Author

Wendi Li

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#artificial intelligence May 2026

Hide-and-Seek in Trajectories: Discovering Failure Signals for VLA Runtime Monitoring

This paper proposes Hide-and-Seek, a framework that formulates VLA failure detection as a coarsely supervised learning problem that achieves state-of-the-art multi-task failure detection performance with a practical accuracy--timeliness trade-off under conformal prediction, and generalizes well to both seen and unseen...

S. Park, Wendi Li, Changdae Oh et al. · arXiv.org · 8 citations

Jul 2026

Multi-Agent LLMs Fail to Explore Each Other

This work introduces Multi- Agent Contextual Exploration (MACE), a lightweight framework that explicitly promotes exploration through structured peer selection that substantially improves exploration behavior and downstream task performance and shows theoretically that the value of exploration increases with agent dive...

Hyeong Kyu Choi, Jiatong Li, Wendi Li et al. · arXiv.org · 1 citation