RenzeLou/awesome-instruction-learning
A curated reading list of research papers and datasets on instruction tuning and following for large language models.
Not currently ranked — collecting fresh signals.
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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.
Frequently asked
- What is RenzeLou/awesome-instruction-learning?
- A curated reading list of research papers and datasets on instruction tuning and following for large language models.
- Is awesome-instruction-learning open source?
- Yes — RenzeLou/awesome-instruction-learning is open source, released under the MIT license.
- What language is awesome-instruction-learning written in?
- RenzeLou/awesome-instruction-learning is primarily written in Python.
- How popular is awesome-instruction-learning?
- RenzeLou/awesome-instruction-learning has 512 stars on GitHub.
- Where can I find awesome-instruction-learning?
- RenzeLou/awesome-instruction-learning is on GitHub at https://github.com/RenzeLou/awesome-instruction-learning.