OmniSeek actively retrieves audio and video evidence during multi-turn reasoning

OmniSeek turns an omni-modal language model into an agent that chooses which audio or video interval to inspect next. Its training stack combines 169,725 evidence-grounded trajectories with supervised learning and two-stage reinforcement learning designed to penalize single-modality shortcuts.