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AI智能总结...
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简介...
本期的 10 篇论文如下:
[00:40] TOP1(🔥209) | 🌐 Mutarjim: Advancing Bidirectional Arabic-English Translation with a Small Language Model(Mutarjim:利用小型语言模型推进阿拉伯语-英语双向翻译)
[03:07] TOP2(🔥172) | 🧠 Perception, Reason, Think, and Plan: A Survey on Large Multimodal Reasoning Models(感知、推理、思考与规划:大型多模态推理模型综述)
[05:19] TOP3(🔥171) | 🤖 Qwen3 Technical Report(Qwen3技术报告)
[07:49] TOP4(🔥168) | 🚀 Absolute Zero: Reinforced Self-play Reasoning with Zero Data(绝对零度:基于零数据的强化自博弈推理)
[09:39] TOP5(🔥141) | 💡 Seed1.5-VL Technical Report(Seed1.5-VL 技术报告)
[12:15] TOP6(🔥140) | 🗜 Shifting AI Efficiency From Model-Centric to Data-Centric Compression(AI效率转移:从以模型为中心到以数据为中心的压缩)
[14:08] TOP7(🔥126) | 💡 Emerging Properties in Unified Multimodal Pretraining(统一多模态预训练中的涌现属性)
[16:30] TOP8(🔥121) | 🗣 MiniMax-Speech: Intrinsic Zero-Shot Text-to-Speech with a Learnable Speaker Encoder(MiniMax-Speech:具有可学习说话人编码器的内在零样本语音合成)
[19:21] TOP9(🔥116) | 💡 Beyond 'Aha!': Toward Systematic Meta-Abilities Alignment in Large Reasoning Models(超越“灵光乍现”:迈向大型推理模型中系统性元能力对齐)
[21:49] TOP10(🔥111) | 🔗 Chain-of-Model Learning for Language Model(语言模型的链式模型学习)
【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
[00:40] TOP1(🔥209) | 🌐 Mutarjim: Advancing Bidirectional Arabic-English Translation with a Small Language Model(Mutarjim:利用小型语言模型推进阿拉伯语-英语双向翻译)
[03:07] TOP2(🔥172) | 🧠 Perception, Reason, Think, and Plan: A Survey on Large Multimodal Reasoning Models(感知、推理、思考与规划:大型多模态推理模型综述)
[05:19] TOP3(🔥171) | 🤖 Qwen3 Technical Report(Qwen3技术报告)
[07:49] TOP4(🔥168) | 🚀 Absolute Zero: Reinforced Self-play Reasoning with Zero Data(绝对零度:基于零数据的强化自博弈推理)
[09:39] TOP5(🔥141) | 💡 Seed1.5-VL Technical Report(Seed1.5-VL 技术报告)
[12:15] TOP6(🔥140) | 🗜 Shifting AI Efficiency From Model-Centric to Data-Centric Compression(AI效率转移:从以模型为中心到以数据为中心的压缩)
[14:08] TOP7(🔥126) | 💡 Emerging Properties in Unified Multimodal Pretraining(统一多模态预训练中的涌现属性)
[16:30] TOP8(🔥121) | 🗣 MiniMax-Speech: Intrinsic Zero-Shot Text-to-Speech with a Learnable Speaker Encoder(MiniMax-Speech:具有可学习说话人编码器的内在零样本语音合成)
[19:21] TOP9(🔥116) | 💡 Beyond 'Aha!': Toward Systematic Meta-Abilities Alignment in Large Reasoning Models(超越“灵光乍现”:迈向大型推理模型中系统性元能力对齐)
[21:49] TOP10(🔥111) | 🔗 Chain-of-Model Learning for Language Model(语言模型的链式模型学习)
【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
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