Zarya: A Hybrid Autoregressive--Masked Diffusion Language Model with Flexible Training and Dual-Mode Inference
Zarya is introduced, a family of hybrid language models that jointly optimizes an autoregressive (AR) objective and a masked-diffusion objective within a single architecture, demonstrating performance on standard benchmarks while offering a principled integration of autoregressive and diffusion paradigms.