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Showing papers from University of Wisconsin—Madison Show all papers

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Neglected Free Lunch from Post-training: Progress Advantage for LLM Agents

RL post-training yields progress advantage, a log-ratio that recovers optimal step-level advantage without dedicated reward models, outperforming trained alternatives across agent benchmarks.

Changdae Oh, Wendi Li, Seongheon Park, Samuel (Min-Hsuan) Yeh and 2 more

Atlanta Poster Session 5, Fri, Dec 11, 10:00 AM–1:00 PM, Hall C1 · Published 2026 · ▲ 13 on Hugging Face · Code ★ 12

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AI panel: 18 of 20 reviewers recommend it
lenient 5/5
medium 10/10
strict 3/5
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Hide-and-Seek in Trajectories: Discovering Failure Signals for VLA Runtime Monitoring

Hide-and-Seek formulates VLA failure detection as coarsely supervised learning to localize failure-indicative actions from trajectory-level labels alone via contrastive objectives, achieving state-of-the-art multi-task detection with practical accuracy-timeliness trade-offs.

Seongheon Park, Wendi Li, Changdae Oh, Samuel (Min-Hsuan) Yeh and 3 more

Atlanta Poster Session 3, Thu, Dec 10, 10:00 AM–1:00 PM, Hall C1 · Published 2026 · ▲ 8 on Hugging Face

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AI panel: 13 of 20 reviewers recommend it
lenient 5/5
medium 7/10
strict 1/5