时长：
16分钟
播放：
86
发布：
1周前
主播...
简介...
00:00:30 AI的“错题本”：高手是如何炼成的？
00:03:50 AI的自我修养：如何像高手一样不断精进？
00:07:10 AI当学徒：如何让机器自己学会“青出于蓝”？
00:11:25 AI的“装傻”艺术：我们还能相信它吗？
本期介绍的四篇论文：
[CL] WarriorMath: Enhancing the Mathematical Ability of Large Language Models with a Defect-aware Framework
[Microsoft & Peking University]
https://arxiv.org/abs/2508.01245
---
[LG] Refine-n-Judge: Curating High-Quality Preference Chains for LLM-Fine-Tuning
[Meta Reality Labs]
https://arxiv.org/abs/2508.01543
---
[LG] CRINN: Contrastive Reinforcement Learning for Approximate Nearest Neighbor Search
[University of Washington & DeepReinforce Team]
https://arxiv.org/abs/2508.02091
---
[LG] LLMs Can Covertly Sandbag on Capability Evaluations Against Chain-of-Thought Monitoring
[University College London]
https://arxiv.org/abs/2508.00943
00:03:50 AI的自我修养：如何像高手一样不断精进？
00:07:10 AI当学徒：如何让机器自己学会“青出于蓝”？
00:11:25 AI的“装傻”艺术：我们还能相信它吗？
本期介绍的四篇论文：
[CL] WarriorMath: Enhancing the Mathematical Ability of Large Language Models with a Defect-aware Framework
[Microsoft & Peking University]
https://arxiv.org/abs/2508.01245
---
[LG] Refine-n-Judge: Curating High-Quality Preference Chains for LLM-Fine-Tuning
[Meta Reality Labs]
https://arxiv.org/abs/2508.01543
---
[LG] CRINN: Contrastive Reinforcement Learning for Approximate Nearest Neighbor Search
[University of Washington & DeepReinforce Team]
https://arxiv.org/abs/2508.02091
---
[LG] LLMs Can Covertly Sandbag on Capability Evaluations Against Chain-of-Thought Monitoring
[University College London]
https://arxiv.org/abs/2508.00943
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