Xnhyacinth/Awesome-LLM-Long-Context-Modeling
A curated awesome list of research papers and blogs on extending and optimizing long context capabilities in large language models.
Not currently ranked — collecting fresh signals.
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This repository aggregates must-read papers and blog posts on long context modeling for large language models. It covers topics like length extrapolation, context compression, state space models, benchmarks, and evaluation methodologies for handling extended contexts. The collection includes a survey paper and is organized to help researchers track developments in extending LLM context windows and efficiency.
Frequently asked
- What is Xnhyacinth/Awesome-LLM-Long-Context-Modeling?
- A curated awesome list of research papers and blogs on extending and optimizing long context capabilities in large language models.
- Is Awesome-LLM-Long-Context-Modeling open source?
- Yes — Xnhyacinth/Awesome-LLM-Long-Context-Modeling is open source, released under the MIT license.
- How popular is Awesome-LLM-Long-Context-Modeling?
- Xnhyacinth/Awesome-LLM-Long-Context-Modeling has 2.1k stars on GitHub.
- Where can I find Awesome-LLM-Long-Context-Modeling?
- Xnhyacinth/Awesome-LLM-Long-Context-Modeling is on GitHub at https://github.com/Xnhyacinth/Awesome-LLM-Long-Context-Modeling.