A Collection of Papers on Diffusion Large Language Models
☆49May 12, 2026Updated 3 months ago
Alternatives and similar repositories for Awesome-Diffusion-LLM
Users that are interested in Awesome-Diffusion-LLM are comparing it to the libraries listed below. We may earn a commission when you buy through links labeled 'Ad' on this page.
Sorting:
- [ICML'24] Open-Vocabulary Calibration for Fine-tuned CLIP☆18Jun 14, 2024Updated 2 years ago
- [ICML'24] Conformal Prediction for Deep Classifier via Label Ranking☆14Jun 14, 2024Updated 2 years ago
- Tracking the latest and greatest research papers on diffusion large language models.☆32Mar 13, 2026Updated 5 months ago
- [ICLR 2026] dParallel: Learnable Parallel Decoding for dLLMs☆66Apr 12, 2026Updated 4 months ago
- A comprehensive list of papers about Large-Language-Diffusion-Models.☆98Aug 9, 2026Updated last week
- 1-Click AI Models by DigitalOcean Gradient • AdDeploy popular AI models on DigitalOcean Gradient GPU virtual machines with just a single click. Zero configuration with optimized deployments.
- OpenDLM is an open-source library focused on sampling algorithms for Diffusion Language Models (DLMs).☆15Aug 5, 2025Updated last year
- Pytorch implementation for ICLR24:"Online GNN Evaluation Under Test-Time Graph Distribution Shifts"☆16Mar 23, 2024Updated 2 years ago
- GOODAT: Towards Test-time Graph Out-of-Distribution Detection☆12Mar 18, 2024Updated 2 years ago
- [NeurIPS 2025 Spotlight] Implementation of "KLASS: KL-Guided Fast Inference in Masked Diffusion Models"☆34Jan 3, 2026Updated 7 months ago
- paper list, tutorial, and nano code snippet for Diffusion Large Language Models.☆170Jan 19, 2026Updated 6 months ago
- Official code for ICML 2022: Open-Sampling: Exploring Out-of-Distribution Data for Re-balancing Long-tailed Datasets☆15Jul 5, 2022Updated 4 years ago
- Official implementation of "Open-set Label Noise Can Improve Robustness Against Inherent Label Noise" (NeurIPS 2021)☆20Jul 5, 2022Updated 4 years ago
- The official GitHub repo for the survey paper "A Survey on Diffusion Language Models".☆1,177Updated this week
- ☆165Mar 30, 2026Updated 4 months ago
- End-to-end encrypted cloud storage - Proton Drive • AdSpecial offer: 40% Off Yearly / 80% Off First Month. Protect your most important files, photos, and documents from prying eyes.
- [ICLR 2026] Official repository of "Beyond Fixed: Training-Free Variable-Length Denoising for Diffusion Large Language Models"☆174Feb 16, 2026Updated 6 months ago
- Proof-of-concept implementation for the paper "ThermalScope: A Practical Interrupt Side Channel Attack Based On Thermal Event Interrupts"…☆13Dec 17, 2024Updated last year
- ☆14Nov 18, 2025Updated 9 months ago
- A collection of papers on discrete diffusion models☆164Mar 9, 2026Updated 5 months ago
- Code for paper "SPG Sandwiched Policy Gradient for Masked Diffusion Language Models"☆63Oct 29, 2025Updated 9 months ago
- Free Draft-and-Verification: Toward Lossless Parallel Decoding for Diffusion Large Language Models☆23May 19, 2026Updated 2 months ago
- Official Implementation for the paper "d1: Scaling Reasoning in Diffusion Large Language Models via Reinforcement Learning"☆455Jan 26, 2026Updated 6 months ago
- dLLM: Simple Diffusion Language Modeling☆2,671Jul 17, 2026Updated last month
- (ECCV2022) EAGAN: EAGAN: Efficient Two-stage Evolutionary Architecture Search for GANs☆12Sep 15, 2022Updated 3 years ago
- 1-Click AI Models by DigitalOcean Gradient • AdDeploy popular AI models on DigitalOcean Gradient GPU virtual machines with just a single click. Zero configuration with optimized deployments.
- 本项目提供了基于910B的huggingface LLM模型的Tensor Parallel(TP)部署教程,同时也可以作为一份极简的TP学习代码。☆32Jan 6, 2026Updated 7 months ago
- Official implementation for "LangTime: A Language-Guided Unified Model for Time Series Forecasting with Proximal Policy Optimization"☆15Feb 9, 2026Updated 6 months ago
- Official code implementation for ICDE 23 paper MAMDR: A Model Agnostic Learning Method for Multi-Domain Recommendation☆39Nov 27, 2023Updated 2 years ago
- Easy and Efficient dLLM Fine-Tuning☆265Aug 4, 2026Updated 2 weeks ago
- Group-Group Loss Based Global-Regional Feature Learning for Vehicle Re-Identification☆12May 10, 2022Updated 4 years ago
- ☆29Apr 14, 2025Updated last year
- [NeurIPS'24] ARC: A Generalist Graph Anomaly Detector with In-Context Learning☆34Feb 10, 2026Updated 6 months ago
- Pytorch implementation of WWW'23:"Auto-HeG: Automated Graph Neural Network on Heterophilic Graphs"☆16Jul 2, 2023Updated 3 years ago
- Proof-of-concept implementation for the paper "SegScope: Probing Fine-grained Interrupts via Architectural Footprints" (HPCA'24)☆20Apr 2, 2026Updated 4 months ago
- Deploy on Railway without the complexity - Free Credits Offer • AdConnect your repo and Railway handles the rest with instant previews. Quickly provision container image services, databases, and storage volumes.
- Official Implementation of wd1☆32Sep 25, 2025Updated 10 months ago
- Open diffusion language model for code generation — releasing pretraining, evaluation, inference, and checkpoints.☆647Jul 20, 2026Updated 3 weeks ago
- [WSDM'23] GOOD-D: On Unsupervised Graph Out-Of-Distribution Detection☆45Mar 2, 2023Updated 3 years ago
- [Interspeech 2024] Enhancing Dysarthric Speech Recognition for Unseen Speakers via Prototype-Based Adaptation☆14Nov 28, 2024Updated last year
- Official repository for Beyond Binary Rewards: Training LMs to Reason about Their Uncertainty☆69Aug 20, 2025Updated 11 months ago
- A collection of papers and resources about Data-centric Graph Machine Learning (DC-GML).☆46Nov 1, 2023Updated 2 years ago
- [ICLR'26] Official code of paper "d2Cache: Accelerating Diffusion-based LLMs via Dual Adaptive Caching"☆159May 14, 2026Updated 3 months ago