AI EVALUATION, IN CONTEXT.BY EQUALITY MACHINE

Claire Radar

PRISM-Bench

Evaluates text-to-audio-video generation with an audio-centric diagnostic benchmark comprising 900 human-verified samples, factorizing audio evaluation by audio type and sound-source visibility, and assessing four perceptual dimensions via 35 fine-grained criteria using an MLLM-as-a-Judge protocol.

Evidence available for this benchmark

Numeric results have not been collected for this source record. Use the paper, code or dataset below to check the task and experiments; this does not imply that the original work contains no results.

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Cited documents and dates (1)

Catalog collected on 2026-10-14; resources and fields reflect that saved source.

Evaluation context and evidence

Source
Claire Radar
Publisher
Not recorded
Benchmark release
2026-09-04
Collected
2026-10-14
Modality
Not recorded

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Reported results 0

This source record has no numeric results in our collection. That does not mean a score of zero or that no public results exist. Consult the original resources above.