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cs.LG2026
Smaller Models, Better Rejects: Preference Distillation Scaling
Rui Cai, Wenhui Zhu, Xiwen Chen +15
Preference distillation typically treats a teacher response as preferred and the student's own response as rejected. This assumes that self-generated failures are the most informat…
cs.LG2022★ 1 cited
Understanding Curriculum Learning in Policy Optimization for Online Combinatorial Optimization
Runlong Zhou, Zelin He, Yuandong Tian +2
Over the recent years, reinforcement learning (RL) starts to show promising results in tackling combinatorial optimization (CO) problems, in particular when coupled with curriculum…