[Codefuse开源轻训营] Add papers from FSE 2024, 2025

Your task is to find code LLM papers from FSE 2024 and FSE 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.

Review the existing entries in the Awesome-Code-LLM repository to identify the relevant section and formatting. Find qualifying code LLM papers from FSE 2024 and 2025, prefer arXiv abstract URLs, and consider the work done when all selected papers are added in the established format.

Written by the indexing model from the issue text.