3 papers
cs.AI2025
Can Agents Judge Systematic Reviews Like Humans? Evaluating SLRs with LLM-based Multi-Agent System
Abdullah Mushtaq, Muhammad Rafay Naeem, Ibrahim Ghaznavi +3
Systematic Literature Reviews (SLRs) are foundational to evidence-based research but remain labor-intensive and prone to inconsistency across disciplines. We present an LLM-based S…
cs.CL2025
Toward Inclusive Educational AI: Auditing Frontier LLMs through a Multiplexity Lens
Abdullah Mushtaq, Muhammad Rafay Naeem, Muhammad Imran Taj +2
As large language models (LLMs) like GPT-4 and Llama 3 become integral to educational contexts, concerns are mounting over the cultural biases, power imbalances, and ethical limita…
cs.MA2025
Harnessing Multi-Agent LLMs for Complex Engineering Problem-Solving: A Framework for Senior Design Projects
Abdullah Mushtaq, Muhammad Rafay Naeem, Ibrahim Ghaznavi +3
Multi-Agent Large Language Models (LLMs) are gaining significant attention for their ability to harness collective intelligence in complex problem-solving, decision-making, and pla…