Zhaorun Chen

Publication Activity (10 Years)

Years Active: 2021-2024
Publications (10 Years): 13

Top Topics

Reinforcement Learning

Top Venues

Publications

Yiyang Zhou, Zhiyuan Fan, Dongjie Cheng, Sihan Yang, Zhaorun Chen, Chenhang Cui, Xiyao Wang, Yun Li, Linjun Zhang, Huaxiu Yao
Calibrated Self-Rewarding Vision Language Models. CoRR (2024)
Yiming Zhang, Zhuokai Zhao, Zhaorun Chen, Zhili Feng, Zenghui Ding, Yining Sun
RankCLIP: Ranking-Consistent Language-Image Pretraining. CoRR (2024)
Zhaorun Chen, Zhen Xiang, Chaowei Xiao, Dawn Song, Bo Li
AgentPoison: Red-teaming LLM Agents via Poisoning Memory or Knowledge Bases. CoRR (2024)
Zhaorun Chen, Zhuokai Zhao, Zhihong Zhu, Ruiqi Zhang, Xiang Li, Bhiksha Raj, Huaxiu Yao
AutoPRM: Automating Procedural Supervision for Multi-Step Reasoning via Controllable Question Decomposition. CoRR (2024)
Zhaorun Chen, Yichao Du, Zichen Wen, Yiyang Zhou, Chenhang Cui, Zhenzhen Weng, Haoqin Tu, Chaoqi Wang, Zhengwei Tong, Qinglan Huang, Canyu Chen, Qinghao Ye, Zhihong Zhu, Yuqing Zhang, Jiawei Zhou, Zhuokai Zhao, Rafael Rafailov, Chelsea Finn, Huaxiu Yao
MJ-Bench: Is Your Multimodal Reward Model Really a Good Judge for Text-to-Image Generation? CoRR (2024)
Canyu Chen, Baixiang Huang, Zekun Li, Zhaorun Chen, Shiyang Lai, Xiongxiao Xu, Jia-Chen Gu, Jindong Gu, Huaxiu Yao, Chaowei Xiao, Xifeng Yan, William Yang Wang, Philip Torr, Dawn Song, Kai Shu
Can Editing LLMs Inject Harm? CoRR (2024)
Yunpeng Huang, Yaonan Gu, Jingwei Xu, Zhihong Zhu, Zhaorun Chen, Xiaoxing Ma
Securing Reliability: A Brief Overview on Enhancing In-Context Learning for Foundation Models. CoRR (2024)
Zhaorun Chen, Zhuokai Zhao, Hongyin Luo, Huaxiu Yao, Bo Li, Jiawei Zhou
HALC: Object Hallucination Reduction via Adaptive Focal-Contrast Decoding. CoRR (2024)
Zhaorun Chen, Zhuokai Zhao, Zhihong Zhu, Ruiqi Zhang, Xiang Li, Bhiksha Raj, Huaxiu Yao
AutoPRM: Automating Procedural Supervision for Multi-Step Reasoning via Controllable Question Decomposition. NAACL-HLT (2024)
Zhaorun Chen, Binhao Chen, Tairan He, Liang Gong, Chengliang Liu
Progressive Adaptive Chance-Constrained Safeguards for Reinforcement Learning. CoRR (2023)
Shenghan Xie, Liang Gong, Zhaorun Chen, Binhao Chen
Simulation of Real-time Collision-Free Path Planning Method with Deep Policy Network in Human-Robot Interaction Scenario. ICARM (2023)
Zhaorun Chen, Liang Gong, Te Sun, Binhao Chen, Shenghan Xie, David Filliat, Natalia Díaz Rodríguez
Efficient State Representation Learning for Dynamic Robotic Scenarios. CoRR (2021)
Zhaorun Chen, Binhao Chen, Shenghan Xie, Liang Gong, Chengliang Liu, Zhengfeng Zhang, Junping Zhang
Efficiently Training On-Policy Actor-Critic Networks in Robotic Deep Reinforcement Learning with Demonstration-like Sampled Exploration. CoRR (2021)