3 papers
cs.CL2024
Understanding Figurative Meaning through Explainable Visual Entailment
Arkadiy Saakyan, Shreyas Kulkarni, Tuhin Chakrabarty +1
Large Vision-Language Models (VLMs) have demonstrated strong capabilities in tasks requiring a fine-grained understanding of literal meaning in images and text, such as visual ques…
cs.HC2024
CataractBot: An LLM-Powered Expert-in-the-Loop Chatbot for Cataract Patients
Pragnya Ramjee, Bhuvan Sachdeva, Satvik Golechha +4
The healthcare landscape is evolving, with patients seeking reliable information about their health conditions and available treatment options. Despite the abundance of information…
cs.CR2023
RAIFLE: Reconstruction Attacks on Interaction-based Federated Learning with Adversarial Data Manipulation
Dzung Pham, Shreyas Kulkarni, Amir Houmansadr
Federated learning has emerged as a promising privacy-preserving solution for machine learning domains that rely on user interactions, particularly recommender systems and online l…