method
active
method:self-reflection-data-generationSelf-Reflection Data Generation
Technique where the assistant reflects on its own character via 10 reflective prompts, generating 1000 responses per prompt
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Papers (1)
paper
Related by similarity (8)
cosine ≥ 0.65 · no typed edgeEntities in the same semantic neighborhood but without a typed relation to this one — candidates for new edges or unrecognized duplicates.
- 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
- Process of reifying one's identity as an independent self; meditation practices aim to decrease selfing.
- 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
- 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