3 papers
cs.CL2026
Evaluating VQA in Vision Language Models using Cooperative Principles
Monika Shah, Sudarshan Balaji, Somdeb Sarkhel +2
We evaluate the performance of Vision Language Models in Visual Question Answering (VQA) when questions violate Grice's maxims. To do this, we use VLMs to generate question modifie…
cs.CV2025
Analyzing the Sensitivity of Vision Language Models in Visual Question Answering
Monika Shah, Sudarshan Balaji, Somdeb Sarkhel +2
We can think of Visual Question Answering as a (multimodal) conversation between a human and an AI system. Here, we explore the sensitivity of Vision Language Models (VLMs) through…
cs.LG2024
Improving Machine Learning Based Sepsis Diagnosis Using Heart Rate Variability
Sai Balaji, Christopher Sun, Anaiy Somalwar
The early and accurate diagnosis of sepsis is critical for enhancing patient outcomes. This study aims to use heart rate variability (HRV) features to develop an effective predicti…