arXiv cs.AI
· Papers
WebGrader: Training LLMs for Web Development with Self-Evolving Programmatic Grader
arXiv:2608.06474v1 Announce Type: new Abstract: Large language models increasingly generate complete websites from natural-language descriptions, and reinforcement learning has become a central approach to closing their remaining functional gap. This training regime is bottlenecked by reward design. Hand-authored brows