14 citations · 16 across the 4 of their papers we have counts for
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cs.CL2024
PERSONA: A Reproducible Testbed for Pluralistic Alignment
Louis Castricato, Nathan Lile, Rafael Rafailov +2
The rapid advancement of language models (LMs) necessitates robust alignment with diverse user values. However, current preference optimization approaches often fail to capture the…
cs.AI2024★ 14 cited
A Roadmap to Pluralistic Alignment
Taylor Sorensen, Jared Moore, Jillian Fisher +9
With increased power and prevalence of AI systems, it is ever more critical that AI systems are designed to serve all, i.e., people with diverse values and perspectives. However, a…