本期播客深入探讨了下一代多模态推理模型 Skywork R1V2。我们讨论了其核心的混合强化学习范式(MPO 和 GRPO 的结合)、创新的选择性样本缓冲(SSB)机制,以及它如何在解决复杂推理任务的同时平衡泛化能力并减少视觉幻觉。节目还将涵盖其在多个基准测试中的卓越表现、与现有模型的对比,以及对未来多模态人工智能发展的启示。
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