{
  "id": 17781,
  "url": "https://arxiv.org/abs/2608.06714",
  "title": "The Optimizer Is the Agent: Reasoning-Driven Search across Prompts, Programs, and ML Workflows",
  "summary": "Recent systems for optimizing prompts, programs, and ML workflows typically rely on explicit outer-loop controllers such as evolutionary search, bandits, or textual-gradient methods. We ask a fundamentally different question: how much of this search policy can be internalized by a single tool-using agent? We present ReASearch, a unified framework for reasoning-driven optimization in which the agent autonomously decides what to evaluate, how to diagnose failures, which edits to make, and when to",
  "authors": "Junbo Li, Boyi Liu, Canwen Xu, Yite Wang, Yuxiong He, Zhangyang Wang",
  "category": "research",
  "topics": "regulation,healthcare,agents-autonomy",
  "orgs": null,
  "regions": null,
  "published_at": "2026-08-06T20:00:00.000Z",
  "fetched_at": "2026-08-10T05:10:00.488Z",
  "source_slug": "hf-daily",
  "source_name": "HuggingFace Daily Papers",
  "source_homepage": "https://huggingface.co/papers",
  "ethics_ai_record_url": "https://ethics.ai/record/17781",
  "original_url": "https://arxiv.org/abs/2608.06714",
  "evidence_status": "source-only",
  "attribution": "via ethics.ai"
}