Exploring the Connection Between Text Diffusion Models and BERT's Masked Language Modeling
A while back, Google DeepMind unveiled Gemini Diffusion, an experimental language model that generates text using diffusion. Unlike traditional GPT-style models that generate one word at a time…
Read the full articleYou might also wanna read
Google's DiffusionGemma achieves 4x faster text generation using diffusion-based approach
An overview of DiffusionGemma, an exceptionally fast text generation model with up to 4x faster speeds.
Google's DiffusionGemma open AI model offers 4x faster text generation but faces accuracy trade-offs
Diffusion AI is most common in image generation, but it can make text outputs much faster.
arstechnica.com·1mo agoGoogle DeepMind's DiffusionGemma uses image-generation diffusion techniques to accelerate text output by up to 4x
Language model builds on diffusion tech to boost output performance by up to 4x, claims Chocolate Factory

[ICML 2026] The Flexibility Trap: Rethinking the Value of Arbitrary Order in Diffusion Language Models
Authors: Zanlin Ni, Shenzhi Wang, Yang Yue, Tianyu Yu, Weilin Zhao, Yeguo Hua, Tianyi Chen, Jun Song, Cheng Yu, Bo Zheng, Gao Huang
Set Diffusion: Breaking Free from Fixed-Length Constraints
Set diffusion models introduce a flexible approach to language generation, outperforming traditional models in speed and versatility by deco
Revolutionizing Decoding in Diffusion Language Models
New algorithms transform constrained decoding for diffusion language models, boosting accuracy with minimal overhead. Is this the future of

Comments
Sign in to join the conversation.
No comments yet. Be the first.