Author

Biao Wang

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Preprint Oct 2026

OmniCapBench: A Deep-Structured Evaluation Framework for Fine-Grained Audio-Visual Captioning

Multimodal large language models (MLLMs) are rapidly evolving toward continuous audio--visual reasoning, creating an urgent need for evaluations that expose their capability limits. Audio--visual captioning is an ideal diagnostic task, yet current benchmarks face a coupled trade-off: whole-caption scores provide covera...

Zhongyu Yang, Jia-Le Tao, Rui-Tao Chen et al. · 0 citations

Preprint Sep 2026

ORAV: Benchmarking Audio-Video Generation from Multimodal Contexts

Audio-video generation using heterogeneous multimodal references has emerged as a new challenge, requiring both compositional control over generation and grounded understanding of multimodal context. In this paper, we introduce ORAV Bench for Omni Reference Audio-Video Generation, comprising 380 task instances with 2-1...

Jia-Cheng Hua, Xiao-Kun Feng, Jia-Qi Hua et al. · 0 citations