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Axiom Satisfiability of Linear Rewards in Alignment

Nasipuri, Soumya et al.
arXiv (All) · Papers
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computer-science-and-game-theorymultiagent-systems
Learning from human preference data is the dominant route to aligning language models with human values. In linear social choice, where rewards are linear in a fixed feature representation of prompt-response pairs, Ge et al.[2024] show that fitting such a reward by minimizing any non-decreasing conv
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