Daoguang/CodeM-Multilinugal-Data
CodeM: Can Programming Languages Boost Each Other via Instruction Tuning? Paper GitHub Abstract When human programmers have mastered a programming language, it would be easier when they learn a new programming language. In this report, we focus on exploring whether programming languages can boost each other during the instruction fine-tuning phase of code large language models. We conduct extensive experiments of 8 popular programming languages (Python… See the full description on the dataset page: https://huggingface.co/datasets/Daoguang/CodeM-Multilinugal-Data.
| Author / organization | Daoguang |
|---|---|
| License (as declared) | apache-2.0 |
| Downloads | 189 (as reported by Hugging Face) |
| Likes | 5 |
| Created | 31 August 2023 |
| Last updated at source | 28 August 2024 |
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- 16 Oct 2026 Description: CodeM: Can Programming Languages Boost Each Other via Instruction Tuning? Paper GitHub Abstract When human programmers have mastered a programming language, it would be easier when they learn a new programming language. In this report, we f → CodeM: Can Programming Languages Boost Each Other via Instruction Tuning? Paper GitHub Abstract When human programmers have mastered a programming language, it would be easier when they learn a new programming language. In this report, we f
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