3 citations · 5 across the 6 of their papers we have counts for
6 papers
REMODEL-LLM: Transforming C code to Java using LLMs
Aryan Gupta, Y. Raghu Reddy
The automated translation of C code to Java code is a notoriously difficult task, fraught with challenges stemming from fundamental paradigm shifts (procedural vs. Object Oriented)…
SLMFix: Leveraging Small Language Models for Domain Specific Language Error Fixing with Reinforcement Learning
David Jiahao Fu, Aryan Gupta, Aaron Councilman +3
Large language models (LLMs) have shown impressive capabilities in code generation across many programming languages but even state-of-the-art LLMs generate programs that contain s…
Assessing the Limits of Graph Neural Networks for Vapor-Liquid Equilibrium Prediction: A Cryogenic Mixture Case Study
Aryan Gupta
Accurate and fast thermophysical models are needed to embed vapor-liquid equilibrium (VLE) calculations in design, optimization, and control loops for cryogenic mixtures. This stud…
Energy Efficiency in Robotics Software: A Systematic Literature Review (2020-2024)
Aryan Gupta
This study presents a systematic literature review of software-level approaches to energy efficiency in robotics published from 2020 through 2024, updating and extending pre-2020 e…
Towards Formal Verification of LLM-Generated Code from Natural Language Prompts
Aaron Councilman, David Jiahao Fu, Aryan Gupta +4
In the past few years LLMs have emerged as a tool that can aid programmers by taking natural language descriptions and generating code based on it. However, the reliability of LLM…
Analyzing LLM Usage in an Advanced Computing Class in India
Anupam Garg, Aryaman Raina, Aryan Gupta +10
This study examines the use of large language models (LLMs) by undergraduate and graduate students for programming assignments in advanced computing classes. Unlike existing resear…