一句话：探索LLM智能体协作在GitHub README摘要任务中的潜力，指出合作式LLM应用尚未被充分研究。
近年来，大语言模型（LLM）在包括软件工程在内的多个领域得到广泛应用。然而，尽管LLM已被普遍采用，多个LLM协同工作的潜力尚未得到充分研究。本文针对GitHub仓库的README.MD摘要生成任务，提出使用基于LLM的智能体（Agent）进行团队协作。该方法利用多个LLM智能体分工合作来完成摘要任务，旨在探索LLM合作在软件工程任务中的效果。摘要中未提供具体的实验设置与评估结果，因此无法总结关键性能指标。
The proliferation of Large Language Models (LLMs) in recent years has realized many applications in various domains. Being trained with a huge of amount of data coming from various sources, LLMs can be deployed to solve different tasks, including those in Software Engineering (SE). Though they have been widely adopted, the potential of using LLMs cooperatively has not been thoroughly investigated.
@inproceedings{paperbot9022,
title = {Teamwork makes the dream work: LLMs-Based Agents for GitHub README.MD Summarization},
author = {Duc S. H. Nguyen and Bach G. Truong and Phuong T. Nguyen and Juri Di Rocco and Davide Di Ruscio},
booktitle = {FSE},
year = {2025},
doi = {10.1145/3696630.3728511}
}