汽车 None 对话罗剑岚:把机器人“部署”本身变成训练的一部分 作者 | 华卫 具身智能过去两年始终无法回避的核心矛盾:模型越来越强,但机器人仍然很“笨拙”。真实部署不是一个固定测试集,机器人进入商店、家庭和工作空间后,会不断遇到预训练数据没有覆盖的新物体、新摆放、新指令偏好和长尾失败。原因并不复杂,长 LWD reward 问题 2026-05-29 华卫
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智能AI None $\xi$-DPO:通过比率奖励保证金直接偏好优化 arXiv:2605.10981v1 Announce Type: new Abstract: Reference-free preference optimization has emerged as an efficient alter the and reward 2026-05-13 Zhengyuan Fan, Zhonghua Wu, Yuxuan Du, Qun Chen
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