frontier models
The Model Chose When to Look and When to Listen
OmniSeek retrieves short audio or video windows as tools instead of processing every long recording in one pass.
Summary
OmniSeek retrieves short audio or video windows as tools instead of processing every long recording in one pass.
OmniSeek turns evidence acquisition into a multi-turn decision: the model chooses whether to inspect audio or video and which time window to retrieve, then appends the raw segment for further reasoning. Training begins with 170,000 synthesized interleaved trajectories and continues with reinforcement learning that rewards genuinely cross-modal evidence use. The authors report consistent gains across their audio-visual benchmarks, but the result depends on their generated trajectories, tools and evaluation design.
Why it matters
OmniSeek retrieves short audio or video windows as tools instead of processing every long recording in one pass.
Limits and context
No additional limitation was separately recorded.
Key claims
OmniSeek retrieves short audio or video windows as tools instead of processing every long recording in one pass.
Evidence: source-2026-10-03-012
Sources
- arXiv preprint 2610.02181arXiv · primary research
Corrections
No corrections have been recorded for this story.