时长：
26分钟
播放：
102
发布：
1个月前
主播...
简介...
00:01:44 AI偷懒的艺术：好钢如何用在刀刃上
00:05:46 组个“AI梦之队”，比单打独斗强在哪？
00:10:51 AI玩“跑团”：下一个世界是如何被设计出来的？
00:14:40 炼成“大模型”高手，需要计划表还是指南针？
00:19:09 让机器人学会“试错”：不是瞎猜，而是高手过招
今天介绍的五篇论文：
[CL] Mixture-of-Recursions: Learning Dynamic Recursive Depths for Adaptive Token-Level Computation
[KAIST AI & Mila]
https://arxiv.org/abs/2507.10524
---
[LG] Fusing LLM Capabilities with Routing Data
[University of Illinois Urbana-Champaign]
https://arxiv.org/abs/2507.10540
---
[AI] Multi-Actor Generative Artificial Intelligence as a Game Engine
[Google DeepMind]
https://arxiv.org/abs/2507.08892
---
[LG] Through the River: Understanding the Benefit of Schedule-Free Methods for Language Model Training
[KAIST & Seoul National University & Microsoft Research]
https://arxiv.org/abs/2507.09846
---
[LG] Behavioral Exploration: Learning to Explore via In-Context Adaptation
[UC Berkeley]
https://arxiv.org/abs/2507.09041
00:05:46 组个“AI梦之队”，比单打独斗强在哪？
00:10:51 AI玩“跑团”：下一个世界是如何被设计出来的？
00:14:40 炼成“大模型”高手，需要计划表还是指南针？
00:19:09 让机器人学会“试错”：不是瞎猜，而是高手过招
今天介绍的五篇论文：
[CL] Mixture-of-Recursions: Learning Dynamic Recursive Depths for Adaptive Token-Level Computation
[KAIST AI & Mila]
https://arxiv.org/abs/2507.10524
---
[LG] Fusing LLM Capabilities with Routing Data
[University of Illinois Urbana-Champaign]
https://arxiv.org/abs/2507.10540
---
[AI] Multi-Actor Generative Artificial Intelligence as a Game Engine
[Google DeepMind]
https://arxiv.org/abs/2507.08892
---
[LG] Through the River: Understanding the Benefit of Schedule-Free Methods for Language Model Training
[KAIST & Seoul National University & Microsoft Research]
https://arxiv.org/abs/2507.09846
---
[LG] Behavioral Exploration: Learning to Explore via In-Context Adaptation
[UC Berkeley]
https://arxiv.org/abs/2507.09041
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