awesome_learning_of_algorithms

A list of research papers on the learning algorithms. (work in progress)

Generalized algorithm learning

• Neural GPUs Learn Algorithms (2015)
• Grokking: Generalization Beyond Overfitting on Small Algorithmic Datasets (2020)
• The CLRS Algorithmic Reasoning Benchmark (2022)
• Automated discovery of algorithms from data (2023)
• Executing Natural Language-Described Algorithms with Large Language Models: An Investigation (2024)
• Benchmarking ChatGPT on Algorithmic Reasoning (2024)
• Transformers Can Do Arithmetic with the Right Embeddings (2024)
• Transformers meet Neural Algorithmic Reasoners (2024)

Learning algorithms from code data

• Competition-Level Code Generation with AlphaCode (2022)
• TACO: Topics in Algorithmic COde generation dataset (2023)

Learning code execution

• NExT: Teaching Large Language Models to Reason about Code Execution (2024)

Other related paper

• 分析humaneval 164道题的话题 (2024)