Author

V. B. Kolachalama

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Open access Oct 2026

Entity-centric evaluation of large language model responses for medical question-answering tasks

Large language models (LLMs) are increasingly evaluated for clinical question-answering (QA) tasks, yet benchmark accuracy alone provides limited assurance of clinical reliability. Existing evaluation metrics often fail to capture whether model reasoning preserves patient-specific context and diagnostic intent, while m...

Yi Liu, V. B. Kolachalama · PLOS Digital Health · 0 citations

Open access Jul 2026

Gradient-guided adapter merging for neuroimaging vision-language models

GRAM is presented, a layer-selective low-rank adaptation (LoRA)-based fine-tuning and merging framework for multi-task neuroimaging visual question-answering (VQA), which uses a gradient ratio that contrasts class-specific gradients to identify task-discriminative layers.

S. Bit, O. Güney, S. Jia et al. · medRxiv · 0 citations