Kunhe Yang
where else to find them
what they talk about
where they keep going back
no series more than once — all 1 in the filters
on a stage with
never shared a talk
who talks about the same things
one talk is not yet a subject
| title | conference | date |
|---|---|---|
| Rethinking AI Alignment and Evaluation under Heterogeneous Preferences | Agency in Collaborative Learning 2026 | 2026-04-13 |
Shows that fitting one reward to heterogeneous users is information-theoretically doomed: mixtures of Bradley–Terry utilities are non-identifiable and pairwise… | ||
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