3 papers
cs.AI2026
LLMs for Medical Consultation Are Evaluated Too Late: The Preformulation Gap
Yining Hua, Cyrus Ayubcha, Hongbin Na +4
Large language models for medical consultation are often evaluated after a clinical problem has already been made clear, although real consultations may begin with a vague, minimiz…
cs.CL2025
Less Context, Same Performance: A RAG Framework for Resource-Efficient LLM-Based Clinical NLP
Satya Narayana Cheetirala, Ganesh Raut, Dhavalkumar Patel +9
Long text classification is challenging for Large Language Models (LLMs) due to token limits and high computational costs. This study explores whether a Retrieval Augmented Generat…
cs.DC2024
Cloud Platforms for Developing Generative AI Solutions: A Scoping Review of Tools and Services
Dhavalkumar Patel, Ganesh Raut, Satya Narayan Cheetirala +5
Generative AI is transforming enterprise application development by enabling machines to create content, code, and designs. These models, however, demand substantial computational…