Confidence Reasoning Graphs: Structured Confidence Estimation for LLM Agents
cs.AI, cs.CL
Submitted: 2026-10-06
Updated: 2026-10-06
Code: https://github.com/megagonlabs/crg
Sources
- Beyond Single-Turn Confidence: Trajectory-Adapted Uncertainty Quantification for LLM Agents
- UProp: Investigating the Uncertainty Propagation of LLMs in Multi-Step Agentic Decision-Making
- DecMetrics: Structured Claim Decomposition Scoring for Factually Consistent LLM Outputs
- Explainable Compliance Detection with Multi-Hop Natural Language Inference on Assurance Case Structure
- Evaluating Assurance Cases as Text-Attributed Graphs for Structure and Provenance Analysis
- MiniMax Sparse Attention
- SkillsBench: Benchmarking How Well Agent Skills Work Across Diverse Tasks
- EnterpriseOps-Gym: Environments and Evaluations for Stateful Agentic Planning and Tool Use in Enterprise Settings
- When Agents Disagree With Themselves: Behavioral Consistency as an Uncertainty Signal for LLM Agents
- Llamas Know What GPTs Don't Show: Surrogate Models for Confidence Estimation
- The OpenHands Software Agent SDK: A Composable and Extensible Foundation for Production Agents
- BAS: A Decision-Theoretic Approach to Evaluating Large Language Model Confidence
- SWE-smith: Scaling Data for Software Engineering Agents
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