awesome-language-model-analysis

awesome-language-model-analysis

Furyton

This paper list focuses on the theoretical and empirical analysis of language models, especially large language models (LLMs). The papers in this list investigate the learning behavior, generalization ability, and other properties of language models through theoretical analysis, empirical analysis, or a combination of both.

98 Stars
2 Forks
98 Watchers
Python Language
cc0-1.0 License
100 SrcLog Score
Cost to Build
$19.2K
Market Value
$34.8K

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3 data points  ·  2026-04-07 → 2026-04-22
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What is the Furyton/awesome-language-model-analysis GitHub project? Description: "This paper list focuses on the theoretical and empirical analysis of language models, especially large language models (LLMs). The papers in this list investigate the learning behavior, generalization ability, and other properties of language models through theoretical analysis, empirical analysis, or a combination of both.". Written in Python. Explain what it does, its main use cases, key features, and who would benefit from using it.

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