AI RESEARCH
RoboPhD: Evolving Diverse Complex Agents Under Tight Evaluation Budgets
arXiv CS.AI
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ArXi:2604.04347v1 Announce Type: new 2026 has brought an explosion of interest in LLM-guided evolution of agentic artifacts, with systems like GEPA and Autoresearch nstrating that LLMs can iteratively improve prompts, code, and agent architectures across diverse domains.