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[2026-04-07] Our Paper is accepted to ACL 2026 (main)! - [2026-01-13] Code of EvoToken-DLM Released! - [2026-01-12] Paper Released!
The main features of aim-uofa/evotokendlm are: Language Diffusion Models.
Projects with overlapping indexed features include: bytedance-seed/stable-diffcoder — Stable-DiffCoder: Pushing the Frontier of Code Diffusion Large Language Model. czg1225/dparallel — 🚀 dParallel: Learnable Parallel Decoding for dLLMs. dreamlm/dream-coder — Dream-Coder 7B is a diffusion LLM for code trained exclusively on open-source data across its development… dreamlm/dreamon — ](https://huggingface.co/Dream-org/DreamOn-v0-7B). dvruette/gidd — By Dimitri von Rütte, Janis Fluri, Yuhui Ding, Antonio Orvieto, Bernhard Schölkopf, Thomas Hofmann. ashenweli/discrete-diffusion-models-for-language-genaration — This thesis aimstoinvestigate thepotential of discrete diffusion models in the context ofnaturallanguagegeneration.
Stable-DiffCoder: Pushing the Frontier of Code Diffusion Large Language Model
Dream-Coder 7B is a diffusion LLM for code trained exclusively on open-source data across its development stages—adaptation, supervised fine-tuning, and reinforcement learning. It achieves an impressive 21.4% pass@1 on LiveCodeBench (2410-2505), outperforming other open-source diffusion LLMs by…
This thesis aimstoinvestigate thepotential of discrete diffusion models in the context ofnaturallanguagegeneration.
