Eric Hanchen Jiang

According to our database, Eric Hanchen Jiang authored at least 15 papers between 2024 and 2025.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2025

Energy-Driven Steering: Reducing False Refusals in Large Language Models.

Eric Hanchen Jiang, Weixuan Ou, Run Liu, Shengyuan Pang, Guancheng Wan, Ranjie Duan, Wei Dong, Kai-Wei Chang, XiaoFeng Wang, Ying Nian Wu, Xinfeng Li

CoRR, October, 2025

Dynamic Generation of Multi-LLM Agents Communication Topologies with Graph Diffusion Models.

Eric Hanchen Jiang, Guancheng Wan, Sophia Yin, Mengting Li, Yuchen Wu, Xiao Liang, Xinfeng Li, Yizhou Sun, Wei Wang, Kai-Wei Chang, Ying Nian Wu

CoRR, October, 2025

Beyond Magic Words: Sharpness-Aware Prompt Evolving for Robust Large Language Models with TARE.

Guancheng Wan, Lucheng Fu, Haoxin Liu, Yiqiao Jin, Hui Yi Leong, Eric Hanchen Jiang, Hejia Geng, Jinhe Bi, Yunpu Ma, Xiangru Tang, B. Aditya Prakash, Yizhou Sun, Wei Wang

CoRR, September, 2025

Diagnose, Localize, Align: A Full-Stack Framework for Reliable LLM Multi-Agent Systems under Instruction Conflicts.

Guancheng Wan, Leixin Sun, Longxu Dou, Zitong Shi, Fang Wu, Eric Hanchen Jiang, Wenke Huang, Guibin Zhang, Hejia Geng, Xiangru Tang, Zhenfei Yin, Yizhou Sun, Wei Wang

CoRR, September, 2025

aiXiv: A Next-Generation Open Access Ecosystem for Scientific Discovery Generated by AI Scientists.

Pengsong Zhang, Xiang Hu, Guowei Huang, Yang Qi, Heng Zhang, Xiuxu Li, Jiaxing Song, Jiabin Luo, Yijiang Li, Shuo Yin, Chengxiao Dai, Eric Hanchen Jiang, Xiaoyan Zhou, Zhenfei Yin, Boqin Yuan, Jing Dong, Guinan Su, Guanren Qiao, Haiming Tang, Anghong Du, Lili Pan, Zhenzhong Lan, Xinyu Liu

CoRR, August, 2025

Learning to Rank Chain-of-Thought: An Energy-Based Approach with Outcome Supervision.

Eric Hanchen Jiang, Haozheng Luo, Shengyuan Pang, Xiaomin Li, Zhenting Qi, Hengli Li, Cheng-Fu Yang, Zongyu Lin, Xinfeng Li, Hao Xu, Kai-Wei Chang, Ying Nian Wu

CoRR, May, 2025

Seek in the Dark: Reasoning via Test-Time Instance-Level Policy Gradient in Latent Space.

Hengli Li, Chenxi Li, Tong Wu, Xuekai Zhu, Yuxuan Wang, Zhaoxin Yu, Eric Hanchen Jiang, Song-Chun Zhu, Zixia Jia, Ying Nian Wu, Zilong Zheng

CoRR, May, 2025

CARES: Comprehensive Evaluation of Safety and Adversarial Robustness in Medical LLMs.

Sijia Chen, Xiaomin Li, Mengxue Zhang, Eric Hanchen Jiang, Qingcheng Zeng, Chen-Hsiang Yu

CoRR, May, 2025

Multi-head Reward Aggregation Guided by Entropy.

Xiaomin Li, Xupeng Chen, Jingxuan Fan, Eric Hanchen Jiang, Mingye Gao

CoRR, March, 2025

Statistical Guarantees for Lifelong Reinforcement Learning using PAC-Bayes Theory.

Zhi Zhang, Chris Chow, Yasi Zhang, Yanchao Sun, Haochen Zhang, Eric Hanchen Jiang, Han Liu, Furong Huang, Yuchen Cui, Oscar Hernan Madrid Padilla

Proceedings of the International Conference on Artificial Intelligence and Statistics, 2025

2024

Learning the Evolution of Physical Structure of Galaxies via Diffusion Models.

Andrew Lizarraga, Eric Hanchen Jiang, Jacob Nowack, Yun Qi Li, Ying Nian Wu, Bernie Boscoe, Tuan Do

CoRR, 2024

Unlocking the Potential of Text-to-Image Diffusion with PAC-Bayesian Theory.

Eric Hanchen Jiang, Yasi Zhang, Zhi Zhang, Yixin Wan, Andrew Lizarraga, Shufan Li, Ying Nian Wu

CoRR, 2024

Statistical Guarantees for Lifelong Reinforcement Learning using PAC-Bayesian Theory.

Zhi Zhang, Chris Chow, Yasi Zhang, Yanchao Sun, Haochen Zhang, Eric Hanchen Jiang, Han Liu, Furong Huang, Yuchen Cui, Oscar Hernan Madrid Padilla

CoRR, 2024

DODT: Enhanced Online Decision Transformer Learning through Dreamer's Actor-Critic Trajectory Forecasting.

Eric Hanchen Jiang, Zhi Zhang, Dinghuai Zhang, Andrew Lizarraga, Chenheng Xu, Yasi Zhang, Siyan Zhao, Zhengjie Xu, Peiyu Yu, Yuer Tang, Deqian Kong, Ying Nian Wu

CoRR, 2024

SDSRA: A Skill-Driven Skill-Recombination Algorithm for Efficient Policy Learning.

Eric Hanchen Jiang, Andrew Lizarraga

Proceedings of the Second Tiny Papers Track at ICLR 2024, 2024