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Evidence-Backed Video Question Answering pushes Video LLMs from black-box answers to grounded evidence
An arXiv paper (2607.11862) by Wang, Zhou, Wang et al. targets a core reliability gap: current Video LLMs answer well but as black boxes, offering no traceable evidence for their claims. The work proposes producing answers backed by the specific supporting video evidence, a pattern that matters for multimodal agents that must justify actions or defend outputs to a verifier. It's an incremental but useful step toward auditable perception in agentic pipelines.
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