Eric Hanchen Jiang

21 papers A* 2A 1Journal 17Unranked 1

Year	Rank	Type	Title / Venue / Authors
2026	A*	`conf`	DAWN: Distributed LLM Multi-Agent Workflow Synthesis. AAAI Guancheng Wan, Mo Zhou, Ziyi Wang, Xiaoran Shang, Eric Hanchen Jiang, Guibin Zhang, Jinhe Bi, Yunpu Ma, Zaixi Zhang, Ke Liang, Wenke Huang
2026	A*	`conf`	ENCORE: Entropy-guided Reward Composition for Multi-head Safety Reward Models. AAAI Xiaomin Li, Xupeng Chen, Jingxuan Fan, Eric Hanchen Jiang, Mingye Gao
2026	J	`jnl`	QuantEval: A Benchmark for Financial Quantitative Tasks in Large Language Models. CoRR Zhaolu Kang, Junhao Gong, Wenqing Hu, Shuo Yin, Kehan Jiang, Zhicheng Fang, Yingjie He, Chunlei Meng, Rong Fu, Dongyang Chen, Leqi Zheng, Eric Hanchen Jiang, Yunfei Feng, Yitong Leng, Junfan Zhu, Xiaoyou Chen, Xi Yang, Richeng Xuan
2026	J	`jnl`	Training LLMs for Divide-and-Conquer Reasoning Elevates Test-Time Scalability. CoRR Xiao Liang, Zhong-Zhi Li, Zhenghao Lin, Eric Hanchen Jiang, Hengyuan Zhang, Yelong Shen, Kai-Wei Chang, Ying Nian Wu, Yeyun Gong, Weizhu Chen
2026	J	`jnl`	You Told Me to Do It: Measuring Instructional Text-induced Private Data Leakage in LLM Agents. CoRR Ching-yu Kao, Xinfeng Li, Shenyu Dai, Tianze Qiu, Pengcheng Zhou, Eric Hanchen Jiang, Philip Sperl
2025	J	`jnl`	Beyond Magic Words: Sharpness-Aware Prompt Evolving for Robust Large Language Models with TARE. CoRR 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
2025	J	`jnl`	CARES: Comprehensive Evaluation of Safety and Adversarial Robustness in Medical LLMs. CoRR Sijia Chen, Xiaomin Li, Mengxue Zhang, Eric Hanchen Jiang, Qingcheng Zeng, Chen-Hsiang Yu
2025	J	`jnl`	Diagnose, Localize, Align: A Full-Stack Framework for Reliable LLM Multi-Agent Systems under Instruction Conflicts. CoRR 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
2025	J	`jnl`	Dynamic Generation of Multi-LLM Agents Communication Topologies with Graph Diffusion Models. CoRR 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
2025	J	`jnl`	Energy-Driven Steering: Reducing False Refusals in Large Language Models. CoRR 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
2025	J	`jnl`	Learning to Rank Chain-of-Thought: An Energy-Based Approach with Outcome Supervision. CoRR 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
2025	J	`jnl`	Multi-head Reward Aggregation Guided by Entropy. CoRR Xiaomin Li, Xupeng Chen, Jingxuan Fan, Eric Hanchen Jiang, Mingye Gao
2025	J	`jnl`	Seek in the Dark: Reasoning via Test-Time Instance-Level Policy Gradient in Latent Space. CoRR 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
2025	A	`conf`	Statistical Guarantees for Lifelong Reinforcement Learning using PAC-Bayes Theory. AISTATS Zhi Zhang, Chris Chow, Yasi Zhang, Yanchao Sun, Haochen Zhang, Eric Hanchen Jiang, Han Liu, Furong Huang, Yuchen Cui, Oscar Hernan Madrid Padilla
2025	J	`jnl`	aiXiv: A Next-Generation Open Access Ecosystem for Scientific Discovery Generated by AI Scientists. CoRR 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
2024	J	`jnl`	DODT: Enhanced Online Decision Transformer Learning through Dreamer's Actor-Critic Trajectory Forecasting. CoRR 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
2024	J	`jnl`	Learning the Evolution of Physical Structure of Galaxies via Diffusion Models. CoRR Andrew Lizarraga, Eric Hanchen Jiang, Jacob Nowack, Yun Qi Li, Ying Nian Wu, Bernie Boscoe, Tuan Do
2024	—	`conf`	SDSRA: A Skill-Driven Skill-Recombination Algorithm for Efficient Policy Learning. Tiny Papers @ ICLR Eric Hanchen Jiang, Andrew Lizarraga
2024	J	`jnl`	Statistical Guarantees for Lifelong Reinforcement Learning using PAC-Bayesian Theory. CoRR Zhi Zhang, Chris Chow, Yasi Zhang, Yanchao Sun, Haochen Zhang, Eric Hanchen Jiang, Han Liu, Furong Huang, Yuchen Cui, Oscar Hernan Madrid Padilla
2024	J	`jnl`	Unlocking the Potential of Text-to-Image Diffusion with PAC-Bayesian Theory. CoRR Eric Hanchen Jiang, Yasi Zhang, Zhi Zhang, Yixin Wan, Andrew Lizarraga, Shufan Li, Ying Nian Wu
2023	J	`jnl`	SDSRA: A Skill-Driven Skill-Recombination Algorithm for Efficient Policy Learning. CoRR Eric Hanchen Jiang, Andrew Lizarraga