OmniReasoner: Thinking with Long Audio-Video via Native Tool Use
- URL: http://arxiv.org/abs/2607.19339v1
- Date: Tue, 21 Jul 2026 17:57:50 GMT
- Title: OmniReasoner: Thinking with Long Audio-Video via Native Tool Use
- Abstract summary: We introduce OmniReasoner, a tool-use framework for thinking with long audio-video.<n>It learns to decide whether and where to call a zoom-in tool before answering.<n>TimeAnchor keeps the tool's temporal argument valid and round-trip-consistent across granularities.
- Score: 25.032571988845262
- License: http://creativecommons.org/licenses/by/4.0/
- Abstract: Long audio-video reasoning is difficult for omnimodal LLMs because the decisive evidence is often sparse, cross-modal, and too expensive to preserve with uniformly high-fidelity inputs. We introduce OmniReasoner, a tool-use post-training framework for Thinking with Long Audio-Video: omni-modal LLMs learn, via supervised fine-tuning and reinforcement learning, to decide whether and where to call a zoom-in tool before answering. OmniReasoner first builds a low-cost global preview of the full stream and then, when needed, calls the zoom-in tool with a requested temporal interval for higher-fidelity visual and audio inspection before answering. Because the model observes different sampling granularities before and after this call -- a sparse global preview and a denser local clip -- we introduce TimeAnchor, which keeps the tool's temporal argument valid and round-trip-consistent across these granularities, rather than tied to frame indices from a particular sampling rate. To make this tool-use behavior trainable without expensive manual interval annotation, we build a Temporal Augmented Data Engine that synthesizes tool-use post-training trajectories by video editing and composition. Experiments across omnimodal and video benchmarks show that OmniReasoner improves both answer accuracy and temporal grounding while concentrating high-fidelity computation on informative regions. Code is available at https://github.com/RockyChen0205/OmniReasoner.
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