2 citations · 2 across the 1 of their papers we have counts for
2 papers
cs.SE2025
Code Generation with Small Language Models: A Codeforces-Based Study
Débora Souza, Rohit Gheyi, Lucas Albuquerque +2
Large Language Models (LLMs) demonstrate capabilities in code generation, potentially boosting developer productivity. However, their adoption remains limited by high computational…
cs.SE2025★ 2 cited
Agentic LMs: Hunting Down Test Smells
Rian Melo, Pedro Simões, Rohit Gheyi +5
Test smells reduce test suite reliability and complicate maintenance. While many methods detect test smells, few support automated removal, and most rely on static analysis or mach…