The Role of Feedback Alignment in Self-Distillation
arXiv·low signal
Kara and Ersoy analyze why conditioning a language model on feedback about a previous attempt typically improves its response, and how self-distillation can internalize that improvement. The work is theoretical but touches the mechanics behind agent self-correction and reflection loops. Niche, but potentially foundational for understanding why iterative agent refinement works.