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Furyton / awesome-language-model-analysis

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.

Why this job: name: awesome; topics: awesome

What it does

This paper list focuses on the theoretical 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 formal/mathematical analysis -- proofs, provable guarantees, bounds, expressivity results, convergence analysis, and similar. Papers that also include supporting experiments still count; purely empirical/observational papers do not.

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Last commit 3 months ago
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CC0-1.0
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100% of the code

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Last 90 days
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More: languages, topics and project record

Languages

  • Python 100%

Topics

  • analytics
  • awesome
  • llm
  • transformers
  • ai
  • analysis
  • chatgpt
  • deep-learning
  • generative-ai
  • large-language-models
  • nlp
  • theory

Project record

  • JobLists and guides
  • StatusListed
  • Commits120
  • Forks2
  • Watching3
  • Stars in 28 days+1
  • CreatedApr 25, 2024
  • First seen by usNov 7, 2026
  • CheckedNov 8, 2026

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