Vision Model

arXiv paper presents ARIA, a framework that learns to repair LLM multi-agent executions at runtime: An arXiv paper presents Agent Runtime Inspection and Amendment (ARIA), a framework for learning when and how to repair ongoing LLM-based multi-agent executions. It converts execution-verified repairs into reusable supervision, enabling a learned model to intervene at runtime rather than repeatedly testing alternatives.

AI Research • arXiv

MagicLab's EchoPolicy-0 tops AI2's MolmoSpaces board with 75.4% manipulation success: MagicLab said its VLM agent framework EchoPolicy-0 averaged 75.4% across four MolmoSpaces tasks, and AI2's published leaderboard data lists it first. Its MagicBrain component reached 94.4% on the pick task.

AI & Robotics • Pandaily