实体
Reinforcement Learning with Human Feedback
Reinforcement Learning with Human Feedback
PulseAugur coverage of Reinforcement Learning with Human Feedback — every cluster mentioning Reinforcement Learning with Human Feedback across labs, papers, and developer communities, ranked by signal.
总计 · 30天
2
90 天内 2
发布 · 30天
0
90 天内 0
论文 · 30天
2
90 天内 2
层级分布 · 90 天
最近 · 第 1/1 页 · 共 2 条
-
Hugging Face paper explores three models for RLHF annotation
A new paper proposes three distinct models for understanding the role of human annotators in Reinforcement Learning from Human Feedback (RLHF) pipelines. These models are 'extension,' where annotators mirror designers' …
-
Paper distinguishes three models for RLHF annotation: extension, evidence, and authority
A new paper proposes three distinct models for how human annotator judgments shape large language model behavior through Reinforcement Learning from Human Feedback (RLHF). These models are 'extension,' where annotators …