Teamwork makes the dream work: LLMs-Based Agents for GitHub README.MD Summarization

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.

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Publication Details

Published
2025-06-23
DOI
https://doi.org/10.1145/3696630.3728511
Citations
1
Primary Topic
Expert finding and Q&A systems
Type
article
Field-Weighted Citation Impact
3.25
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Teamwork makes the dream work: LLMs-Based Agents for GitHub README.MD Summarization

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1 citations
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article

Teamwork makes the dream work: LLMs-Based Agents for GitHub README.MD Summarization

Davide Di Ruscio, Phuong T. Nguyen, Juri Di Rocco, Dan Phuoc Nguyen, Bach G. Truong
article en
1 citations

Abstract

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.

University of L'Aquila (IT), Hanoi University of Science and Technology (VN)
Openalex Percentile: Top 7%
Expert finding and Q&A systems
3.25
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