Distributionally Robust Unsupervised Dense Retrieval Training on Web Graphs. - Peixuan Han; Zhenghao Liu 001; Zhiyuan Liu 001; Chenyan Xiong (CoRR, 2023)

EscapeBench: Pushing Language Models to Think Outside the Box. - Cheng Qian 008; Peixuan Han; Qinyu Luo; Bingxiang He; Xiusi Chen; Yuji Zhang 002; Hongyi Du; Jiarui Yao; Xiaocheng Yang; Denghui Zhang; Yunzhu Li; Heng Ji 001 (CoRR, 2024)

EscapeBench: Towards Advancing Creative Intelligence of Language Model Agents. - Cheng Qian 008; Peixuan Han; Qinyu Luo; Bingxiang He; Xiusi Chen; Yuji Zhang 002; Hongyi Du; Jiarui Yao; Xiaocheng Yang; Denghui Zhang; Yunzhu Li; Heng Ji 001 (ACL (1), 2025)

Internal Activation as the Polar Star for Steering Unsafe LLM Behavior. - Peixuan Han; Cheng Qian 008; Xiusi Chen; Yuji Zhang 002; Denghui Zhang; Heng Ji 001 (CoRR, 2025)

Time-R1: Towards Comprehensive Temporal Reasoning in LLMs. - Zijia Liu; Peixuan Han; Haofei Yu; Haoru Li; Jiaxuan You (CoRR, 2025)

DecisionFlow: Advancing Large Language Model as Principled Decision Maker. - Xiusi Chen; Shanyong Wang; Cheng Qian 008; Hongru Wang 011; Peixuan Han; Heng Ji 001 (CoRR, 2025)

ToMAP: Training Opponent-Aware LLM Persuaders with Theory of Mind. - Peixuan Han; Zijia Liu; Jiaxuan You (CoRR, 2025)

SafeScientist: Toward Risk-Aware Scientific Discoveries by LLM Agents. - Kunlun Zhu; Jiaxun Zhang; Ziheng Qi; Nuoxing Shang; Zijia Liu; Peixuan Han; Yu Su 001; Haofei Yu; Jiaxuan You (CoRR, 2025)

Energy-Based Transformers are Scalable Learners and Thinkers. - Alexi Gladstone; Ganesh Nanduru; Md Mofijul Islam; Peixuan Han; Hyeonjeong Ha; Aman Chadha; Yilun Du; Heng Ji 001; Jundong Li; Tariq Iqbal (CoRR, 2025)