时长:
29分钟
播放:
174
发布:
1周前
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简介...
你有没有想过,我们能不能让AI像探险家一样,在脑中绘制一张动态的世界地图?或者,仅仅是换个“看”图的顺序,就能让AI的识别能力大幅提升?本期节目,我们将一起探索几篇有趣的最新论文:看看为什么用“假奖励”瞎指挥,反而能激发AI的潜能;AI又是如何自动发现数据背后的“主线任务”;以及最关键的,我们如何教会AI那句宝贵的“我不确定”,让它变得更值得信赖。
00:00:35 你的大脑,如何给世界画地图?
00:05:33 AI识图的秘密,你以为不重要的,恰恰是关键
00:12:01 为什么瞎指挥也能练出好学生?
00:17:57 有一种AI,能自动发现数据的“主线任务”
00:23:29 给AI装上一个“靠谱”探测器
本期介绍的几篇论文:
[LG] MapFormer: Self-Supervised Learning of Cognitive Maps with Input-Dependent Positional Embeddings
[Institut Jean Nicod & École Normale Supérieur]
https://arxiv.org/abs/2511.19279
---
[LG] REOrdering Patches Improves Vision Models
[University of Pittsburgh & UC Berkeley]
https://arxiv.org/abs/2505.23751
---
[LG] Spurious Rewards: Rethinking Training Signals in RLVR
[University of Washington]
https://arxiv.org/abs/2506.10947
---
[LG] Distributional Autoencoders Know the Score
[University of Michigan]
https://arxiv.org/abs/2502.11583
---
[LG] Similarity-Distance-Magnitude Activations
[Reexpress AI]
https://arxiv.org/abs/2509.12760
00:00:35 你的大脑,如何给世界画地图?
00:05:33 AI识图的秘密,你以为不重要的,恰恰是关键
00:12:01 为什么瞎指挥也能练出好学生?
00:17:57 有一种AI,能自动发现数据的“主线任务”
00:23:29 给AI装上一个“靠谱”探测器
本期介绍的几篇论文:
[LG] MapFormer: Self-Supervised Learning of Cognitive Maps with Input-Dependent Positional Embeddings
[Institut Jean Nicod & École Normale Supérieur]
https://arxiv.org/abs/2511.19279
---
[LG] REOrdering Patches Improves Vision Models
[University of Pittsburgh & UC Berkeley]
https://arxiv.org/abs/2505.23751
---
[LG] Spurious Rewards: Rethinking Training Signals in RLVR
[University of Washington]
https://arxiv.org/abs/2506.10947
---
[LG] Distributional Autoencoders Know the Score
[University of Michigan]
https://arxiv.org/abs/2502.11583
---
[LG] Similarity-Distance-Magnitude Activations
[Reexpress AI]
https://arxiv.org/abs/2509.12760
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