"non-autoregressive generation" Papers

d1: Scaling Reasoning in Diffusion Large Language Models via Reinforcement Learning

Siyan Zhao, Devaansh Gupta, Qinqing Zheng et al.

OpenOmni: Advancing Open-Source Omnimodal Large Language Models with Progressive Multimodal Alignment and Real-time Emotional Speech Synthesis

Run Luo, Ting-En Lin, Haonan Zhang et al.

TEncDM: Understanding the Properties of the Diffusion Model in the Space of Language Model Encodings

Alexander Shabalin, Viacheslav Meshchaninov, Egor Chimbulatov et al.

PoetryDiffusion: Towards Joint Semantic and Metrical Manipulation in Poetry Generation

PolyOculus: Simultaneous Multi-view Image-based Novel View Synthesis

Jason Yu, Tristan Aumentado-Armstrong, Fereshteh Forghani et al.

Promises and Pitfalls of Generative Masked Language Modeling: Theoretical Framework and Practical Guidelines

Yuchen Li, Alexandre Kirchmeyer, Aashay Mehta et al.

Spot the Error: Non-autoregressive Graphic Layout Generation with Wireframe Locator

Jieru Lin, Danqing Huang, Tiejun Zhao et al.

Text Diffusion with Reinforced Conditioning

Yuxuan Liu, Tianchi Yang, Shaohan Huang et al.