bettyguo/awesome-llm-reasoning-foundations
A curated, rigorously-verified map of the theoretical foundations of LLM reasoning — transformer expressivity, chain-of-thought error bounds, circuit complexity, logical characterizations, learnability, and knowledge-editing impossibility results.
GitHub repository with 5 stars and 0 forks.
Language: Python