[Submitted on 11 Jul 2026]
Title:DANTINOX: A Unified Framework for Multi-Paradigm Language Modeling
View a PDF of the paper titled DANTINOX: A Unified Framework for Multi-Paradigm Language Modeling, by Marco Simoni and 3 other authors
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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.
Subjects:
Computation and Language (cs.CL)
Cite as: arXiv:2609.17535 [cs.CL]
(or arXiv:2609.17535v1 [cs.CL] for this version)
https://doi.org/10.48550/arXiv.2609.17535
arXiv-issued DOI via DataCite
Submission history
From: Marco Simoni [view email] [v1] Sat, 11 Jul 2026 08:46:11 UTC (212 KB)
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