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VISTA: Dense Multi-Label Classroom Coding with Vision-Language Models

This story is from 2026-09-07. It is preserved in the archive; the latest stories are on the live feed.

arXiv:2609.04550v1 Announce Type: new Abstract: Video-language benchmarks are usually constructed by the dataset authors without published reliability statistics, leaving the noise floor of the construct unknown. We argue that multimodal benchmarking benefits from methods taken from research commun…

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  1. 2026-09-07 04:00 · arXiv cs.CV
    VISTA: Dense Multi-Label Classroom Coding with Vision-Language Models

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