collaborators

9 papers

cs.IR2026

Knowledge Graph Enhanced Memory-Augmented Retrieval for Long Context Modeling

Ghadir Alselwi, Basem Suleiman, Hao Xue +4

Long-context language modeling requires not only extending context windows but maintaining coherent understanding of entity states and relationships across thousands of tokens -- a…

cs.IR2026

Long Context Modeling with Ranked Memory-Augmented Retrieval

Ghadir Alselwi, Hao Xue, Shoaib Jameel +3

Effective long-term memory management is crucial for language models handling extended contexts. We introduce the Enhanced Ranked Memory Augmented Retrieval (ERMAR) framework, whic…

cs.SE2026

TeamUp: Semantic Project Matching and Team Formation for Learning at Scale

Dhruv Gulwani, Basem Suleiman, Aditya Joshi +1

Project-based learning improves student engagement and learning outcomes, yet allocating students to appropriately challenging projects while forming cognitively diverse teams rema…

cs.AI2025

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…

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…