연구
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 naturallanguage descriptions, and reinforcement learning has become a central approach to closing their remaining functional gap. This training regime is bottlenecked by reward design.
이 콘텐츠는 ArXiv AI 원본 기사의 요약입니다. 전문은 원본 사이트에서 확인해주세요.
원문 기사 보기 →