3 papers
cs.LG2026
A Controlled Study of Feature-Based Knowledge Distillation Across Student Designs
Abhinand Balachandran, Praveen Prashant
Knowledge distillation trains a smaller student to match the outputs of a larger teacher. Feature-based methods also align intermediate representations, but this extra constraint m…
cs.CL2025
Mined Prompting and Metadata-Guided Generation for Wound Care Visual Question Answering
Bavana Durgapraveen, Sornaraj Sivasankaran, Abhinand Balachandran +1
The rapid expansion of asynchronous remote care has intensified provider workload, creating demand for AI systems that can assist clinicians in managing patient queries more effici…
cs.CL2025
Evaluating Prompting Strategies with MedGemma for Medical Order Extraction
Abhinand Balachandran, Bavana Durgapraveen, Gowsikkan Sikkan Sudhagar +2
The accurate extraction of medical orders from doctor-patient conversations is a critical task for reducing clinical documentation burdens and ensuring patient safety. This paper d…