Multi-Agent Reflection

Approach using multiple LLM agents for generation and critique, a key prior approach to improving reflection.

Neighborhood — ranked by edge-count

paper

cosine ≥ 0.65 · no typed edge

Entities in the same semantic neighborhood but without a typed relation to this one — candidates for new edges or unrecognized duplicates.

Reflective Agencyconcept0.807
Intentional agency plus ability to reflectively endorse one's own beliefs, desires, intentions.
Multiscale Agent-Based Modelmethod0.790
Self-reflectionconcept0.786
The ability of reasoning LLMs to review and revise previous reasoning steps during inference
No Reflectionconcept0.775
Reflection level where the model is forced to output an answer immediately without revisiting reasoning.
Enacted Reflectionconcept0.775
Responses that perform the observing act; contrasted with described reflection; scorer rewards enacted over described
Three-Level Reflection Frameworkframework0.764
The paper's proposed categorization of reflection into No Reflection, Intrinsic Reflection, and Triggered Reflection.
Situational Reflectionconcept0.763
The specific form of reflection studied, where a model reflects on reasoning generated by another source.
Computational Reflectionmethod0.762
Programming technique allowing a program to inspect and change its own contents, proposed for fully self-modifying systems.