1 citations · 1 across the 4 of their papers we have counts for
4 papers
GeMi: A Graph-based, Multimodal Recommendation System for Narrative Scroll Paintings
Haimonti Dutta, Pruthvi Moluguri, Jin Dai +1
Recommendation Systems are effective in managing the ever-increasing amount of multimodal data available today and help users discover interesting new items. These systems can hand…
Can Prompts Rewind Time for LLMs? Evaluating the Effectiveness of Prompted Knowledge Cutoffs
Xin Gao, Ruiyi Zhang, Daniel Du +3
Large Language Models (LLMs) are widely used for temporal prediction, but their reliance on pretraining data raises contamination concerns, as accurate predictions on pre-cutoff te…
Looking Beyond What You See: An Empirical Analysis on Subgroup Intersectional Fairness for Multi-label Chest X-ray Classification Using Social Determinants of Racial Health Inequities
Dana Moukheiber, Saurabh Mahindre, Lama Moukheiber +2
There has been significant progress in implementing deep learning models in disease diagnosis using chest X- rays. Despite these advancements, inherent biases in these models can l…
Consensus Based Multi-Layer Perceptrons for Edge Computing
Haimonti Dutta, Nitin Nataraj, Saurabh Amarnath Mahindre
In recent years, storing large volumes of data on distributed devices has become commonplace. Applications involving sensors, for example, capture data in different modalities incl…