| A Review of Repository Level Prompting for LLMs | Dec 15, 2023 | Code CompletionCode Generation | —Unverified | 0 |
| Decoding Data Quality via Synthetic Corruptions: Embedding-guided Pruning of Code Data | Dec 5, 2023 | Code GenerationHumanEval | —Unverified | 0 |
| Magicoder: Empowering Code Generation with OSS-Instruct | Dec 4, 2023 | Code GenerationHumanEval | CodeCode Available | 4 |
| Past as a Guide: Leveraging Retrospective Learning for Python Code Completion | Nov 13, 2023 | Code CompletionHumanEval | —Unverified | 0 |
| Rethinking Benchmark and Contamination for Language Models with Rephrased Samples | Nov 8, 2023 | HumanEvalMMLU | CodeCode Available | 2 |
| Personalised Distillation: Empowering Open-Sourced LLMs with Adaptive Learning for Code Generation | Oct 28, 2023 | Code GenerationHumanEval | CodeCode Available | 0 |
| CrossCodeEval: A Diverse and Multilingual Benchmark for Cross-File Code Completion | Oct 17, 2023 | Code CompletionHumanEval | CodeCode Available | 1 |
| Bridging Code Semantic and LLMs: Semantic Chain-of-Thought Prompting for Code Generation | Oct 16, 2023 | Code GenerationHumanEval | —Unverified | 0 |
| CodeChain: Towards Modular Code Generation Through Chain of Self-revisions with Representative Sub-modules | Oct 13, 2023 | Code GenerationHumanEval | CodeCode Available | 1 |
| CodeFuse-13B: A Pretrained Multi-lingual Code Large Language Model | Oct 10, 2023 | Code GenerationCode Translation | —Unverified | 0 |
