Papers by Ankit Jha
BioVLM: Routing Prompts, Not Parameters, for Cross-Modality Generalization in Biomedical VLMs (2026.findings-acl)
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| Challenge: | Pretrained biomedical vision–language models perform well on average but often degrade on challenging modalities. |
| Approach: | They propose a prompt-learning framework that improves cross-domain generalization without extensive backbone fine-tuning. |
| Outcome: | BioVLM learns a diverse prompt bank and introduces dynamic prompt selection . it can combine sparse few-shot evidence with rich LLM semantic priors . bioVLM achieves state-of-the-art on 11 MedMNIST+ 2D datasets based on the proposed framework . |