Apple reframes video caption quality evaluation via multiple-choice QA
Apple ML Research · rss · 2026-09-11
Apple ML Research proposes evaluating video captions through information fidelity rather than reference matching. Existing metrics penalize valid "one-to-many" paraphrases; the new approach tests caption quality via multiple-choice question answering, enabling fine-grained assessment of coverage and accuracy for VLLM captioning.
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