ChronusAV

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1. 3d
   EVA-Cap aligns audiovisual captions to events, lifting ChronusAV by 9%

   EVA-Cap is a new framework for audiovisual video captioning that decomposes captions into atomic audiovisual events, replacing unstructured text generation with event-centric alignment. The authors train it with supervised fine-tuning and GRPO on a self-curated dataset, EVA-Data, optimizing three event-centric targets: global event completeness, intra-event attribution and inter-event synchronization. The paper reports a 9.0% average gain on ChronusAV event-centric evaluation and a 3.3% gain on the general WorldSense benchmark. It was accepted at NeurIPS 2026, and the code is said to be released at the link given in the paper.

   Hugging Face · Papers · 🔥 0

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