Negative Self-Distillation: A Label-Free Method That Trains LLMs to Explicitly Avoid Flaws
kastnerkyle · x · 2026-09-15
@peirongcan introduces Negative Self-Distillation (NSD), a label-free training approach built on the idea that LLMs can learn to reason not by imitating perfect solutions, but by explicitly learning what not to do. The thread promises details on how NSD trains models to identify and avoid flaws in their own reasoning. Concrete benchmarks are not yet shown in the snippet.
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