3 papers
cs.CL2026
When Iterative RAG Beats Ideal Evidence: A Diagnostic Study in Scientific Multi-hop Question Answering
Mahdi Astaraki, Mohammad Arshi Saloot, Ali Shiraee Kasmaee +2
Retrieval-Augmented Generation (RAG) extends large language models (LLMs) beyond parametric knowledge, yet it is unclear when iterative retrieval-reasoning loops meaningfully outpe…
cs.CL2025
Towards Domain Specification of Embedding Models in Medicine
Mohammad Khodadad, Ali Shiraee Kasmaee, Mahdi Astaraki +1
Medical text embedding models are foundational to a wide array of healthcare applications, ranging from clinical decision support and biomedical information retrieval to medical qu…
cs.CL2025
Evaluating Multi-Hop Reasoning in Large Language Models: A Chemistry-Centric Case Study
Mohammad Khodadad, Ali Shiraee Kasmaee, Mahdi Astaraki +3
In this study, we introduced a new benchmark consisting of a curated dataset and a defined evaluation process to assess the compositional reasoning capabilities of large language m…