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Execution Logs Sway VLM Judges of Robot Progress
Weiyan Zhao, Sunny Yang

Execution Logs Sway VLM Judges of Robot Progress

Author / Organization:
Computer Science & Mathematics Published 2026 Verification Pending

Overview & Synopsis

Vision-language models now grade robot videos, and text placed beside the frames can change their verdicts. On clips where the robot is losing progress, we add one log line saying the robot is making progress. Across Gemini, Qwen and GPT judges, this flips correct verdicts to progress 10 to 35 percentage points more often than a neutral line does. A one-line warning that the log may be wrong removes most of this effect. Selected fake "task complete" claims flip half of Qwen's correct verdicts, against a tenth for unrelated log lines. They have no detectable effect on Gemini.

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Indexed from repository: arXiv (arxiv.org)
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Document Information

Document Title Execution Logs Sway VLM Judges of Robot Progress
Author / Organization Weiyan Zhao, Sunny Yang
Subject & Discipline cs.LG
Categories Computer Science & Mathematics
Publication Year 2026
License / Rights arXiv Open Access / Creative Commons
Resource Verification Listed PDF (Verification Pending)
Original Host Website arXiv (arxiv.org)
File Format application/pdf (Portable Document Format)
Language EN
Catalog ID DOC-8999
Original Source Link Visit Source Page on arxiv.org »