FIELD NOTES TOPIC
sciknoweval
2 notes, newest first.
DemoPSD: Disagreement-Modulated Policy Self-Distillation
The paper introduces DemoPSD, a novel framework for training large language models (LLMs) that addresses the issues of overfitting, suppression of exploration, cross-domain generalization problems, and privileged…
DemoPSD: Disagreement-Modulated Policy Self-Distillation
DemoPSD is a new framework for training large language models that addresses overfitting, privileged information leakage, and exploration suppression issues in on-policy self-distillation (OPSD). It does this by…
