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AshenWELI/Discrete-Diffusion-Models-for-Language-Genaration

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1 star·0 forks·Python·Unlicense·15 views

Discrete Diffusion Models For Language Genaration

This thesis aimstoinvestigate thepotential of discrete diffusion models in the context ofnaturallanguagegeneration.

Features

  • Language Diffusion Models - Discrete diffusion models for language generation.

Star history

Star history chart for ashenweli/discrete-diffusion-models-for-language-genarationStar history chart for ashenweli/discrete-diffusion-models-for-language-genaration

How this analysis was created: This summary and feature list are AI-generated from collected project material and can contain mistakes. Stars, license and language are imported from GitHub. Inclusion does not mean that we have tested or audited this project. Check the source documentation for any feature you depend on. Learn more on our About page.

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Projects sharing features with Discrete Diffusion Models For Language Genaration

These projects share indexed features with Discrete Diffusion Models For Language Genaration. Shared tags can include platform or build tooling; verify the primary use case before treating a result as a replacement.
  • bytedance-seed/stable-diffcoderByteDance-Seed avatar

    ByteDance-Seed/Stable-DiffCoder

    84View on GitHub↗

    Stable-DiffCoder: Pushing the Frontier of Code Diffusion Large Language Model

    View on GitHub↗84
  • czg1225/dparallelczg1225 avatar

    czg1225/dParallel

    63View on GitHub↗

    🚀 dParallel: Learnable Parallel Decoding for dLLMs

    Python
    View on GitHub↗63
  • dreamlm/dream-coderDreamLM avatar

    DreamLM/Dream-Coder

    104View on GitHub↗

    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…

    Python
    View on GitHub↗104
  • aim-uofa/evotokendlmaim-uofa avatar

    aim-uofa/EvoTokenDLM

    48View on GitHub↗

    2026-04-07 Our Paper is accepted to ACL 2026 (main)! - 2026-01-13 Code of EvoToken-DLM Released! - 2026-01-12 Paper Released!

    Python
    View on GitHub↗48
Compare all 30 related projects→

Frequently asked questions

What does ashenweli/discrete-diffusion-models-for-language-genaration do?

This thesis aimstoinvestigate thepotential of discrete diffusion models in the context ofnaturallanguagegeneration.

What are the main features of ashenweli/discrete-diffusion-models-for-language-genaration?

The main features of ashenweli/discrete-diffusion-models-for-language-genaration are: Language Diffusion Models.

Which projects share features with ashenweli/discrete-diffusion-models-for-language-genaration?

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. aim-uofa/evotokendlm — [2026-04-07] Our Paper is accepted to ACL 2026 (main)! - [2026-01-13] Code of EvoToken-DLM Released! - [2026-01-12]…