Xnhyacinth/Awesome-LLM-Long-Context-Modeling resource

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2166 stars · 102 forks observed · 2026-08-28

What it is AI-extracted, prompt v1, taxonomy v1, 2026-08-30, confidence not recorded

A curated awesome-list of must-read papers and blogs on long-context modeling for large language models, accompanying a comprehensive arXiv survey (2503.17407). It covers efficient attention, KV-cache optimization, position encoding and length extrapolation, long-context training, long-term memory, RAG, compression, long reasoning, benchmarks, and evaluation.

Use cases

• find papers on long context window LLMs
• research KV cache optimization techniques
• learn about length extrapolation and position encoding
• survey long-context benchmarks and evaluation methods
• find resources on long-term memory for LLM agents
• study state-space models and recurrent transformers for long context
• keep up with new long-context modeling research

When to choose

• you are a researcher or engineer surveying long-context LLM techniques
• you want a curated, categorized reading list with links to papers and blogs
• you need background before building RAG or long-context systems

When to avoid

• you need runnable code or a library rather than a reading list
• you want a general LLM resource list not focused on long context

Facets

learning-resource · maturity active

documentation developer-tools large-language-models artificial-intelligence tutorials awesome-lists awesome-list long-context papers survey kv-cache length-extrapolation state-space-models long-term-memory long-reasoning natural-language-processing web-server

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