awesome-language-model-analysis

Overview

A curated paper list that surveys theoretical and empirical analyses of language models, with a focus on large language models (LLMs). It organizes research on learning behavior, generalization ability, and other properties, drawing from both theoretical and empirical studies.

Best for

Best for
Researchers and students exploring the theoretical foundations of LLMs

Use cases

• Surveying recent research on LLM learning dynamics and generalization
• Finding papers that combine theoretical analysis with empirical validation
• Tracking open problems in language model analysis

Notes

A curated paper list that surveys theoretical and empirical analyses of language models, with a focus on large language models (LLMs). It organizes research on learning behavior, generalization ability, and other properties, drawing from both theoretical and empirical studies.

100 stars on GitHub. Last updated 2024-12-02. Licensed CC0-1.0.

Use cases

• Surveying recent research on LLM learning dynamics and generalization
• Finding papers that combine theoretical analysis with empirical validation
• Tracking open problems in language model analysis

Pros

• Curated collection saves time searching for relevant papers
• Covers both theory and empirics for a balanced view
• Lightweight, no dependencies beyond a browser

Cons

• Only a list of papers, no code or interactive tools
• Limited to 100 stars, may miss newer or niche work
• No active maintenance or community contributions visible

Indexed from awesome-llm and enriched against its public facts.