Hugging Face · 논문
Each Reward to Its Relevant Tokens: Reward-Specific Token-Level Credit Assignment for Multi-Reward RL
Hugging Face 일일 논문 목록에 오른 논문입니다 (arXiv 2610.21439).
원문 공개 요약 발췌
Language models are increasingly trained against several verifiable rewards at once, such as the correctness and the format of a tool call, or the individual constraints of a complex instruction.원문 피드·공개 API 가 내보낸 소개 문구의 앞부분입니다.
출처
- 조직
- Hugging Face
- 소스
- Hugging Face 일일 논문
- 원문 제목
- Each Reward to Its Relevant Tokens: Reward-Specific Token-Level Credit Assignment for Multi-Reward RL
- 게시 시각
- (KST)
- 원문
- https://huggingface.co/papers/2610.21439