arXiv (All)
open access
InteractionBench: A Real-Time Interaction Benchmark for Streaming Video Systems
A video assistant must speak when its instruction warrants a response and stay silent otherwise. We introduce a benchmark that evaluates this decision for the complete system of model, memory, and response controller. InteractionBench covers query responses, event triggers, and ongoing updates in 1,
Conceptio Open Archive
Analyze & explore related research in Conceptio
Connect this record directly into your research workflow or AI agent. Explore citations across open repositories, query full text, and export structured proof bundles.
This document is indexed with metadata only: full text is not available in the archive for this record. Open the official source ↗
Related documents
- LiveProBench: Can Streaming Video Models Really Interact Like Humans?#1052283
- From Perception to Prediction and Intervention: Benchmarking Proactive Video Assistants in Real-Life Scenarios#1356904
- Event-Aware Instructed Assistant for Referring Video Segmentation#310864
- STORM-Bench: Evaluating Online Video QA under Evolving and Incomplete Evidence#1105540
- VI-Bench: Benchmarking Prompt Inversion from AIGC Videos#985471
Record · ID 1201788
Retrieved via Conceptio: every document is proof-bundled with source, license, and retrieval metadata.
Retrieved via Conceptio: every document is proof-bundled with source, license, and retrieval metadata.
Bring this data into your agent: Connect via MCP or API · 20 free credits to start · no card required
Read the Docs → · View CLI source on GitHub · Conceptio Open Knowledge Archive
Read the Docs → · View CLI source on GitHub · Conceptio Open Knowledge Archive