{
  "id": 178,
  "url": "https://arxiv.org/abs/2607.05790v1",
  "title": "Controlling Tool Use with Heading-Specific Activation Steering",
  "summary": "Tool-augmented large language models extend their capabilities beyond parametric knowledge through external tools, but tend to invoke them unnecessarily. We investigate whether tool-use decisions have any stable internal representation that can be extracted and manipulated, a question that is non-trivial given that tools exist entirely in context at inference time and have no direct encoding in model weights. We show that steering vectors extracted from heading-anchors positions exert bidirectio",
  "authors": "Yuqi Chen, Vincent Siu, Yang Liu, Dawn Song, Chenguang Wang",
  "category": "research",
  "topics": "finance-investment",
  "orgs": null,
  "regions": null,
  "published_at": "2026-07-07T03:34:42.000Z",
  "fetched_at": "2026-07-14T14:14:19.971Z",
  "source_slug": "arxiv-ethics",
  "source_name": "arXiv",
  "source_homepage": "https://arxiv.org",
  "ethics_ai_record_url": "https://ethics.ai/record/178",
  "original_url": "https://arxiv.org/abs/2607.05790v1",
  "evidence_status": "source-only",
  "attribution": "via ethics.ai"
}