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
---
[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
---
[LG] Deep Networks Learn Deep Hierarchical Models
[Hebrew University of Jerusalem]
https://arxiv.org/abs/2601.00455
---
[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
---
[LG] The Trojan in the Vocabulary: Stealthy Sabotage of LLM Composition
[Purdue University & CMU]
https://arxiv.org/abs/2601.00065