| 111 | | 2025.2 | Kim | | | Train for the Worst, Plan for the Best: Understanding Token Ordering in Masked Diffusions |
| 110 | EdiText | 2025.2 | Lee | | | EdiText: Controllable Coarse-to-Fine Text Editing with Diffusion Language Models |
| 109 | TESS 2 | 2025.2 | Tae | github | | TESS 2: A Large-Scale Generalist Diffusion Language Model |
| 108 | LLaDA | 2025.2 | Nie | github | | Large Language Diffusion Models |
| 107 | CaDDi | 2025.2 | Zhang | | | Non-Markovian Discrete Diffusion with Causal Language Models |
| 106 | | 2025.2 | Feng | | | Theoretical Benefit and Limitation of Diffusion Language Model |
| 105 | SEPO | 2025.2 | Zekri | github | | Fine-Tuning Discrete Diffusion Models with Policy Gradient Methods |
| 104 | L2D | 2025.1 | Cetin | | | Large Language Models to Diffusion Finetuning |
| 103 | TermDiffuSum | 2025.1 | Dong | github | COLING 2025 | TermDiffuSum: A Term-guided Diffusion Model for Extractive Summarization of Legal Documents |
| 102 | CDA^2 | 2025.1 | Xin | | COLING 2025 | CDAˆ2: Counterfactual Diffusion Augmentation for Cross-Domain Adaptation in Low-Resource Sentiment Analysis |
| 102 | | 2025.1 | Asada | github | COLING 2025 | Addressing the Training-Inference Discrepancy in Discrete Diffusion for Text Generation |
| 101 | DiffETM | 2025.1 | Shao | | ICASSP 2025 | DiffETM: Diffusion Process Enhanced Embedded Topic Model |
| 100 | SLD | 2024.12 | Zhu | | | Segment-Level Diffusion: A Framework for Controllable Long-Form Generation with Diffusion Language Models |
| 99 | Diffusion-EAGS | 2024.11 | Koh | | | Conditional [MASK] Discrete Diffusion Language Model |
| 98 | DPCL-Diff | 2024.11 | Cao | | AAAI 2025 | DPCL-Diff: The Temporal Knowledge Graph Reasoning Based on Graph Node Diffusion Model with Dual-Domain Periodic Contrastive Learning |
| 97 | | 2024.10 | Ochs | github | | Private Synthetic Text Generation with Diffusion Models |
| 96 | EDLM | 2024.10 | Xu | | ICLR 2025 | Energy-Based Diffusion Language Models for Text Generation |
| 95 | SMDM | 2024.10 | Nie | github | ICLR 2025 | Scaling up Masked Diffusion Models on Text |
| 94 | | 2024.10 | Ren | | ICLR 2025 | How Discrete and Continuous Diffusion Meet: Comprehensive Analysis of Discrete Diffusion Models via a Stochastic Integral Framework |
| 93 | MGDM | 2024.10 | Ye | github | ICLR 2025 | Beyond Autoregression: Discrete Diffusion for Complex Reasoning and Planning |
| 92 | DiffLM | 2024.10 | Zhou | | | DiffLM: Controllable Synthetic Data Generation via Diffusion Language Models |
| 91 | DiffuLLaMA | 2024.10 | Gong | github | ICLR 2025 | Scaling Diffusion Language Models via Adaptation from Autoregressive Models |
| 90 | Meta-DiffuB | 2024.10 | Chuang | github | NeurIPS 2024 | Meta-DiffuB: A Contextualized Sequence-to-Sequence Text Diffusion Model with Meta-Exploration |
| 89 | REPA | 2024.10 | Yu | github | ICLR 2025 | Representation Alignment for Generation: Training Diffusion Transformers Is Easier Than You Think |
| 88 | DiffusionCLS | 2024.9 | Chen | github | EMNLP 2024 | An Effective Deployment of Diffusion LM for Data Augmentation in Low-Resource Sentiment Classification |
| 87 | FMSeq | 2024.9 | Liu | github | EMNLP 2024 | Enable Fast Sampling for Seq2Seq Text Diffusion |
| 86 | FHS | 2024.9 | Zheng | | ICLR 2025 | Masked Diffusion Models are Secretly Time-Agnostic Masked Models and Exploit Inaccurate Categorical Sampling |
| 85 | ReflectDiffu | 2024.9 | Yuan | github | | ReflectDiffu: Reflect between Emotion-intent Contagion and Mimicry for Empathetic Response Generation via a RL-Diffusion Framework |
| 84 | SpecDiff | 2024.8 | Christopher | | NeurIPS 2024 | Speculative Diffusion Decoding: Accelerating Language Generation through Diffusion |
| 83 | SEDD | 2023.10 | Lou | github | ICML 2024 | Discrete Diffusion Modeling by Estimating the Ratios of the Data Distribution |
| 82 | DGLM | 2024.7 | Lovelace | github | ACL 2024 | Diffusion Guided Language Modeling |
| 81 | GDP | 2024.7 | Zhu | null | ACL 2024 | Pinpointing Diffusion Grid Noise to Enhance Aspect Sentiment Quad Prediction |
| 80 | DiffusPoll | 2024.7 | Cheng | github | ACL 2024 | DiffusPoll: Conditional Text Diffusion Model for Poll Generation |
| 79 | | 2024.4 | Zhang | github | COLM 2024 | Forcing Diffuse Distributions out of Language Models |
| 78 | RADD | 2024.6 | Ou | github | | Your Absorbing Discrete Diffusion Secretly Models the Conditional Distributions of Clean Data |
| 77 | MDLM | 2024.6 | Sahoo | github | ICML 2024 | Simple and Effective Masked Diffusion Language Models |
| 76 | CrossMamba | 2024.7 | | | | Discrete Diffusion Language Model for Long Text Summarization |
| 75 | | 2024.6 | Deschenaux | | | Promises, Outlooks and Challenges of Diffusion Language Modeling |
| 74 | DIFFGLAT | 2024.6 | Qian | | NAACL 2024 | Diffusion Glancing Transformer for Parallel Sequence-to-Sequence Learning |
| 73 | P3Sum | 2024.6 | Liu | github | NAACL 2024 | P3Sum: Preserving Author’s Perspective in News Summarization with Diffusion Language Models |
| 72 | DiffusionDialog | 2024.4 | Xiang | github | LREC-COLING 2024 | DiffusionDialog: A Diffusion Model for Diverse Dialog Generation with Latent Space |
| 71 | LDP | 2024.4 | Zou | github | FCS | Enforcing Paraphrase Generation via Controllable Latent Diffusion |
| 70 | LanguageFlow | 2024.3 | Zhang | | NAACL 2024 | LanguageFlow: Advancing Diffusion Language Generation with Probabilistic Flows |
| 69 | FlowSeq | 2024.3 | Hu | github | EACL 2024 | Flow Matching for Conditional Text Generation in a Few Sampling Steps |
| 68 | IPED | 2024.3 | Zhao | null | NAACL 2024 | IPED: An Implicit Perspective for Relational Triple Extraction based on Diffusion Model |
| 67 | TEncDM | 2024.2 | Shabalin | github | AAAI 2025 | TEncDM: Understanding the Properties of the Diffusion Model in the Space of Language Model Encodings |
| 66 | DiffuCOMET | 2024.2 | Gao | github | ACL 2024 | DiffuCOMET: Contextual Commonsense Knowledge Diffusion |
| 65 | DiffusionABSA | 2024.2 | Liu | github | LREC-COLING 2024 | Let's Rectify Step by Step: Improving Aspect-based Sentiment Analysis with Diffusion Models |
| 64 | TREC | 2024.2 | Liu | | AAAI 2024 | Text Diffusionwith Reinforced Conditioning |
| 63 | Thinker-DDM | 2024.2 | Nachmani | | | Rethinking Human-like Translation Strategy: Integrating Drift-Diffusion Model with Large Language Models for Machine Translation |
| 62 | QE-CDLM | 2024.2 | Kang | github | | Quantized Embedding Vectors for Controllable Diffusion Language Models |
| 61 | DoT | 2024.2 | Ye | github | NeurIPS 2024 | Diffusion of Thoughts: Chain-of-Thought Reasoning in Diffusion Language Models |
| 60 | AR2Diff | 2024.1 | Han | | NeurIPS 2024 | Transfer Learning for Text Diffusion Models |
| 59 | ROIC-DM | 2024.1 | Yuan | | | ROIC-DM: Robust Text Inference and Classification via Diffusion Model |
| 58 | LDSeq | 2023.12 | Ding | | CSAI 2023 | LDSeq: Latent Diffusion Models for Sequence to Sequence Text Generation |
| 57 | CodeFusion | 2023.12 | Singh | github | EMNLP 2023 | CodeFusion: A Pre-trained Diffusion Model for Code Generation |
| 56 | DWGF | 2023.10 | Shi | github | EMNLP 2023 | A Diffusion Weighted Graph Framework for New Intent Discovery |
| 55 | ScanDL | 2023.10 | Bolliger | github | EMNLP 2023 | ScanDL: A Diffusion Model for Generating Synthetic Scanpaths on Texts |
| 54 | DeTiME | 2023.10 | Xu | github | EMNLP 2023 | DeTiME: Diffusion-Enhanced Topic Modeling using Encoder-decoder based LLM |
| 53 | InfoDiffusion | 2023.10 | Wang | github | EMNLP 2023 | InfoDiffusion: Information Entropy Aware Diffusion Process for Non-Autoregressive Text Generation |
| 52 | DiffuSeq-v2 | 2023.10 | Gong | github | EMNLP 2023 | DiffuSeq-v2: Bridging Discrete and Continuous Text Spaces for Accelerated Seq2Seq Diffusion Models |
| 51 | Diffusionllm | 2023.8 | Ye | github | | Diffusion Language Models Can Perform Many Tasks with Scaling and Instruction-Finetuning |
| 50 | ParaGuide | 2023.8 | Horvitz | github | AAAI 2024 | ParaGuide: Guided Diffusion Paraphrasers for Plug-and-Play Textual Style Transfer |
| 49 | Diff-KPE | 2023.8 | Luo | | LREC-COLING 2024 | Enhancing Phrase Representation by Information Bottleneck Guided Text Diffusion Process for Keyphrase Extraction |
| 48 | XDLM | 2023.7 | Chen | github | | XDLM: Cross-lingual Diffusion Language Model for Machine Translation |
| 47 | | 2023.7 | Wang | github | ECAI 2023 | How Does Diffusion Influence Pretrained Language Models on Out-of-Distribution Data? |
| 46 | PLANNER | 2023.6 | Zhang | github | NeurIPS 2023 | PLANNER: Generating Diversified Paragraph via Latent Language Diffusion Model |
| 45 | PoetryDiffusion | 2023.6 | Hu | github | AAAI 2024 | PoetryDiffusion: Towards Joint Semantic and Metrical Manipulation in Poetry Generation |
| 44 | DiffuDetox | 2023.6 | Floto | github | ACL 2023 | DiffuDetox: A Mixed Diffusion Model for Text Detoxification |
| 43 | BG-diffusion | 2023.6 | Tang | github | ACL 2023 | Can Diffusion Model Achieve Better Performance in Text Generation? Bridging the Gap between Training and Inference! |
| 42 | DIFFUSEMP | 2023.6 | Bi | github | ACL 2023 | DiffusEmp: A Diffusion Model-Based Framework with Multi-Grained Control for Empathetic Response Generation |
| 41 | SIDDMs | 2023.6 | Xu | | NeurIPS 2023 | Semi-Implicit Denoising Diffusion Models |
| 40 | | 2023.5 | Zou | | | A Survey of Diffusion Models in Natural Language Processing |
| 39 | TESS | 2023.5 | Mahabadi | github | EACL 2024 | TESS: Text-to-Text Self-Conditioned Simplex Diffusion |
| 38 | Diffusion-NAT | 2023.5 | zhou | github | EACL 2024 | Diffusion-NAT: Self-Prompting Discrete Diffusion for Non-Autoregressive Text Generation |
| 37 | DiffuSum | 2023.5 | Zhang | github | ACL 2023 | DiffuSum: Generation Enhanced Extractive Summarization with Diffusion |
| 36 | AR-Diffusion | 2023.5 | Wu | github | NeurIPS 2023 | AR-Diffusion: Auto-Regressive Diffusion Model for Text Generation |
| 35 | DiffuSeq_StylePTB | 2023.5 | Lyu | github | ACL 2023 | Fine-grained Text Style Transfer with Diffusion-Based Language Models |
| 34 | | 2023.5 | Li | github | IJCAI 2023 | Diffusion Models for Non-autoregressive Text Generation: A Survey |
| 33 | SSD-2 | 2023.5 | Han | null | NAACL 2024 | David helps Goliath: Inference-Time Collaboration Between Small Specialized and Large General Diffusion LMs |
| 32 | Plaid | 2023.5 | Gulrajani | github | NeurIPS 2023 | Likelihood-Based Diffusion Language Models |
| 31 | GlyphDiffusion | 2023.4 | Li | | | GlyphDiffusion: Text Generation as Image Generation |
| 30 | Masked-Diffuse LM | 2023.4 | Chen | github | EMNLP 2023 | A Cheaper and Better Diffusion Language Model with Soft-Masked Noise |
| 29 | RDM | 2023.2 | Zheng | github | COLM 2024 | A reparameterized discrete diffusion model for text generation |
| 28 | ControlNet | 2023.2 | Zhang | github | ICCV 2023 | Adding Conditional Control to Text-to-Image Diffusion Models |
| 27 | DINOISER | 2023.2 | Ye | github | TACL 2024 | DINOISER: diffused conditional sequence learning by manipulating noises |
| 26 | | 2023.2 | Pidstrigach | | JMLR 2023 | Infinite-Dimensional Diffusion Models |
| 25 | SeqDiffuSeq | 2022.12 | Yuan | github | NAACL 2024 | Text Diffusion Model with Encoder-Decoder Transformers for Sequence-to-Sequence Generation |
| 24 | LD4LG | 2022.12 | Lovelace | github | NeurIPS 2023 | Latent Diffusion for Language Generation |
| 23 | GENIE | 2022.12 | Lin | github | ICML 2023 | Text Generation with Diffusion Language Models: A Pre-training Approach with Continuous Paragraph Denoise |
| 22 | Difformer | 2022.12 | Gao | github | NAACL 2024 | Empowering Diffusion Models on the Embedding Space for Text Generation |
| 21 | SED | 2022.11 | Strudel | github | | Self-conditioned Embedding Diffusion for Text Generation |
| 20 | DiffusionBERT | 2022.11 | He | github | ACL 2023 | DiffusionBERT: Improving Generative Masked Language Models with Diffusion Models |
| 19 | CDCD | 2022.11 | Dieleman | unofficial | | Continuous diffusion for categorical data |
| 18 | DiffusER | 2022.10 | Reid | null | ICLR 2023 | DiffusER: Discrete Diffusion via Edit-based Reconstruction |
| 17 | SSD-LM | 2022.10 | Han | github | ACL2023 | Semi-autoregressive Simplex-based Diffusion Language Model for Text Generation and Modular Control |
| 16 | DiffuSeq | 2022.10 | Gong | github | ICLR 2023 | DiffuSeq: Sequence to Sequence Text Generation with Diffusion Models |
| 15 | | 2022.9 | Yang | github | ACM Computing Surveys | Diffusion Models: A Comprehensive Survey of Methods and Applications |
| 14 | LatentOps | 2022.8 | Liu | github | EMNLP 2023 | Composable Text Controls in Latent Space with ODEs |
| 13 | Bit Diffusion | 2022.8 | Chen | github | ICLR 2023 | Analog Bits: Generating Discrete Data using Diffusion Models with Self-Conditioning |
| 12 | Classifier-Free | 2022.7 | Ho | github | NeurIPS 2021 | Classifier-Free Diffusion Guidance |
| 11 | Diffusion-LM | 2022.5 | Li | github | NeurIPS 2022 | Diffusion-LM Improves Controllable Text Generation |
| 10 | SUNDAE | 2021.12 | Savinov | unofficial | ICLR 2022 | Step-unrolled Denoising Autoencoders for Text Generation |
| 9 | LDM | 2021.12 | Rombach | github | CVPR 2022 | High-Resolution Image Synthesis with Latent Diffusion Models |
| 8 | ARDM | 2021.10 | Hoogeboom | github | ICLR 2022 | Autoregressive Diffusion Models |
| 7 | VDM | 2021.7 | Kingma | github | NeurIPS 2021 | Variational Diffusion Models |
| 6 | D3PMs | 2021.7 | Austin | unofficial | NeurIPS 2021 | Structured Denoising Diffusion Models in Discrete State-Spaces |
| 5 | Classifier-guidance | 2021.5 | Dhariwal | github | NeurIPS 2021 | Diffusion Models Beat GANs on Image Synthesis |
| 4 | IDDPM | 2021.2 | Nichol | github | ICML 2021 | Improved Denoising Diffusion Probabilistic Models |
| 3 | Argmax Flows | 2021.2 | Hoogeboom | github | NeurIPS 2021 | Argmax Flows and Multinomial Diffusion: Learning Categorical Distributions |
| 2 | TimeGrad | 2021.1 | Rasul | github | ICML 2021 | Autoregressive Denoising Diffusion Models for Multivariate Probabilistic Time Series Forecasting |
| 1 | DDIM | 2020.10 | Song | github | ICLR 2021 | Denoising Diffusion Implicit Models |
| 0 | DDPM | 2020.6 | Ho | github | NeurIPS 2020 | Denoising Diffusion Probabilistic Models |