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OmniReasoning: Pushing the Limits of Audio-Visual Joint Reasoning research paper by Alibaba (Qwen), 2026

Alibaba (Qwen) · Multimodal and robotics · Sep 30, 2026 · 0 citations · 27 upvotes · unverified

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What it shows

OmniReasoning improves audio-visual joint reasoning through a new benchmark, a data engine, and a self-distillation method for credit assignment.

By Junming Lin, Yuxuan Wang, Zhenxin Lei and 11 more · arXiv 2609.39490 · PDF · Code

UnverifiedSummarised by a model from the abstract; not yet checked by hand.

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About this paper
Venue
arXiv.org
Citations
0, 0 influential · Semantic Scholar
Upvotes
27 · Hugging Face
Lab
Alibaba (Qwen) · on Companies · on Quarterly

Changes

CitationsNov 9, 2026A first count of 0 influential citations.
CitationsNov 9, 2026A first count of 0 citations.
New summaryOct 26, 2026OmniReasoning improves audio-visual joint reasoning through a new benchmark, a data engine, and a self-distillation method for credit assignment.
TopicOct 26, 2026Moved from Reasoning to Multimodal and robotics.
New paperOct 12, 2026Found by the weekly Hugging Face scan; not yet checked by hand.