[Codefuse开源轻训营] Add papers from ASE 2024, 2025
Nobody has claimed this yet.
Assessment
- Difficulty
- 3/5
- Estimated time
- 1-2 days
- Newbie friendliness
- 45/100
- Issue type
- Documentation
- Clarity
- Mostly clear
- Activity status
- Stale
- Tech stack
- machine-learning
- Domain
- content, documentation
Research direction
Review the existing entries in the repository and identify qualifying code LLM papers from ASE 2024 and ASE 2025. Add each paper to the most relevant section using the established format, preferring arXiv abstract URLs; done means all selected papers meet the stated criteria and are consistently listed.
Written by the indexing model from the issue text.
Description
Your task is to find code LLM papers from ASE 2024 and ASE 2025, and add them to the most relevant section following the format of existing entries.
The criteria for inclusion are:
The paper makes non-trivial contributions to the field of natural language processing, artificial intelligence, or software engineering in one of the following aspects: 1) publicly accessible models, 2) new data resources, 3) novel training/inference algorithms, 4) empirical analysis with novel insights, 5) application to novel tasks.
Use the URL for arXiv abstract page (in the format https://arxiv.org/abs/xxxx.xxxxx) whenever available, since papers from conference sites are not always accessible to everyone.
- Dominant language
- No language data
- Stars
- 3.4k
- Forks
- 245
- PR merge metrics
- No merged PRs in 30d
Getting set up
This project ships no dev container, Dockerfile or contributing guide, so setting up is up to you: start from its README, and see our first-contribution guide for the general steps.
First steps
- Read the whole issue, then the project's contributing guide.
- Comment on the issue to say you are picking it up — it saves two people doing the same work.
- Fork the repository and make your change on a branch.
- Open a pull request that references the issue number.
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