Evaluating Video Caption Quality via Multiple-Choice Question Answering
September 10, 2026
A new evaluation framework replaces reference-matching metrics with a multiple-choice question answering paradigm to measure information fidelity. This method addresses the one-to-many problem in video description, where valid captions are often penalized by traditional lexical metrics.
HOW THIS AFFECTS YOU
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researcherYou can use this QA-based metric to better assess the semantic coverage and visual fidelity of your VLLM outputs.