Train at Moving Edge: Online-Verified Prompt Selection for Efficient RL Training of Large Reasoning Model
Train at Moving Edge: Online-Verified Prompt Selection for Efficient RL Training of Large Reasoning Model explores A dual-stage framework that efficiently selects high-utility prompts for reinforcement learning in large language models, reducing computational costs without sacrificing performance.. Commercial viability score: 7/10 in LLM Training.
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