| Training Language Models on Synthetic Edit Sequences Improves Code Synthesis | Oct 3, 2024 | HumanEvalSynthetic Data Generation | CodeCode Available | 1 |
| Policy Filtration in RLHF to Fine-Tune LLM for Code Generation | Sep 11, 2024 | Code GenerationHumanEval | CodeCode Available | 1 |
| Planning In Natural Language Improves LLM Search For Code Generation | Sep 5, 2024 | Code GenerationDiversity | CodeCode Available | 1 |
| How Do Your Code LLMs Perform? Empowering Code Instruction Tuning with High-Quality Data | Sep 5, 2024 | Code GenerationDiversity | CodeCode Available | 1 |
| ArchCode: Incorporating Software Requirements in Code Generation with Large Language Models | Aug 2, 2024 | Code GenerationHumanEval | CodeCode Available | 1 |
| InverseCoder: Self-improving Instruction-Tuned Code LLMs with Inverse-Instruct | Jul 8, 2024 | Code GenerationCode Summarization | CodeCode Available | 1 |
| RES-Q: Evaluating Code-Editing Large Language Model Systems at the Repository Scale | Jun 24, 2024 | Code GenerationHumanEval | CodeCode Available | 1 |
| How Efficient is LLM-Generated Code? A Rigorous & High-Standard Benchmark | Jun 10, 2024 | HumanEvalProgram Synthesis | CodeCode Available | 1 |
| SemCoder: Training Code Language Models with Comprehensive Semantics Reasoning | Jun 3, 2024 | Code CompletionCode Generation | CodeCode Available | 1 |
| ReflectionCoder: Learning from Reflection Sequence for Enhanced One-off Code Generation | May 27, 2024 | Code GenerationHumanEval | CodeCode Available | 1 |
