Published: 2022

ReAct: Synergizing Reasoning and Acting in Language Models

CATEGORIES

RISK-BASED PROCESS SAFETY ELEMENTS

Research Summary

Presents ReAct, a prompting pattern that interleaves explicit reasoning with “actions” that query external tools or knowledge sources, improving interpretability and reducing hallucinations compared with reasoning-only prompting. This is highly relevant to PSM because safety decisions must be grounded in authoritative evidence (site procedures, P&IDs, standards/RAGAGEP, incident records, MOC history). ReAct-style prompts naturally support a PSM copilot that (1) reasons about a scenario, (2) retrieves specific evidence, and (3) ties conclusions back to citations from the retrieved material. This pattern improves traceability and supports audit-friendly, evidence-grounded outputs for safety-critical workflows.

AUTHORS

Shunyu Yao; Jeffrey Zhao; Dian Yu; Nan Du; Izhak Shafran; Karthik Narasimhan; Yuan Cao

CITATIONS

S. Yao et al., "ReAct: Synergizing Reasoning and Acting in Language Models," arXiv:2210.03629, Oct. 2022.

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