Researchers at ByteDance propose a novel randomized auto-regressive model (RAR) for image generation that outperforms ...

In news your 8-year-old kid probably knew about weeks ago somehow, a new Minecraft rip-off is available to play online. In a ...

HART overcame the limitations of previous autoregressive (AR) models by using a hybrid tokenizer that combined discrete and continuous tokens. This approach improved image reconstruction quality and ...

In statistics, econometrics, and signal processing, an autoregressive (AR) model is a representation of a type of random process; as such, it can be used to describe certain time-varying processes in ...

Considering the major influence of autoregressive (AR) generative models, such as Large Language Models ... This stands in sharp contrast to natural language processing (NLP), where the autoregressive ...

Current Diffusion Language Models (DLMs) have been studied at a smaller scale compared to their autoregressive (AR) counterparts and lack fair comparison on language modeling benchmarks. Additionally, ...

Therefore, viewing the uncertain stoves changing as a stochastic process, a dual auto-regressive hidden semi-Markov model (D-AR-HSMM) is proposed for predicting ... thus forming a dual-autoregressive ...

The Swiss start-up Almer Technologies will seek to build on the success of its Arc 2 headset as part of a larger global ...