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.AI2025
ScheduleMe: Multi-Agent Calendar Assistant
Oshadha Wijerathne, Amandi Nimasha, Dushan Fernando +2
Recent advancements in LLMs have contributed to the rise of advanced conversational assistants that can assist with user needs through natural language conversation. This paper pre…