{
  "id": 4083,
  "url": "https://arxiv.org/abs/2605.19077v1",
  "title": "ReacTOD: Bounded Neuro-Symbolic Agentic NLU for Zero-Shot Dialogue State Tracking",
  "summary": "Task-oriented dialogue systems -- handling transactions, reservations, and service requests -- require predictable behavior, yet the moderately-sized LLMs needed for practical latency are prone to hallucination and format errors that cascade into incorrect actions (e.g., a hotel booked for the wrong date). We propose ReacTOD, a bounded neuro-symbolic architecture that reformulates NLU as discrete tool calls within a self-correcting ReAct loop governed by deterministic validation. A bounded ReAct",
  "authors": "Yanjun Lin, Zimo Xiao, Kartik Natarajan, Mahesh Sankaranarayanan, Niraj Nawanit, Rakshit Parashar et al.",
  "category": "research",
  "topics": "privacy-surveillance,agents-autonomy",
  "orgs": null,
  "regions": null,
  "published_at": "2026-05-18T20:06:04.000Z",
  "fetched_at": "2026-07-14T16:30:45.937Z",
  "source_slug": "arxiv-ethics",
  "source_name": "arXiv",
  "source_homepage": "https://arxiv.org",
  "ethics_ai_record_url": "https://ethics.ai/record/4083",
  "original_url": "https://arxiv.org/abs/2605.19077v1",
  "evidence_status": "source-only",
  "attribution": "via ethics.ai"
}