1 citations · 1 across the 3 of their papers we have counts for
3 papers
FLARE: Few-shot Learning-based Adaptive Reflective Engine
Dhanasekar Sundararaman, Bharat Gandhi, Aashna Garg +1
Large language models (LLMs) are increasingly deployed in complex, compound AI systems where performance hinges on the quality of prompts. Recent state-of-the-art optimizers like G…
A Knowledge-Injection Framework for Zero-Shot Adaptation of LLMs to Delirium Prediction
Jessica Sena, Shesadree Priyadarshani, Miguel Contreras +4
Large language models show promise for clinical prediction, but zero-shot performance on specialized tasks is limited by incomplete domain knowledge, especially for smaller locally…
Fine-Tuning Vision-Language Models for Visual Navigation Assistance
Xiao Li, Bharat Gandhi, Ming Zhan +6
We address vision-language-driven indoor navigation to assist visually impaired individuals in reaching a target location using images and natural language guidance. Traditional na…