activity
20242026
most citedLLMLOOP: Improving LLM-Generated Code and Tests through Automated Iterative Feedback Loops

7 citations · 7 across the 4 of their papers we have counts for

collaborators

5 papers

cs.SE2026★ 7 cited

LLMLOOP: Improving LLM-Generated Code and Tests through Automated Iterative Feedback Loops

Ravin Ravi, Dylan Bradshaw, Stefano Ruberto +2

Large Language Models (LLMs) are showing remarkable performance in generating source code, yet the generated code often has issues like compilation errors or incorrect code. Resear…

eess.IV2025

Breast Cancer Neoadjuvant Chemotherapy Treatment Response Prediction Using Aligned Longitudinal MRI and Clinical Data

Rahul Ravi, Ruizhe Li, Tarek Abdelfatah +2

Aim: This study investigates treatment response prediction to neoadjuvant chemotherapy (NACT) in breast cancer patients, using longitudinal contrast-enhanced magnetic resonance ima…

cs.AR2025

Hardware vs. Software Implementation of Warp-Level Features in Vortex RISC-V GPU

Huanzhi Pu, Rishabh Ravi, Shinnung Jeong +5

RISC-V GPUs present a promising path for supporting GPU applications. Traditionally, GPUs achieve high efficiency through the SPMD (Single Program Multiple Data) programming model.…

cs.IR2024

PRAGyan -- Connecting the Dots in Tweets

Rahul Ravi, Gouri Ginde, Jon Rokne

As social media platforms grow, understanding the underlying reasons behind events and statements becomes crucial for businesses, policymakers, and researchers. This research explo…

cs.RO2024

N-QR: Natural Quick Response Codes for Multi-Robot Instance Correspondence

Nathaniel Moore Glaser, Rajashree Ravi, Zsolt Kira

Image correspondence serves as the backbone for many tasks in robotics, such as visual fusion, localization, and mapping. However, existing correspondence methods do not scale to l…