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Carrot and Stick: Eliciting Comparison Data and Beyond

Chen, Yiling et al.
arXiv (All) · Papers
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computer-science-and-game-theory
Comparison data elicited from people are fundamental to many machine learning tasks, including reinforcement learning from human feedback for large language models and estimating ranking models. They are typically subjective and not directly verifiable. How to truthfully elicit such comparison data
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