Haotian Shi — accepted AI-conference papers

2026

CollabBench: Benchmarking and Unleashing Collaborative Ability of LLMs with Diverse Players via Proactive Engagement

Hong Qian, Yuanhao Liu, Zihan Zhou, Zongbao Zhang, Hanjie Ge, Haotian Shi +4

ICML 2026poster

While LLM-based agents excel at individual tasks, effective collaboration with realistic human partners remains challenging. Most of the existing conversation-level collaborative studies lack grounded interaction and behavioral execution, motivating the need for cooperative game environments that en…

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2026

Steerable Adversarial Scenario Generation through Test-Time Preference Alignment

Tong Nie, Yuewen Mei, Yihong Tang, Junlin He, Jie Sun, Haotian Shi +2

ICLR 2026poster

Adversarial scenario generation is a cost-effective approach for safety assessment of autonomous driving systems. However, existing methods are often constrained to a single, fixed trade-off between competing objectives such as adversariality and realism. This yields behavior-specific models that c…

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