All Topics
All Topics
Technology
Technology
AI
AI
Business
Business
Entertainment
Entertainment
News
News
Programming
Programming
Science
Science
Design
Design
Environment
Environment
Finance
Finance
Crypto
Crypto
Politics
Politics
Sports
Sports
Education
Education
Gaming
Gaming
Art
Art
Music
Music
Health
Health
Security
Security
Books
Books
Food
Food
Travel
Travel
Personal
Personal
Bluesky
Twitter

[ICML 2026] The Flexibility Trap: Rethinking the Value of Arbitrary Order in Diffusion Language Models

2d agoen
Read on arxiviq.substack.com

From the article

Authors: Zanlin Ni, Shenzhi Wang, Yang Yue, Tianyu Yu, Weilin Zhao, Yeguo Hua, Tianyi Chen, Jun Song, Cheng Yu, Bo Zheng, Gao Huang
Continue reading on arxiviq.substack.com

You might also wanna read

SemDLM+: Improving Diffusion Language Models by Balancing Bias and Variance in Transition Kernel Design

This paper analyzes sensitivity in Diffusion Language Models (DLMs) through generalization error analysis, identifying three critical factor

arxiv.org·22d ago

Consistency Diffusion Language Models Achieve 14x Faster Inference Through KV Caching and Step Reduction

Consistency Diffusion Language Models (CDLM) represent a breakthrough in language model architecture that addresses key limitations of stand

together.ai·4mo ago

Consistency Diffusion Language Models Achieve 14x Faster Inference Through KV Caching and Step Reduction

Consistency Diffusion Language Models (CDLM) represent a breakthrough in language model architecture that addresses key limitations of stand

Together·4mo ago

Google's DiffusionGemma achieves 4x faster text generation using diffusion-based approach

DiffusionGemma is a new text generation model from Google that achieves up to 4x faster inference speeds compared to traditional autoregress

deepmind.google·24d ago

Three training-time interventions improve diffusion-based speculative decoding by 21-76%

This paper presents an empirical analysis of three training-time interventions to improve speculative decoding with diffusion language model

arxiv.org·13d ago

Exploring the Connection Between Text Diffusion Models and BERT's Masked Language Modeling

This article explores the connection between diffusion models for text generation and traditional masked language modeling (MLM) used in BER

nathan.rs·8mo ago

Fast-dLLM: Training-Free Acceleration Method for Diffusion Language Models Using KV Cache and Parallel Decoding

Researchers introduce Fast-dLLM, a training-free acceleration method for diffusion-based large language models that addresses their slower i

arxiv.org·8mo ago

Comments

Sign in to join the conversation.

No comments yet. Be the first.