arXiv (All)
open access
GRUET: Quantifying Uncertainty of Agentic Reasoning-and-Acting Processes
Agents have attracted considerably increasing attention due to the power of executing both Reasoning and Acting (ReAct) in open and dynamic environments. The ReAct process typically exhibits a multi-turn trajectory in which one drives Large Language Models (LLMs) to generate both reasoning chains an
Conceptio Open Archive
Analyze & explore related research in Conceptio
Connect this record directly into your research workflow or AI agent. Explore citations across open repositories, query full text, and export structured proof bundles.
This document is indexed with metadata only: full text is not available in the archive for this record. Open the official source ↗
Related documents
- GRUET: Quantifying Uncertainty of Agentic Reasoning-and-Acting Processes#1028745
- MAS-ProVe: Understanding the Process Verification of Multi-Agent Systems#819295
- MAS-ProVe: Understanding the Process Verification of Multi-Agent Systems#809302
- Answer-Distribution Trajectories: A Stochastic-Dynamics View of LLM Reasoning#986640
- Reasoning or Rambling? Exploring the Effect of Thinking on Agent Persuasion#799887
Record · ID 1051230
Retrieved via Conceptio: every document is proof-bundled with source, license, and retrieval metadata.
Retrieved via Conceptio: every document is proof-bundled with source, license, and retrieval metadata.
Bring this data into your agent: Connect via MCP or API · 20 free credits to start · no card required
Read the Docs → · View CLI source on GitHub · Conceptio Open Knowledge Archive
Read the Docs → · View CLI source on GitHub · Conceptio Open Knowledge Archive