Empowering Long-form Omni-modal Understanding with Robust Audio Perception

• URL: http://arxiv.org/abs/2607.10299v1
• Date: Sat, 11 Jul 2026 13:04:24 GMT
• Title: Empowering Long-form Omni-modal Understanding with Robust Audio Perception
• Abstract summary: AVDC (Audio-Visual Decoupled Captions) is a large-scale dataset designed to disentangle visual and auditory semantics.<n>AVDC captures both modality-specific nuances and complex cross-modalinteractions.<n>AVDC-QA-CoT is a Chain-of-Thought augmented question-answering dataset to foster audio-visualreasoning.
• Score: 48.23485436432239
• License: http://arxiv.org/licenses/nonexclusive-distrib/1.0/
• Abstract: Recent advances in large-scale multimodal models have drivenremarkable progress in vision-language tasks; however, comprehensiveomni-modal understanding remains under-explored, largely due to thescarcity of datasets with rich, explicitly aligned auditory cues. To bridgethis gap, we present AVDC (Audio-Visual Decoupled Captions), a large-scaledataset designed to disentangle visual and auditory semantics. Specifi-cally, we propose an automated pipeline that leverages off-the-shelf mod-els to annotate videos with tripartite captions: visual-only (V), audio-only (A), and joint audio-visual (AV). This decoupled structure explic-itly captures both modality-specific nuances and complex cross-modalinteractions. Building upon this, we introduce AVDC-QA-CoT, a Chain-of-Thought augmented question-answering dataset to foster audio-visualreasoning. To fully exploit these resources, we employ a two-stage train-ing paradigm: omni-modal caption generation pre-training on AVDC, fol-lowed by instruction tuning on AVDC-QA-CoT. Extensive experiments acrossdiverse downstream tasks, spanning video captioning, audio-centric anal-ysis, and omni-modal benchmarks, demonstrate consistent and signifi-cant performance gains, showing the efficacy of our proposed datasetsand training strategy in advancing omni-modal perception. Code anddataset are related on https://radiant0726.github.io/AVDC-web/.

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