本期“TAI快报”聚焦五篇AI前沿论文：《Crossing the Reward Bridge: Expanding RL with Verifiable Rewards Across Diverse Domains》提出软奖励强化学习，扩展至医学等复杂领域，提升AI鲁棒性和适用性。《Large Language Models Pass the Turing Test》揭示GPT-4.5等模型在角色提示下通过图灵测试，挑战AI类人能力的界限。《Entropy-Based Adaptive Weighting for Self-Training》创新性地用熵值加权自训练数据，提升数学推理效率。《Analytical Discovery of Manifold with Machine Learning》通过GAMLA框架解析高维数据隐藏结构，增强数据理解力。《Convolutional Neural Networks Can (Meta-)Learn the Same-Different Relation》证明元学习可使CNN学习抽象关系，拓展视觉AI能力。完整推介：https://mp.weixin.qq.com/s/hjxOVjQDcgEg1w496JVbyw

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