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精选50Teortaxes▶️ (DeepSeek 推特🐋铁粉 2023 – ∞)论文研究

GRPO与ORM的思考:密集过程奖励信号的潜力与PRM缺陷

Just realized that this is GRPO-brained, generally ORM-brained

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Just realized that this is GRPO-brained, generally ORM-brained dense process reward signal, in theory, would let you progress even if you do not have "positive trajectories". Of course, flaws of PRMs haven't disappeared either I still think PRMs were a psyop

更进一步:量化金融体系

看懂新闻只是起点——沿量化金融路径,把它变成能交付的工程能力

进入量化体系 →

关联讨论

同一事件的更多信源
RL后训练隐式提供步骤级奖励信号,无需额外奖励模型
Hugging Face 每日论文(json_list)原文

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