SEDD |
2023.10 |
Lou |
github |
ICML 2024 |
Discrete Diffusion Modeling by Estimating the Ratios of the Data Distribution |
|
2024.7 |
Lovelace |
|
ACL 2024 |
Diffusion Guided Language Modeling |
GDP |
2024.7 |
Zhu |
|
ACL 2024 |
Pinpointing Diffusion Grid Noise to Enhance Aspect Sentiment Quad Prediction |
DiffusPoll |
2024.7 |
Cheng |
|
ACL 2024 |
DiffusPoll: Conditional Text Diffusion Model for Poll Generation |
|
2024.4 |
Zhang |
github |
|
Forcing Diffuse Distributions out of Language Models |
RADD |
2024.6 |
Ou |
|
|
Your Absorbing Discrete Diffusion Secretly Models the Conditional Distributions of Clean Data |
MDLM |
2024.6 |
Sahoo |
github |
|
Simple and Effective Masked Diffusion Language Models |
|
2024.7 |
|
|
Submitted to ACL ARR 2024 June |
Discrete Diffusion Language Model for Long Text Summarization |
|
2024.6 |
Deschenaux |
|
|
Promises, Outlooks and Challenges of Diffusion Language Modeling |
DIFFGLAT |
2024.6 |
Qian |
|
NAACL 2024 |
Diffusion Glancing Transformer for Parallel Sequence-to-Sequence Learning |
P3Sum |
2024.6 |
Liu |
github |
NAACL 2024 |
P3Sum: Preserving Author’s Perspective in News Summarization with Diffusion Language Models |
DiffusionDialog |
2024.4 |
Xiang |
|
LREC-COLING 2024 |
DiffusionDialog: A Diffusion Model for Diverse Dialog Generation with Latent Space |
LDP |
2024.4 |
Zou |
github |
Submitted to ACL ARR 2024 Feb |
Enforcing Paraphrase Generation via Controllable Latent Diffusion |
LanguageFlow |
2024.3 |
Zhang |
|
NAACL 2024 |
LanguageFlow: Advancing Diffusion Language Generation with Probabilistic Flows |
FlowSeq |
2024.3 |
Hu |
|
EACL 2024 |
Flow Matching for Conditional Text Generation in a Few Sampling Steps |
IPED |
2024.3 |
Zhao |
null |
NAACL 2024 |
IPED: An Implicit Perspective for Relational Triple Extraction based on Diffusion Model |
TEncDM |
2024.2 |
Shabalin |
|
Submitted to ACL 2024 |
TEncDM: Understanding the Properties of Diffusion Model in the Space of Language Model Encodings |
DiffuCOMET |
2024.2 |
Gao |
|
ACL 2024 |
DiffuCOMET: Contextual Commonsense Knowledge Diffusion |
DiffusionABSA |
2024.2 |
Liu |
github |
LREC-COLING 2024 |
Let's Rectify Step by Step: Improving Aspect-based Sentiment Analysis with Diffusion Models |
TREC |
2024.2 |
Liu |
|
AAAI 2024 |
Text Diffusion with Reinforced Conditioning |
Thinker-DDM |
2024.2 |
Nachmani |
|
|
Rethinking Human-like Translation Strategy: Integrating Drift-Diffusion Model with Large Language Models for Machine Translation |
QE-CDLM |
2024.2 |
Kang |
github |
|
Quantized Embedding Vectors for Controllable Diffusion Language Models |
DoT |
2024.2 |
Ye |
github |
|
Diffusion of Thoughts: Chain-of-Thought Reasoning in Diffusion Language Models |
AR2Diff |
2024.1 |
Han |
|
|
Transfer Learning for Text Diffusion Models |
ROIC-DM |
2024.1 |
Yuan |
|
|
ROIC-DM: Robust Text Inference and Classification via Diffusion Model |
LDSeq |
2023.12 |
Ding |
|
CSAI 2023 |
LDSeq: Latent Diffusion Models for Sequence to Sequence Text Generation |
CodeFusion |
2023.12 |
Singh |
github |
EMNLP 2023 |
CodeFusion: A Pre-trained Diffusion Model for Code Generation |
DWGF |
2023.10 |
Shi |
github |
EMNLP 2023 |
A Diffusion Weighted Graph Framework for New Intent Discovery |
ScanDL |
2023.10 |
Bolliger |
github |
EMNLP 2023 |
ScanDL: A Diffusion Model for Generating Synthetic Scanpaths on Texts |
DeTiME |
2023.10 |
Xu |
github |
EMNLP 2023 |
DeTiME: Diffusion-Enhanced Topic Modeling using Encoder-decoder based LLM |
InfoDiffusion |
2023.10 |
Wang |
github |
EMNLP 2023 |
InfoDiffusion: Information Entropy Aware Diffusion Process for Non-Autoregressive Text Generation |
DiffuSeq-v2 |
2023.10 |
Gong |
github |
EMNLP 2023 |
DiffuSeq-v2: Bridging Discrete and Continuous Text Spaces for Accelerated Seq2Seq Diffusion Models |
Diffusionllm |
2023.8 |
Ye |
github |
Submitted to ICLR 2024 |
Diffusion Language Models Can Perform Many Tasks with Scaling and Instruction-Finetuning |
ParaGuide |
2023.8 |
Horvitz |
github |
AAAI 2024 |
ParaGuide: Guided Diffusion Paraphrasers for Plug-and-Play Textual Style Transfer |
Diff-KPE |
2023.8 |
Luo |
|
LREC-COLING 2024 |
Enhancing Phrase Representation by Information Bottleneck Guided Text Diffusion Process for Keyphrase Extraction |
XDLM |
2023.7 |
Chen |
github |
|
XDLM: Cross-lingual Diffusion Language Model for Machine Translation |
|
2023.7 |
Wang |
github |
ECAI 2023 |
How Does Diffusion Influence Pretrained Language Models on Out-of-Distribution Data? |
PLANNER |
2023.6 |
Zhang |
github |
NeurIPS 2023 |
PLANNER: Generating Diversified Paragraph via Latent Language Diffusion Model |
PoetryDiffusion |
2023.6 |
Hu |
github |
AAAI 2024 |
PoetryDiffusion: Towards Joint Semantic and Metrical Manipulation in Poetry Generation |
DiffuDetox |
2023.6 |
Floto |
github |
ACL 2023 |
DiffuDetox: A Mixed Diffusion Model for Text Detoxification |
BG-diffusion |
2023.6 |
Tang |
github |
ACL 2023 |
Can Diffusion Model Achieve Better Performance in Text Generation? Bridging the Gap between Training and Inference! |
DIFFUSEMP |
2023.6 |
Bi |
github |
ACL 2023 |
DiffusEmp: A Diffusion Model-Based Framework with Multi-Grained Control for Empathetic Response Generation |
SIDDMs |
2023.6 |
Xu |
|
NeurIPS 2023 |
Semi-Implicit Denoising Diffusion Models |
|
2023.5 |
Zou |
|
|
A Survey of Diffusion Models in Natural Language Processing |
TESS |
2023.5 |
Mahabadi |
github |
EACL 2024 |
TESS: Text-to-Text Self-Conditioned Simplex Diffusion |
Diffusion-NAT |
2023.5 |
zhou |
|
EACL 2024 |
Diffusion-NAT: Self-Prompting Discrete Diffusion for Non-Autoregressive Text Generation |
DiffuSum |
2023.5 |
Zhang |
github |
ACL 2023 |
DiffuSum: Generation Enhanced Extractive Summarization with Diffusion |
AR-Diffusion |
2023.5 |
Wu |
github |
NeurIPS 2023 |
AR-Diffusion: Auto-Regressive Diffusion Model for Text Generation |
DiffuSeq_StylePTB |
2023.5 |
Lyu |
github |
ACL 2023 |
Fine-grained Text Style Transfer with Diffusion-Based Language Models |
|
2023.5 |
Li |
github |
IJCAI 2023 |
Diffusion Models for Non-autoregressive Text Generation: A Survey |
SSD-2 |
2023.5 |
Han |
null |
NAACL 2024 |
David helps Goliath: Inference-Time Collaboration Between Small Specialized and Large General Diffusion LMs |
Plaid |
2023.5 |
Gulrajani |
github |
NeurIPS 2023 |
Likelihood-Based Diffusion Language Models |
GlyphDiffusion |
2023.4 |
Li |
|
Submitted to ACL ARR 2023 Aug |
GlyphDiffusion: Text Generation as Image Generation |
Masked-Diffuse LM |
2023.4 |
Chen |
github |
EMNLP 2023 |
A Cheaper and Better Diffusion Language Model with Soft-Masked Noise |
RDM |
2023.2 |
Zheng |
github |
Submitted to ICLR 2024 |
A reparameterized discrete diffusion model for text generation |
ControlNet |
2023.2 |
Zhang |
github |
ICCV2023 |
Adding Conditional Control to Text-to-Image Diffusion Models |
DINOISER |
2023.2 |
Ye |
github |
TACL 2024 |
DINOISER: diffused conditional sequence learning by manipulating noises |
|
2023.2 |
Pidstrigach |
|
|
Infinite-Dimensional Diffusion Models for Function Spaces |
SeqDiffuSeq |
2022.12 |
Yuan |
github |
NAACL 2024 |
Text Diffusion Model with Encoder-Decoder Transformers for Sequence-to-Sequence Generation |
LD4LG |
2022.12 |
Lovelace |
github |
NeurIPS 2023 |
Latent Diffusion for Language Generation |
GENIE |
2022.12 |
Lin |
github |
ICML 2023 |
Text Generation with Diffusion Language Models: A Pre-training Approach with Continuous Paragraph Denoise |
Difformer |
2022.12 |
Gao |
github |
NAACL 2024 |
Empowering Diffusion Models on the Embedding Space for Text Generation |
SED |
2022.11 |
Strudel |
github |
Submitted to ICLR 2023 |
Self-conditioned Embedding Diffusion for Text Generation |
DiffusionBERT |
2022.11 |
He |
github |
ACL 2023 |
DiffusionBERT: Improving Generative Masked Language Models with Diffusion Models |
CDCD |
2022.11 |
Dieleman |
unofficial |
|
Continuous diffusion for categorical data |
DiffusER |
2022.10 |
Reid |
null |
ICLR 2023 |
DiffusER: Discrete Diffusion via Edit-based Reconstruction |
SSD-LM |
2022.10 |
Han |
github |
ACL2023 |
Semi-autoregressive Simplex-based Diffusion Language Model for Text Generation and Modular Control |
DiffuSeq |
2022.10 |
Gong |
github |
ICLR 2023 |
DiffuSeq: Sequence to Sequence Text Generation with Diffusion Models |
|
2022.9 |
Yang |
github |
ACM Computing Surveys |
Diffusion Models: A Comprehensive Survey of Methods and Applications |
LatentOps |
2022.8 |
Liu |
github |
EMNLP 2023 |
Composable Text Controls in Latent Space with ODEs |
Bit Diffusion |
2022.8 |
Chen |
github |
ICLR 2023 |
Analog Bits: Generating Discrete Data using Diffusion Models with Self-Conditioning |
Classifier-Free |
2022.7 |
Ho |
github |
NeurIPS 2021 |
Classifier-Free Diffusion Guidance |
Diffusion-LM |
2022.5 |
Li |
github |
NeurIPS 2022 |
Diffusion-LM Improves Controllable Text Generation |
SUNDAE |
2021.12 |
Savinov |
unofficial |
ICLR 2022 |
Step-unrolled Denoising Autoencoders for Text Generation |
LDM |
2021.12 |
Rombach |
github |
CVPR 2022 |
High-Resolution Image Synthesis with Latent Diffusion Models |
|
2021.11 |
Nachmani |
|
|
Zero-Shot Translation using Diffusion Models |
ARDM |
2021.10 |
Hoogeboom |
github |
ICLR 2022 |
Autoregressive Diffusion Models |
VDM |
2021.7 |
Kingma |
github |
NeurIPS 2021 |
Variational Diffusion Models |
D3PMs |
2021.7 |
Austin |
unofficial |
NeurIPS 2021 |
Structured Denoising Diffusion Models in Discrete State-Spaces |
Classifier-guidance |
2021.5 |
Dhariwal |
github |
NeurIPS 2021 |
Diffusion Models Beat GANs on Image Synthesis |
IDDPM |
2021.2 |
Nichol |
github |
ICML 2021 |
Improved Denoising Diffusion Probabilistic Models |
Argmax Flows |
2021.2 |
Hoogeboom |
github |
NeurIPS 2021 |
Argmax Flows and Multinomial Diffusion: Learning Categorical Distributions |
TimeGrad |
2021.1 |
Rasul |
github |
ICML 2021 |
Autoregressive Denoising Diffusion Models for Multivariate Probabilistic Time Series Forecasting |
DDIM |
2020.10 |
Song |
github |
ICLR 2021 |
Denoising Diffusion Implicit Models |
DDPM |
2020.6 |
Ho |
github |
NeurIPS 2020 |
Denoising Diffusion Probabilistic Models |