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[人人能懂] 从“攒答案”到“补短板”的决策智慧

00:00:26 高手过招:如何从一堆答案里“攒”出唯一正解?

00:04:59 AI为什么也会“脑补”?

00:10:17 AI刷题的“偏科”陷阱:如何让学霸更有创造力?

00:15:19 一个AI学会做数学题,给了我们什么启发?

00:21:20 目标太多,如何走上“最短路径”?

本期介绍的几篇论文:

[LG] The Majority is not always right: RL training for solution aggregation

[FAIR at Meta & CMU]

https://arxiv.org/abs/2509.06870

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[LG] From Noise to Narrative: Tracing the Origins of Hallucinations in Transformers

[Mila - Quebec AI Institute]

https://arxiv.org/abs/2509.06938

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[LG] Outcome-based Exploration for LLM Reasoning

[FAIR at Meta]

https://arxiv.org/abs/2509.06941

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[LG] Scaling up Multi-Turn Off-Policy RL and Multi-Agent…

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