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AURORA-LM: Autoencoding Unified Representation for Continuous-Latent Diffusion Language Modeling

71 upvotes · 3 AUG 2026 · Jiajun Liang, Yucheng Liao, Yukang Cao et al.

This paper introduces AURORA-LM, a continuous-latent diffusion language model that generates text by learning a high-capacity, decodable text latent and its distribution directly. Practitioners might care because it achieves state-of-the-art performance on text generation and summarization tasks.

continuous-latent diffusion modelslanguage modelsautoencodinglatent representationtransformers