GRUET: Quantifying Uncertainty of Agentic Reasoning-and-Acting Processes
cs.AI
Submitted: 2026-09-21
Updated: 2026-09-21
Code: https://github.com/IINemo/lm-polygraph
License: http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Terminology
Sources
- Program Synthesis with Large Language Models
- Towards Reasoning Era: A Survey of Long Chain-of-Thought for Reasoning Large Language Models
- UProp: Investigating the Uncertainty Propagation of LLMs in Multi-Step Agentic Decision-Making
- Deep Think with Confidence
- Language Models (Mostly) Know What They Know
- Uncertainty Quantification in LLM Agents: Foundations, Emerging Challenges, and Opportunities
- The Origins of Stochasticity: Comprehensive Investigations on Uncertainty Quantification for Large Language Models
- Agents of Chaos
- Confidence Estimation for LLMs in Multi-turn Interactions
- Agentic Uncertainty Quantification
- Agentic Confidence Calibration
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