Sage-A1.5: From Long-Horizon Execution to Scientific Exploration with Capability Composition

Key points

• Compared with A1, Sage-A1.5 learns not only to solve individual tasks, but also to organize work and revise its approach during execution.1
• Sage-A1.5 highlights three improvements: agentic orchestration, verification, and open scientific discovery.1
• First, agentic orchestration extends single-agent execution through task delegation and parallel collaboration among subagents with isolated contexts, enabling complex tasks to be decomposed and addressed concurrently and supporting efficient execution while reducing interference across concurrent subagents.1
• Second, agentic verification strengthens long-horizon reliability through progress checking, evidence validation, and reflective strategy revision, allowing the agent to recognize unproductive search paths and pursue alternative approaches.1

Sources (2)

• [1]Sage-A1.5: From Long-Horizon Execution to Scientific Exploration with Capability Composition
  Hugging Face Daily Papers · Oct 20, 12:00 AM

  In this report, we introduce Sage-A1.5, a 35B Mixture-of-Experts agentic model that builds on A1 to advance long-horizon problem solving through adaptive capability composition.

  Compared with A1, Sage-A1.5 learns not only to solve individual tasks, but also to organize work and revise its approach during execution.

• [2]Sage-A1.5: From Long-Horizon Execution to Scientific Exploration with Capability Composition
  arXiv (AI, ML, NLP, CV, robotics, multi-agent) · Oct 20, 05:32 PM · same content

Extractive summary: sentences quoted from the sources.