✨Diffusion Language Models are Super Data Learners
📝 Summary:
Diffusion Language Models DLMs consistently outperform autoregressive models, especially in low-data settings. This is due to any-order modeling, iterative bidirectional denoising, and Monte Carlo augmentation. DLMs maintain advantages at scale, achieving strong performance even by repeating limi...
🔹 Publication Date: Published on Nov 5
🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2511.03276
• PDF: https://arxiv.org/pdf/2511.03276
• Project Page: https://github.com/JinjieNi/dlms-are-super-data-learners
• Github: https://github.com/JinjieNi/OpenMoE2
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For more data science resources:
✓ https://t.iss.one/DataScienceT
#DiffusionModels #LanguageModels #MachineLearning #LowDataLearning #AI
📝 Summary:
Diffusion Language Models DLMs consistently outperform autoregressive models, especially in low-data settings. This is due to any-order modeling, iterative bidirectional denoising, and Monte Carlo augmentation. DLMs maintain advantages at scale, achieving strong performance even by repeating limi...
🔹 Publication Date: Published on Nov 5
🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2511.03276
• PDF: https://arxiv.org/pdf/2511.03276
• Project Page: https://github.com/JinjieNi/dlms-are-super-data-learners
• Github: https://github.com/JinjieNi/OpenMoE2
==================================
For more data science resources:
✓ https://t.iss.one/DataScienceT
#DiffusionModels #LanguageModels #MachineLearning #LowDataLearning #AI