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[Codefuse开源轻训营] Add papers from FSE 2024, 2025 #222
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.
large language model, LLM, language model, AI, SE, ide
"ChatDBG: Augmenting Debugging with Large Language Models" [paper]
2024-12
33rd ACM International Conference on the Foundations of Software Engineering (FSE Companion '25), June 23--28, 2025, Trondheim, Norway
LLM, software engineering, SE, software engineering
"Quantifying the benefits of code hints for refactoring deprecated Java APIs" [paper]
2025-04
Companion Proceedings of the 33rd ACM International Conference on the Foundations of Software Engineering (FSE'25 Industry Track), June 2025
code LLM, large language model, LLM, language model, code llm, pre-training, AI, software engineering, SE, programming languages, source code, software engineering, ide
"Risk Assessment Framework for Code LLMs via Leveraging Internal States" [paper]
Activity
jingjin-dev commentedon Dec 2, 2025
fluoryyn-art commentedon Dec 5, 2025
Decoder
Code Translation
Code Review
bbkx226 commentedon Dec 7, 2025