method
active
method:self-reflection-data-generation

Self-Reflection Data Generation

Technique where the assistant reflects on its own character via 10 reflective prompts, generating 1000 responses per prompt

Neighborhood — ranked by edge-count

Related by similarity (8)

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.

  • Self-reflectionconcept0.857
    The ability of reasoning LLMs to review and revise previous reasoning steps during inference
  • Technique where a model generates both sides of a conversation as the same persona, producing diverse synthetic training data
  • Selfingconcept0.773
    Process of reifying one's identity as an independent self; meditation practices aim to decrease selfing.
  • No Reflectionconcept0.771
    Reflection level where the model is forced to output an answer immediately without revisiting reasoning.
  • Temperature=0.8 sampled decoding for self-report; reduces collapse moderately but remains discrete and noisy
  • Application domain where VS is evaluated; diversity of synthetic data is shown to improve downstream model performance
  • Self-reportconcept0.765
    The model's verbal description of its internal state, which may be accurate or confabulated.
  • Responses that name or describe the observing act without performing it; negatively correlated with high scores