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DANTINOX: A Unified Framework for Multi-Paradigm Language ModelingDANTINOX: A Unified Framework for Multi-Paradigm Language Modeling

📅 2026-09-17 ⏱️ 约 5 分钟阅读⏱️ 5 min read ✍️ AI导航编辑部✍️ AI Nav Editorial 🔗 arxiv.org
DANTINOX: A Unified Framework for Multi-Paradigm Language Modeling
📝 内容摘要📝 Summary

Computer Science > Computation and Language [Submitted on 11 Jul 2026] Title:DANTINOX: A Unified Framework for MulComputer Science > Computation and Language [Submitted on 11 Jul 2026] Title:DANTINOX: A Unified Framework for Mul

📌 核心要点

  • Computer Science > Computation and LanguageComputer Science > Computation and Language
  • [Submitted on 11 Jul 2026][Submitted on 11 Jul 2026]
  • Title:DANTINOX: A Unified Framework for Multi-Paradigm Language ModelingTitle:DANTINOX: A Unified Framework for Multi-Paradigm Language Modeling

Computer Science > Computation and Language

[Submitted on 11 Jul 2026]

Title:DANTINOX: A Unified Framework for Multi-Paradigm Language Modeling

View PDF HTML (experimental)Abstract:Language generation research increasingly spans three paradigms: autoregressive decoding, discrete masked diffusion, and continuous flow-matching. Comparing them is difficult because each lives in a separate codebase, so measured differences often reflect implementation details rather than the paradigms themselves. We present DantinoX, an open-source JAX/Flax library in which a single modular Transformer backbone serves all three paradigms. Switching the generation paradigm, attention mechanism, or hardware topology requires only a configuration change, while the backbone architecture, tokenizer, initialization strategy, and training infrastructure remain consistent. This enables controlled cross-paradigm comparisons within one API for training, streaming inference, and benchmarking.

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Computer Science > Computation and Language

[Submitted on 11 Jul 2026]

Title:DANTINOX: A Unified Framework for Multi-Paradigm Language Modeling

View PDF HTML (experimental)Abstract:Language generation research increasingly spans three paradigms: autoregressive decoding, discrete masked diffusion, and continuous flow-matching. Comparing them is difficult because each lives in a separate codebase, so measured differences often reflect implementation details rather than the paradigms themselves. We present DantinoX, an open-source JAX/Flax library in which a single modular Transformer backbone serves all three paradigms. Switching the generation paradigm, attention mechanism, or hardware topology requires only a configuration change, while the backbone architecture, tokenizer, initialization strategy, and training infrastructure remain consistent. This enables controlled cross-paradigm comparisons within one API for training, streaming inference, and benchmarking.

References & Citations

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Bibliographic and Citation Tools

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Connected Papers (What is Connected Papers?)

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scite Smart Citations (What are Smart Citations?)

Code, Data and Media Associated with this Article

alphaXiv (What is alphaXiv?)

CatalyzeX Code Finder for Papers (What is CatalyzeX?)

DagsHub (What is DagsHub?)

Gotit.pub (What is GotitPub?)

Hugging Face (What is Huggingface?)

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Demos

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arXivLabs: experimental projects with community collaborators

arXivLabs is a framework that allows collaborators to develop and share new arXiv features directly on our website.

Both individuals and organizations that work with arXivLabs have embraced and accepted our values of openness, community, excellence, and user data privacy. arXiv is committed to these values and only works with partners that adhere to them.

Have an idea for a project that will add value for arXiv's community? Learn more about arXivLabs.

来源arxiv.org· 本文为编辑整理,仅供参考