主播
节目简介
来源:小宇宙
【目录】
本期的 5 篇论文如下:
[00:33] TOP1(🔥266) | 🤖 MolmoAct2: Action Reasoning Models for Real-world Deployment(MolmoAct2:面向实际部署的動作推理模型)
[03:10] TOP2(🔥145) | 🧠 From Context to Skills: Can Language Models Learn from Context Skillfully?(从上下文到技能:语言模型能否从上下文中巧妙学习?)
[05:03] TOP3(🔥117) | 🎥 Stream-R1: Reliability-Perplexity Aware Reward Distillation for Streaming Video Generation(Stream-R1:面向流式视频生成的可靠性-困惑度感知奖励蒸馏)
[07:22] TOP4(🔥101) | 🤖 RLDX-1 Technical Report(RLDX-1技术报告)
[09:45] TOP5(🔥99) | 🤖 ARIS: Autonomous Research via Adversarial Multi-Agent Collaboration(自主研究:通过对抗性多智能体协作实现自动化科研)
【关注我们】
您还可以在以下平台找到我们,获得播客内容以外更多信息
小红书: AI速递
本期的 5 篇论文如下:
[00:33] TOP1(🔥266) | 🤖 MolmoAct2: Action Reasoning Models for Real-world Deployment(MolmoAct2:面向实际部署的動作推理模型)
[03:10] TOP2(🔥145) | 🧠 From Context to Skills: Can Language Models Learn from Context Skillfully?(从上下文到技能:语言模型能否从上下文中巧妙学习?)
[05:03] TOP3(🔥117) | 🎥 Stream-R1: Reliability-Perplexity Aware Reward Distillation for Streaming Video Generation(Stream-R1:面向流式视频生成的可靠性-困惑度感知奖励蒸馏)
[07:22] TOP4(🔥101) | 🤖 RLDX-1 Technical Report(RLDX-1技术报告)
[09:45] TOP5(🔥99) | 🤖 ARIS: Autonomous Research via Adversarial Multi-Agent Collaboration(自主研究:通过对抗性多智能体协作实现自动化科研)
【关注我们】
您还可以在以下平台找到我们,获得播客内容以外更多信息
小红书: AI速递