3 papers
cs.SE2026
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…
cs.NE2026
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…
cs.CV2025
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…