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AVCap: Reinforcing Audio-Video Joint Caption with Detail-Aware Reward

Research Multimodal & Generative

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TL;DR - AVCap is an arXiv preprint tackling detailed audio-video joint captioning with a new 100K-caption dataset, a reinforcement-learning recipe using detail-aware rewards, and a benchmark/metric for atomic-level evaluation. It matters because coarse rewards and missing fine-grained benchmarks have been the bottleneck for multimodal video understanding and generation.

  • AVCap-100K: 100K temporally aligned, detail-rich audio-video caption pairs, addressing the scarcity of high-quality public audiovisual joint-caption data.
  • Da-GRPO (Detail-Aware GRPO): a GRPO variant with finer-grained reward signals replacing the coarse rewards used in prior RL-based captioning work.
  • Reported results: state-of-the-art among open-source models, matching or surpassing proprietary models on several evaluations (no specific numbers given in the abstract).
  • AVCap-Bench / AVCap-Score: a dedicated benchmark and metric scoring captions at the atomic detail level; code, models, and data released on Hugging Face.

Sources (1)

AVCap: Reinforcing Audio-Video Joint Caption with Detail-Aware Reward

arXiv cs.CV Mingyang Wu, Kaituo Feng, Bohao Li, Kaixiong Gong, Zihao Yin, Xiangyu Yue 2026-08-07 arXiv:2608.06930
Public signals Hugging Face upvotes 1 · Semantic Scholar citations 0 · Semantic Scholar influential citations 0
Providers: Hugging Face · Upvotes 1 OpenAlex · N/A Publisher · N/A Semantic Scholar · Citations 0 · Influential citations 0 X · N/A Fetched 2026-09-09 08:18:12.210092 UTC

TL;DR - AVCap is an arXiv preprint tackling detailed audio-video joint captioning with a new 100K-caption dataset, a reinforcement-learning recipe using detail-aware rewards, and a benchmark/metric for atomic-level evaluation. It matters because coarse rewards and missing fine-grained benchmarks have been the bottleneck for multimodal video understanding and generation.

  • AVCap-100K: 100K temporally aligned, detail-rich audio-video caption pairs, addressing the scarcity of high-quality public audiovisual joint-caption data.
  • Da-GRPO (Detail-Aware GRPO): a GRPO variant with finer-grained reward signals replacing the coarse rewards used in prior RL-based captioning work.
  • Reported results: state-of-the-art among open-source models, matching or surpassing proprietary models on several evaluations (no specific numbers given in the abstract).
  • AVCap-Bench / AVCap-Score: a dedicated benchmark and metric scoring captions at the atomic detail level; code, models, and data released on Hugging Face.
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