ENTITY
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.
Total · 30d
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Releases · 30d
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Papers · 30d
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TIER MIX · 90D
RECENT · PAGE 1/1 · 2 TOTAL
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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 …
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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' …