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Top AI Repos tracks AI repositories on GitHub and answers two different questions about each one: is it moving right now, and would you bet a product on it.
Top AI Repos tracks AI repositories on GitHub and answers two different questions about each one: is it moving right now, and would you bet a product on it.
📰 Must-read papers and blogs on LLM based Long Context Modeling 🔥
| Date | Stars |
|---|---|
| 2026-07-24 | 2146 |
| 2026-07-25 | 2146 |
| 2026-07-28 | 2146 |
| 2026-07-30 | 2146 |
| 2026-07-31 | 2149 |
| 2026-08-06 | 2149 |
Today
— stars today
This week
+3 stars this week
This month
— stars this month
Momentum
13.0
growth rate 0.14%/day
# Large Language Model Based Long Context Modeling Papers and Blogs <!-- [](https://github.com/Xnhyacinth/Awesome-LLM-Long_Context_Modeling) [](https://opensource.org/licenses/MIT) --> <div align="center"> <p align="center"> <a href="https://arxiv.org/abs/2503.17407">📝 Survey Paper</a> | <a href="#-papers">📄 Paper List</a> | <a href="https://www.notion.so/Huanxuan-Liao-s-Blog-6518cf95f0d54858829b042588ff88bb">📚 Notes</a> | <a href="https://github.com/Xnhyacinth/Awesome-LLM-Long-Context-Modeling">⭐ GitHub</a> </p> </div> <div align="center"> [](https://awesome.re) [](https://github.com/Xnhyacinth/Awesome-LLM-Long-Context-Modeling/blob/main/LICENSE) [](https://github.com/Xnhyacinth/Awesome-LLM-Long-Context-Modeling/commits/main) [](https://github.com/Xnhyacinth/Awesome-LLM-Long-Context-Modeling/stargazers) [](https://github.com/Xnhyacinth/Awesome-LLM-Long-Context-Modeling/forks) [](https://github.com/Xnhyacinth/Awesome-LLM-Long-Context-Modeling/graphs/contributors) [](https://github.com/Xnhyacinth/Awesome-LLM-Long-Context-Modeling) [](https://github.com/Xnhyacinth/Awesome-LLM-Long-Context-Modeling/pulls) [](https://arxiv.org/abs/2503.17407) </div> This repository curates papers and blogs on long-context language modeling, covering surveys; efficient attention; KV-cache optimization; recurrent transformers and state-space models; position encoding & length extrapolation; long-context training; long-term memory; retrieval-augmented generation; in-context learning; context and model compression; long reasoning (long CoT); long video & image; long-horizon agents; long-text generation; inference acceleration; benchmarks & evaluation; and technical reports. 🔥 Must-read papers for LLM-based Long Context Modeling. 🔥⚡🔥 Thanks for all the great contributors on GitHub! 🚀🤝🚀 I have the privilege of joining [**LCLM-Horizon**] and collaborating with them on providing a very complete and comprehensive scholarly survey \([A Comprehensive Survey on Long Context Language Modeling](https://arxiv.org/abs/2503.17407)\) and repository \([A-Comprehensive-Survey-For-Long-Context-Language-Modeling](https://github.com/LCLM-Horizon/A-Comprehensive-Survey-For-Long-Context-Language-Modeling)\) dedicated to **Long Context Language Modeling**. I look forward to collaborating with them to advance research and deepen understanding in this area! <!--Thanks to [**LCLM-Horizon**]\([A-Comprehensive-Survey-For-Long-Context-Language-Modeling](https://github.com/LCLM-Horizon/A-Comprehensive-Survey-For-Long-Context-Language-Modeling)\) for providing a very complete and comprehensive scholarly survey \([A Comprehensive Survey on Long Context Language Modeling]()\) of the field of Long Context Language Modeling. I have joined them and we will collaborate to further research and understanding in this ar
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Zecheng Tang · Soochow University · China
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Enxin Song · University of Pennsylvania · China
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Zhaowei Wang · HKUST · China
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Piotr Nawrot · United Kingdom
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Yuxuan Zhang
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Would you bet a product on this? Bounded 0–100 and slow moving.
matched fp:73281a08931a0d2c, topic:large-language-models, topic:llm, topic:transformer
matched fp:73281a08931a0d2c, topic:benchmark, topic:evaluation