Less Uniform Discrete Diffusion is More Powerful and Scalable
cs.CL, cs.AI
Submitted: 2026-09-21
Updated: 2026-09-21
Code: https://github.com/FMD-NEXT/LUDI
Project page: http://skylion007.github.io/OpenWebTextCorpus
Terminology
Sources
- Program Synthesis with Large Language Models
- LLaDA2.0: Scaling Up Diffusion Language Models to 100B
- Evaluating Large Language Models Trained on Code
- Think you have Solved Question Answering? Try ARC, the AI2 Reasoning Challenge
- Training Verifiers to Solve Math Word Problems
- Measuring Massive Multitask Language Understanding
- Flow Map Language Models: One-step Language Modeling via Continuous Denoising
- Discrete Diffusion Modeling by Estimating the Ratios of the Data Distribution
- Olmo 3
- GPQA: A Graduate-Level Google-Proof Q&A Benchmark
- From Next-Token to Next-Block: A Principled Adaptation Path for Diffusion LLMs
- LLaMA: Open and Efficient Foundation Language Models
- Fast-dLLM v2: Efficient Block-Diffusion LLM
- Dream 7B: Diffusion Large Language Models
- Instruction-Following Evaluation for Large Language Models
- LLaDA 1.5: Variance-Reduced Preference Optimization for Large Language Diffusion Models
- LLaDA-MoE: A Sparse MoE Diffusion Language Model
- Simple Denoising Diffusion Language Models
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