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Compositional Generalization in Autoregressive Models via Logit Composition
新方法通过logit组合提升自回归模型的组合泛化能力，突破结构泛化瓶颈。
arXiv:2605.28304v1 Announce Type: new Abstract: Composing autoregressive models remains a core challenge in understanding how large language models ca…
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Matrix-Space Reinforcement Learning for Reusing Local Transition Geometry
用矩阵空间抽象局部转移几何，强化学习实现组合泛化新范式。
arXiv:2605.14304v1 Announce Type: cross Abstract: Compositional generalization in sequential decision-making requires identifying which parts of prior…