This repository maintains a comprehensive collection of academic papers and datasets related to instruction tuning and instruction-following in large language models. It serves as a survey/awesome-list resource for researchers and practitioners studying how to fine-tune LLMs to follow natural language instructions, covering topics like in-context learning, prompt engineering, and alignment techniques. The list is community-driven with contributions welcome.