2 citations · 2 across the 4 of their papers we have counts for
4 papers
You Don't Need Public Tests to Generate Correct Code
Kaushitha Silva, Srinath Perera
Multi-agent systems are frequently employed for autonomous code generation, demonstrating strong utility in complex algorithmic problem-solving. Recent studies tackle the difficult…
BACE: LLM-based Code Generation through Bayesian Anchored Co-Evolution of Code and Test Populations
Kaushitha Silva, Srinath Perera
Large Language Models (LLMs) have demonstrated impressive capabilities in code generation. While an interactive feedback loop can improve performance, writing effective tests is a…
BiomedXPro: Prompt Optimization for Explainable Diagnosis with Biomedical Vision Language Models
Kaushitha Silva, Mansitha Eashwara, Sanduni Ubayasiri +2
The clinical adoption of biomedical vision-language models is hindered by prompt optimization techniques that produce either uninterpretable latent vectors or single textual prompt…
A Comprehensive Survey on Network Traffic Synthesis: From Statistical Models to Deep Learning
Nirhoshan Sivaroopan, Kaushitha Silva, Chamara Madarasingha +4
Synthetic network traffic generation has emerged as a promising alternative for various data-driven applications in the networking domain. It enables the creation of synthetic data…