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3 results for “self-reflection”
NeSyFS: A Neuro-symbolic Fast-Slow Thinking Framework for LLM Agent under Partial Observability
A new neuro-symbolic framework called NeSyFS is proposed to improve LLM agent decision-making under partial observability by integrating fast-reactive and slow-reflective reasoning modules with a knowledge graph–based belief state representation.
Aug 3, 2026
When Does In-Context Search Help? A Sampling-Complexity Theory of Reflection-Driven Reasoning
A theoretical paper introduces a sampling-complexity framework to explain when and why in-context search—iterative generation, critique, and revision in LLMs—yields exponential performance gains over zero-shot reasoning.
Jul 10, 2026
Know When to Stop: Segment-Level Credit Assignment for Reducing Overthinking
Researchers propose a method to reduce overthinking in language models by assigning credit to intermediate answer commitments.
Published Jul 2, 2026 · Analyzed Jul 5, 2026