong, Zhengyi Wang, Shouwei Ruan, Yubo Chen, Hang Su, Xingxing Wei

AAAI 2024 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

IJCAI 2024 Oasis: Data Curation and Assessment System for Pretraining of Large Language Models Tong Zhou, Yubo Chen, Pengfei Cao, Kang Liu, Shengping Liu, Jun Zhao

NeurIPS 2024 RWKU: Benchmarking Real-World Knowledge Unlearning for Large Language Models Zhuoran Jin, Pengfei Cao, Chenhao Wang, Zhitao He, Hongbang Yuan, Jiachun Li, Yubo Chen, Kang Liu, Jun Zhao

AAAI 2023 Event Process Typing via Hierarchical Optimal Transport Bo Zhou, Yubo Chen, Kang Liu, Jun Zhao

AAAI 2023 Zero-Shot Cross-Lingual Event Argument Extraction with Language-Oriented Prefix-Tuning Pengfei Cao, Zhuoran Jin, Yubo Chen, Kang Liu, Jun Zhao

ECCV 2022 Contrastive Vision-Language Pre-Training with Limited Resources Quan Cui, Boyan Zhou, Yu Guo, Weidong Yin, Hao Wu, Osamu Yoshie, Yubo Chen

AAAI 2021 CogNet: Bridging Linguistic Knowledge, World Knowledge and Commonsense Knowledge Chenhao Wang, Yubo Chen, Zhipeng Xue, Yang Zhou, Jun Zhao

AAAI 2021 What the Role Is vs. What Plays the Role: Semi-Supervised Event Argument Extraction via Dual Question Answering Yang Zhou, Yubo Chen, Jun Zhao, Yin Wu, Jiexin Xu, Jinlong Li

IJCAI 2020 Knowledge Enhanced Event Causality Identification with Mention Masking Generalizations Jian Liu, Yubo Chen, Jun Zhao

AAAI 2019 Exploiting the Ground-Truth: An Adversarial Imitation Based Knowledge Distillation Approach for Event Detection Jian Liu, Yubo Chen, Kang Liu

AAAI 2018 Event Detection via Gated Multilingual Attention Mechanism Jian Liu, Yubo Chen, Kang Liu, Jun Zhao