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AV-FABLE introduces a long-form audio-visual benchmark for sparse manipulation detection, showing that frozen AV-LLM perception features contain forensic signals best recovered by separate temporal decoders (NFSR) rather than language outputs.
EvaOmni 提出了一个证据接地的音视频推理基准，包含 392 个视频和 1,027 个人工标注问答对，要求模型同时返回答案与证据区间，并提出 Coverage Grounded Score 与 Bottleneck Grounded Score 评估推理链；Gemini3.7-Flash 表现最佳，但复杂推理层面的接地定位仍明显不足。
AI Historian is an AI agent system that helps historians organize and verify person-centred temporal clues from dispersed historical narratives, reducing the cost of historical research while achieving high accuracy in temporal localization.
This paper introduces OmniScript, an 8B-parameter omni-modal (audio-visual) language model for a novel video-to-script (V2S) task that generates hierarchical, scene-by-scene scripts from long-form cinematic videos. Trained via progressive pipeline techniques including chain-of-thought SFT and reinforcement learning with temporally segmented rewards, OmniScript outperforms larger open-source models and rivals proprietary models like Gemini 3-Pro.