7 papers
The Landscape of Generative AI in Information Systems: A Synthesis of Secondary Reviews and Research Agendas
Aleksander JarzÄbowicz, Adam PrzybyÅek, Jacinto Estima +14
As organizations grapple with the rapid adoption of Generative AI (GenAI), this study synthesizes the state of knowledge through a systematic literature review of secondary studies…
Can Large Language Models Serve as Data Analysts? A Multi-Agent Assisted Approach for Qualitative Data Analysis
Zeeshan Rasheed, Muhammad Waseem, Aakash Ahmad +4
Context: Manual qualitative data analysis is time-intensive and can compromise validity and replicability, affecting analysis design, implementation, and reporting. Large Language…
System for systematic literature review using multiple AI agents: Concept and an empirical evaluation
Abdul Malik Sami, Zeeshan Rasheed, Kai-Kristian Kemell +6
Systematic literature review (SLR) is foundational to evidence-based research, enabling scholars to identify, classify, and synthesize existing studies to address specific research…
CodeLSI: Leveraging Foundation Models for Automated Code Generation with Low-Rank Optimization and Domain-Specific Instruction Tuning
Huy Le, Phong Nguyen, Hao Do +4
Context: Automated code generation using Foundation Models (FMs) offers promising solutions for enhancing software development efficiency. However, challenges remain in ensuring do…
Evaluating Classical Software Process Models as Coordination Mechanisms for LLM-Based Software Generation
Duc Minh Ha, Phu Trac Kien, Tho Quan +1
[Background] Large Language Model (LLM)-based multi-agent systems (MAS) are transforming software development by enabling autonomous collaboration. Classical software processes suc…
An Empirical Study of Multi-Agent RAG for Real-World University Admissions Counseling
Anh Nguyen-Duc, Chien Vu Manh, Bao Anh Tran +3
This paper presents MARAUS (Multi-Agent and Retrieval-Augmented University Admission System), a real-world deployment of a conversational AI platform for higher education admission…