논문 정보
- 날짜:
2026-04-06 - 카테고리: -
- 우선순위 점수: 1.667
핵심 요약
On-policy distillation (OPD) has become a popular training paradigm in the LLM community. This paradigm selects a larger model as the teacher to provide dense, fine-grained signals for each sampled trajectory, in contrast to reinforcement learning with verifiable rewards (RLVR),…학습자 관점 포인트
- 우리 팀 영향: 추가 검토 필요
- 권장 액션: 보류
- 액션 근거: LLM 출력 파싱 실패로 수동 검토가 필요합니다.
원문 링크
- arXiv: https://arxiv.org/abs/2604.03128
- Hugging Face Papers: https://huggingface.co/papers/2604.03128