This repository aggregates research papers on knowledge distillation of LLMs, organized around a formal survey framework. It covers knowledge elicitation methods, distillation algorithms, and skill or vertical distillation approaches for compressing large language models into smaller, efficient variants. The project serves as a weekly-updated academic resource for researchers studying LLM compression and efficient deployment.