64 citations · 64 across the 4 of their papers we have counts for
4 papers
CORE: Comprehensive Ontological Relation Evaluation for Large Language Models
Satyam Dwivedi, Sanjukta Ghosh, Shivam Dwivedi +7
Large Language Models (LLMs) perform well on many reasoning benchmarks, yet existing evaluations rarely assess their ability to distinguish between meaningful semantic relations an…
Semi-supervised counterfactual explanations
Shravan Kumar Sajja, Sumanta Mukherjee, Satyam Dwivedi
Counterfactual explanations for machine learning models are used to find minimal interventions to the feature values such that the model changes the prediction to a different outpu…
Alexa Teacher Model: Pretraining and Distilling Multi-Billion-Parameter Encoders for Natural Language Understanding Systems
Jack FitzGerald, Shankar Ananthakrishnan, Konstantine Arkoudas +38
We present results from a large-scale experiment on pretraining encoders with non-embedding parameter counts ranging from 700M to 9.3B, their subsequent distillation into smaller m…
Explainable AI based Interventions for Pre-season Decision Making in Fashion Retail
Shravan Sajja, Nupur Aggarwal, Sumanta Mukherjee +3
Future of sustainable fashion lies in adoption of AI for a better understanding of consumer shopping behaviour and using this understanding to further optimize product design, deve…