8 citations · 27 across the 24 of their papers we have counts for
9 papers · 1 filter
TriFlow: A Progressive Multi-Agent Framework for Intelligent Trip Planning
Yuxing Chen, Basem Suleiman, Qifan Chen
Real-world trip planning requires transforming open-ended user requests into executable itineraries under strict spatial, temporal, and budgetary constraints while aligning with us…
Improving Graduate Outcomes by Identifying Skills Gaps and Recommending Courses Based on Career Interests
Rahul Soni, Basem Suleiman, Sonit Singh
This paper aims to address the challenge of selecting relevant courses for students by proposing the design and development of a course recommendation system. The course recommenda…
New Money: A Systematic Review of Synthetic Data Generation for Finance
James Meldrum, Basem Suleiman, Fethi Rabhi +1
Synthetic data generation has emerged as a promising approach to address the challenges of using sensitive financial data in machine learning applications. By leveraging generative…
KeyKnowledgeRAG (K^2RAG): An Enhanced RAG method for improved LLM question-answering capabilities
Hruday Markondapatnaikuni, Basem Suleiman, Abdelkarim Erradi +1
Fine-tuning is an immensely resource-intensive process when retraining Large Language Models (LLMs) to incorporate a larger body of knowledge. Although many fine-tuning techniques…
SemRAG: Semantic Knowledge-Augmented RAG for Improved Question-Answering
Kezhen Zhong, Basem Suleiman, Abdelkarim Erradi +1
This paper introduces SemRAG, an enhanced Retrieval Augmented Generation (RAG) framework that efficiently integrates domain-specific knowledge using semantic chunking and knowledge…
Automated Unit Test Case Generation: A Systematic Literature Review
Jason Wang, Basem Suleiman, Muhammad Johan Alibasa
Software is omnipresent within all factors of society. It is thus important to ensure that software are well tested to mitigate bad user experiences as well as the potential for se…