Poster · Paris

Are Easier or Harder Examples Better? Rethinking Data Selection for Reward Models and Preference Optimization

Name: Are Easier or Harder Examples Better? Rethinking Data Selection for Reward Models and Preference Optimization
Start: 2026-12-11T11:30:00+01:00
End: 2026-12-11T13:30:00+01:00
Location: Paris Poster Hall, Paris

When: Fri 11 Dec 2026, 11:30–13:30 CET
Where: Paris Poster Hall
Session: Paris Poster Session 5
Authors: Kevin Christian Wibisono, Aya Ismail, Pedro O. Pinheiro, Yixin Wang, Kyunghyun Cho, Nataša Tagasovska, Rajesh Ranganath
Organisations: University of Michigan, Guide Labs, Prescient Design, Genentech, New York University
QRS classification: Reinforcement learning

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