StreamArena: Toward Continuous, Interactive, and Long-Horizon Agentic Streaming Video Understanding
Deploying autonomous multimodal agents in continuous, real-world environments requires them to ingest unbounded audio-visual streams and maintain hour-scale memory. However, current evaluations predominantly rely on brief clips and multiple-choice formats. This design allows minimal baselines that process only the last four frames to match or surpass complex streaming models, while answer options also expose language shortcuts. We introduce StreamArena, a benchmark for hour-scale, interactive st
Record details
Published: 5 August 2026
Source: HuggingFace Daily Papers
Category: Research
Topics: Agents & autonomy · Environment
Retrieved: 10 August 2026
Related evidence
These records share source-supplied organisations, an exact publisher byline, automatic topics or regions. The reason is shown on every link; related does not mean supporting, agreeing with or verifying this record.
Beyond Simply Environment Scaling: Designing Effective Environment Distributions for Multimodal Agent Learning
HuggingFace Daily Papers · 5 August 2026
DCAS: Decoupling CLI Agent Scaffolding to Internalize Planning across Scaffolds
HuggingFace Daily Papers · 5 August 2026
EnvACE: Internalizing Environment Dynamics via World Rehearsal for Agentic Reinforcement Learning
HuggingFace Daily Papers · 5 August 2026
Failing Gracefully: Mitigating Impact of Inevitable Robot Failures
arXiv cs.HC · 5 August 2026
PFEA: a VLM-based high-level natural language planning and feedback embodied agent for human-centered AI
Frontiers in Robotics and AI · 6 August 2026
NSF-HRPT: Neural Semantic Field meets Hierarchical Risk Perception Tree for Safety-Critical Scenario Assessment
arXiv cs.AI · 5 August 2026
How to cite this record
ethics.ai (5 August 2026), “StreamArena: Toward Continuous, Interactive, and Long-Horizon Agentic Streaming Video Understanding,” evidence record 17780, https://ethics.ai/record/17780 (originally published by HuggingFace Daily Papers).
Use and limitations
This page is a stable index and citation surface for a source record. ethics.ai did not author the underlying report and has not independently verified every claim. Automatic topics may be imperfect. For consequential use, quote and cite the original publisher.