你是否想过,如何让“口是心非”的AI学会言行一致,又如何让手机App在“懂你”的同时做到“不认识你”?本期节目,我们将一起揭秘几篇最新论文,看看科学家们如何用“左右互搏”大法驯服AI,用“精准激励”破解AI的“中年危机”,甚至将AI的“直觉”直接翻译成我们能读懂的代码。准备好了吗?让我们一起出发!
驯服AI野马,从“口是心非”到“知行合一”
鱼与熊掌,如何让App既“懂你”又“不认识你”?
如何破解AI训练的“中年危机”?
让机器人学会“看样学样”,总共分几步?
把AI的“直觉”翻译成代码,会发生什么?
本期介绍的几篇论文:
[LG] Self-CTRL: Self-Consistency Training with Reinforcement Learning
[MIT CSAIL]
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[LG] Private Learning with Public Feature Conditioning
[AWS Agentic AI & Microsoft & Google Research]
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[LG] STARE: Surprisal-Guided Token-Level Advantage Reweighting for Policy Entropy Stability
[Tencent Hunyuan & Tsinghua University]
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[RO] Do as I Do: Dexterous Manipulation Data from Everyday Human Videos
[UC Berkeley]
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[LG] Explaining Attention with Program Synthesis
[NJIT & MIT EECS]
![[人人能懂AI前沿] 给AI一面镜子、一张地图和一本“代码说明书”](https://image.xyzcdn.net/FqWpK8fpivLboaqBbRHUe_BCOvxu.png@small)