Steerable Pluralistic Policy Alignment from Anonymized Crowd Feedback
arXiv:2610.26914v1 Announce Type: new Abstract: Pluralistic alignment requires AI systems to learn from diverse populations whose preferences may reflect heterogeneous or even conflicting objectives, and to personalize their behavior to individual users. Existing approaches in pluralistic alignment…
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- 2026-10-21 04:00 · arXiv cs.LG
Steerable Pluralistic Policy Alignment from Anonymized Crowd Feedback