نسخة أولية وصول مفتوح
Beam Search as Test-Time Self-Distillation via Counterfactual Contexts
Self-Distillation Fine-Tuning (SDFT) enables a language model to act as its own teacher: by conditioning on a demonstration, the model produces an implicit reward via pointwise mutual information, which guides on-policy learning without external supervision. However, SDFT operates at training time: it requires gradient …