Benchmark RadarStreamArena
StreamArena evaluates hour-scale streaming video understanding across 243 full-length videos (avg 88.8 min) with 3,646 open-ended QA pairs, covering real-time perception, historical retrospection, proactive interaction, and multimodal tool use. Includes a standardized runner and LLM-as-judge scorer.
- Released
- 2026-08-06
- Readiness
- Runnable
- Primary field
- General AI
Why it matters
Addresses the lack of benchmarks for long-horizon, interactive streaming video understanding, where short clips and multiple-choice formats allow shortcuts. Provides a rigorous, open-ended evaluation to assess progress in continuous, interactive multimodal agents.
Motivation
Deploying autonomous multimodal agents in continuous, real-world environments requires them to ingest unbounded audio-visual streams and maintain hour-scale memory.
Primary resources
Benchmark Radar records only publicly supported details and links back to primary sources for verification.