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本期的 6 篇论文如下:
[00:30] ⚖ Balancing Pipeline Parallelism with Vocabulary Parallelism(平衡流水线并行与词汇并行)
[01:15] 🎮 StdGEN: Semantic-Decomposed 3D Character Generation from Single Images(StdGEN:从单张图像生成语义分解的3D角色)
[01:56] 🔄 DELIFT: Data Efficient Language model Instruction Fine Tuning(DELIFT:数据高效语言模型指令微调)
[02:29] 🧪 Parameter-Efficient Fine-Tuning of Large Language Models for Unit Test Generation: An Empirical Study(大型语言模型参数高效微调用于单元测试生成:一项实证研究)
[03:06] 🧠 LLM2CLIP: Powerful Language Model Unlock Richer Visual Representation(LLM2CLIP:强大的语言模型解锁更丰富的视觉表示)
[03:46] 💻 Improving the detection of technical debt in Java source code with an enriched dataset(通过丰富数据集提升Java源代码中技术债务的检测)
【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 6 篇论文如下:
[00:30] ⚖ Balancing Pipeline Parallelism with Vocabulary Parallelism(平衡流水线并行与词汇并行)
[01:15] 🎮 StdGEN: Semantic-Decomposed 3D Character Generation from Single Images(StdGEN:从单张图像生成语义分解的3D角色)
[01:56] 🔄 DELIFT: Data Efficient Language model Instruction Fine Tuning(DELIFT:数据高效语言模型指令微调)
[02:29] 🧪 Parameter-Efficient Fine-Tuning of Large Language Models for Unit Test Generation: An Empirical Study(大型语言模型参数高效微调用于单元测试生成:一项实证研究)
[03:06] 🧠 LLM2CLIP: Powerful Language Model Unlock Richer Visual Representation(LLM2CLIP:强大的语言模型解锁更丰富的视觉表示)
[03:46] 💻 Improving the detection of technical debt in Java source code with an enriched dataset(通过丰富数据集提升Java源代码中技术债务的检测)
【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