本期节目，我们将深入AI的“引擎盖”之下，看看那些看不见的结构如何决定一切。你会听到，为何区区2%的数据就能决定翻译能力的生死；AI如何像侦探一样，为复杂问题画出“破案地图”；以及在看似无害的模型拼接中，如何暗藏着难以察觉的“木马”后门。准备好了吗？让我们一起探索这些最新论文背后，令人拍案叫绝的智慧。

00:00:31 AI翻译的秘密，2%的数据，50%的能力

00:05:35 你以为的“搜索”，正在被重新发明

00:13:00 为什么你的“笨办法”，却是AI的“开窍”法？

00:18:16 AI大厨做菜重复？换一种“盐”试试

00:23:43 AI世界的“乐高”游戏，藏着一个你没想到的“后门”

本期介绍的几篇论文：

[CL] The Role of Mixed-Language Documents for Multilingual Large Language Model Pretraining  

[University College London & Nanyang Technological University & University of Waterloo]  

https://arxiv.org/abs/2601.00364 

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[CL] Retrieval--Reasoning Processes for Multi-hop Question Answering: A Four-Axis Design Framework and Empirical Trends  

[University of Pittsburgh & Google Cloud AI Research]  

https://arxiv.org/abs/2601.00536 

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[LG] Deep Networks Learn Deep Hierarchical Models  

[Hebrew University of Jerusalem]  

https://arxiv.org/abs/2601.00455 

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[CV] It's Never Too Late: Noise Optimization for Collapse Recovery in Trained Diffusion Models  

[UC Berkeley & University of Tübingen]  

https://arxiv.org/abs/2601.00090 

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[LG] The Trojan in the Vocabulary: Stealthy Sabotage of LLM Composition  

[Purdue University & CMU]  

https://arxiv.org/abs/2601.00065