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SEAM: Semantically Equivalent Across Modalities Benchmark for Vision-Language Models

SEAM: Semantically Equivalent Across Modalities Benchmark for Vision-Language Models

Zhenwei Tang
Difan Jiao
Blair Yang
Ashton Anderson
ArXiv (abs)PDFHTMLHuggingFace (9 upvotes)Github (5991★)

Papers citing "SEAM: Semantically Equivalent Across Modalities Benchmark for Vision-Language Models"

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Title
ChessQA: Evaluating Large Language Models for Chess Understanding
ChessQA: Evaluating Large Language Models for Chess Understanding
Qianfeng Wen
Zhenwei Tang
Ashton Anderson
ELMLRM
117
0
0
28 Oct 2025