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Is Your Video Language Model a Reliable Judge?
2025-01-22
· ICLR 2025 Poster ·
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Findings
IC-464
Video-LLaVA and Llama-VID systematically overestimate candidate VLM scores, assigning ratings near 4.00 across all visual dimensions and showing near-zero or negative agreement with a reference-guided agent-debate method
IC-465
GPT-4o achieves the highest weighted Cohen's kappa agreement with a reference-guided agent-debate method among all VLM judges, with scores exceeding 50 in several visual dimensions
IC-466
GPT-4o's evaluation reliability degrades when used as the final judge in a collective thought pipeline that aggregates reviews from less reliable VLMs