2 papers
cs.AI2026
RoboPhD: Evolving Diverse Complex Agents Under Tight Evaluation Budgets
Andrew Borthwick, Stephen Ash, Anthony Galczak
2026 has brought an explosion of interest in LLM-guided evolution of agentic artifacts, with systems like GEPA and Autoresearch demonstrating that LLMs can iteratively improve prom…
cs.CL2026
RoboPhD: Self-Improving Text-to-SQL Through Autonomous Agent Evolution
Andrew Borthwick, Stephen Ash
We present RoboPhD, a system where AI agents autonomously conduct research to improve Text-to-SQL performance. RoboPhD implements a closed-loop evolution cycle with two coordinated…