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Superposition Yields Robust Neural Scaling(NeurIPS2025 Runner Up)| MIT PhD刘逸舟“涌现Lab”2025AI专题分享会中,MIT PhD刘逸舟带来Superposition Yields Robust Neural Scaling(NeurIPS 2025 Runners Up)的工作分享

  1. Superposition Yields Robust Neural Scaling(NeurIPS2025 Runner Up)| MIT PhD刘逸舟
    “涌现Lab”2025AI专题分享会中,MIT PhD刘逸舟带来Superposition Yields Robust Neural Scaling(NeurIPS 2025 Runners Up)的工作分享。

    论文提出,“表征叠加”(representation superposition)是导致大型语言模型(LLMs)中“神经缩放律”(Neural Scaling Laws)的关键驱动因素,并在多个开源LLM中验证了这一核心观点。
    @涌现Lab:
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