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cs.LG2026
OPD Before RL: Warm-Starting Rubric-Based RL with On-Policy Distillation
Xinpeng Wang, Wei Shi, Yu-Chia Chen +3
Many useful language-model tasks cannot be evaluated by exact outcome verification. Rubric-based reinforcement learning (RL) addresses this issue by scoring open-ended responses ag…
cs.LG2025
Prompt Curriculum Learning for Efficient LLM Post-Training
Zhaolin Gao, Joongwon Kim, Wen Sun +4
We introduce Prompt Curriculum Learning (PCL), a lightweight reinforcement learning (RL) algorithm that selects intermediate-difficulty prompts using a learned value model to post-…