Omni-InteractScope benchmarks proactive interaction in continuous omnimodal streams
Qwen · hf · 2026-10-28
HKUST(GZ), Alibaba Token Hub, SJTU and collaborators introduce Omni-InteractScope, benchmarking how reliably Omni-LLMs deliver proactive, agentic interventions over continuous audiovisual streams.
- 1,479 human-annotated, cross-reviewed interactions across 1,799 temporal targets and eight task groups
- Links input modalities, event triggers, intervention types, and user needs, covering event-timed tool invocation and query-free assistance (notifications, warnings, state tracking, sustained guidance)
- Finding: current Omni-LLMs struggle with timely tool use, query-free reminders, and sustained guidance
A benchmark targeting real pain points of always-on omnimodal assistants.
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