Showing cs.CLShow all
3 papers · 1 filter
cs.CL2025
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…
cs.CL2025
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…
cs.CL2025
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…