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Post-Training VLMs for Video Mistake Detection

Paper recorded by Signals 4 on 2026-08-28 in cs.LG. Abstract reproduced from arXiv; link to the original below.

Published 2026-08-28 on arXiv · recorded by Signals 4 on 2026-08-31

Category: cs.LG · 机器学习 · first seen 2026-08-31

Abstract

Human mistakes are inevitable when following instructions, yet they can lead to severe consequences. As such, there has been an increased interest in developing methods for detecting mistakes in videos, with current methods mostly focusing on closed-set protocols. While successful in controlled settings, the closed-set assumption limits their wider applicability, as any changes to the task require

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#213 most recent of 215 cs.LG papers we have recorded · ↑ newer: SymboLLM-FE: LLM-Accelerated Symbolic Regression for Automated Feature · ↓ older: Timing-Aware Repurchase Prediction for Web-Scale E-Commerce: Survival
Cite this page: Post-Training VLMs for Video Mistake Detection: the #213 most recent of 215 cs.LG papers we have recorded (as of 2026-08-28). Source: Signals 4 (Signals API) — https://data.jiangzhang.ca/signals4/t/papers/post-training-vlms-for-video-mistake-detection.html
Free to quote with attribution to “Signals 4 (Signals API)”. Machine-readable: papers.json
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