activity
20202025
most citedGraph Neural Network to Dilute Outliers for Refactoring Monolith Application

4 citations · 5 across the 5 of their papers we have counts for

collaborators

5 papers

cs.CL2025

Script Gap: Evaluating LLM Triage on Indian Languages in Native vs Romanized Scripts in a Real World Setting

Manurag Khullar, Utkarsh Desai, Poorva Malviya +2

Large Language Models (LLMs) are increasingly deployed in high-stakes clinical applications in India. Speakers of Indian languages frequently communicate using romanized text rathe…

cs.SE2021

Monolith to Microservices: Representing Application Software through Heterogeneous Graph Neural Network

Alex Mathai, Sambaran Bandyopadhyay, Utkarsh Desai +1

Monolithic software encapsulates all functional capabilities into a single deployable unit. But managing it becomes harder as the demand for new functionalities grow. Microservice…

cs.SE2021★ 4 cited

Graph Neural Network to Dilute Outliers for Refactoring Monolith Application

Utkarsh Desai, Sambaran Bandyopadhyay, Srikanth Tamilselvam

Microservices are becoming the defacto design choice for software architecture. It involves partitioning the software components into finer modules such that the development can ha…

cs.SE2020

Evaluation of Siamese Networks for Semantic Code Search

Raunak Sinha, Utkarsh Desai, Srikanth Tamilselvam +1

With the increase in the number of open repositories and discussion forums, the use of natural language for semantic code search has become increasingly common. The accuracy of the…

cs.CL2020★ 1 cited

Benchmarking Popular Classification Models' Robustness to Random and Targeted Corruptions

Utkarsh Desai, Srikanth Tamilselvam, Jassimran Kaur +2

Text classification models, especially neural networks based models, have reached very high accuracy on many popular benchmark datasets. Yet, such models when deployed in real worl…