arXiv:2609.17535v1 Announce Type: new 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.
DANTINOX: A Unified Framework for Multi-Paradigm Language Modeling
Researchers released DantinoX, an open-source JAX/Flax library that runs three language-generation paradigms — autoregressive decoding, discrete masked diffusion, and continuous flow-matching — on a single modular Transformer backbone, according to the arXiv paper 2609.17535v1. DantinoX lets users switch the generation paradigm, attention mechanism, or hardware topology through a configuration change while keeping the backbone architecture, tokenizer, initialization strategy, and training infrastructure consistent, enabling controlled cross-paradigm comparisons within one API for training, streaming inference, and benchmarking. The authors state the unified framework addresses the difficulty of comparing paradigms that previously lived in separate codebases, where measured differences often reflected implementation details rather than the paradigms themselves.
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