README.md

Awesome-Diffusion-Models-For-NLP

🔍 Table of Contents

• 🌟 What is Diffusion Model For NLP?
• 🔗 Surveys
• 📝 Papers
• 📍 Resources
• 🤗 Contribution
  • Contributors
  • Acknowledgement

🌟 What is the Diffusion Model For NLP?

🔗 Surveys

• Diffusion models in text generation: a survey Qiuhua Yi, Xiangfan Chen, Chenwei Zhang, Zehai Zhou, Linan Zhu, Xiangjie Kong. PeerJ Computer Science 2024 Feb

• An Overview of Diffusion Models for Text Generation Helena Čeović, Marin Šilić, Goran Delač, Klemo Vladimir. MIPRO 2023 Jun

• A Survey of Diffusion Models in Natural Language Processing Hao Zou, Zae Myung Kim, Dongyeop Kang. Arxiv 2023 May

• Diffusion Models in NLP: A Survey Yuansong Zhu, Yu Zhao. Arxiv 2023 Mar

• Diffusion Models for Non-autoregressive Text Generation: A Survey Yifan Li, Kun Zhou, Wayne Xin Zhao, Ji-Rong Wen. IJCAI 2023 Mar

📝 Papers

• Empowering Diffusion Models on the Embedding Space for Text Generation Zhujin Gao, Junliang Guo, Xu Tan, Yongxin Zhu, Fang Zhang, Jiang Bian, Linli Xu. NAACL 2024 June

• Simple and Effective Masked Diffusion Language Models Subham Sekhar Sahoo, Marianne Arriola, Yair Schiff, Aaron Gokaslan, Edgar Marroquin, Justin T Chiu, Alexander Rush, Volodymyr Kuleshov. Arxiv 2024 June

• Effective Integration of Text Diffusion and Pre-Trained Language Models with Linguistic Easy-First Schedule Yimin Ou, Ping Jian. LREC | COLING 2024 May

• Few-shot Temporal Pruning Accelerates Diffusion Models for Text Generation Bocheng Li, Zhujin Gao, Yongxin Zhu, Kun Yin, Haoyu Cao, Deqiang Jiang, Linli Xu. LREC | COLING 2024 May

• LaDiC: Are Diffusion Models Really Inferior to Autoregressive Counterparts for Image-to-Text Generation? Yuchi Wang, Shuhuai Ren, Rundong Gao, Linli Yao, Qingyan Guo, Kaikai An, Jianhong Bai, Xu Sun. NAACL 2024 Apr

• Enforcing Paraphrase Generation via Controllable Latent Diffusion Wei Zou, Ziyuan Zhuang, Shujian Huang, Jia Liu, Jiajun Chen. Arxiv 2024 Apr

• Diffuwords: A Contrastive Diffusion Model for Lexically Constrained Text Generation Jinqiao Dai, Pengsen Cheng, Jiamiao Liu, Jiayong Liu. SSRN 2024 Apr

• DiffusionDialog: A Diffusion Model for Diverse Dialog Generation with Latent Space Jianxiang Xiang, Zhenhua Liu, Haodong Liu, Yin Bai, Jia Cheng, Wenliang Chen. LREC | COLING 2024 Apr

• Improving Iteration-based Non-Autoregressive Language Model With Time Step Awareness Hang Jiang, Guoyong Cai, Xiaolu Tang. ICPADS 2024 Mar

• Language Rectified Flow: Advancing Diffusion Language Generation with Probabilistic Flows Shujian Zhang, Lemeng Wu, Chengyue Gong, Xingchao Liu. NAACL 2024 Mar

• Flow Matching for Conditional Text Generation in a Few Sampling Steps Vincent Hu, Di Wu, Yuki Asano, Pascal Mettes, Basura Fernando, Björn Ommer, Cees Snoek. EACL 2024 Mar

• Utilizing Latent Diffusion Model to Accelerate Sampling Speed and Enhance Text Generation Quality Chenyang Li, Long Zhang, Qiusheng Zheng. Special Issue Advances in Artificial Intelligence Engineering 2024 Mar

• LDSeq: Latent Diffusion Models for Sequence to Sequence Text Generation Yizhou Ding, Jidong Tian, Shanxing Mei, Yifan Zhou, Yuwu Dong, Hao He, Weisheng Hu. CSAI 2024 Mar

• Benchmarking Diffusion Models for Machine Translation Yunus Demirag, Danni Liu, Jan Niehues. EACL 2024 Mar

• Generating, Reconstructing, and Representing Discrete and Continuous Data: Generalized Diffusion with Learnable Encoding-Decoding Guangyi Liu, Yu Wang, Zeyu Feng, Qiyu Wu, Liping Tang, Yuan Gao, Zhen Li, Shuguang Cui, Julian McAuley, Eric P. Xing, Zichao Yang, Zhiting Hu. Arxiv 2024 Feb

• TEncDM: Understanding the Properties of Diffusion Model in the Space of Language Model Encodings Alexander Shabalin, Viacheslav Meshchaninov, Tingir Badmaev, Dmitry Molchanov, Grigory Bartosh, Sergey Markov, Dmitry Vetrov. Arxiv 2024 Feb

• DiffuCOMET: Contextual Commonsense Knowledge Diffusion Silin Gao, Mete Ismayilzada, Mengjie Zhao, Hiromi Wakaki, Yuki Mitsufuji, Antoine Bosselut. Arxiv 2024 Feb

• IPED: An Implicit Perspective for Relational Triple Extraction based on Diffusion Model Jianli Zhao, Changhao Xu, Bin Jiang. NAACL 2024 Feb

• Let's Rectify Step by Step: Improving Aspect-based Sentiment Analysis with Diffusion Models Shunyu Liu, Jie Zhou, Qunxi Zhu, Qin Chen, Qingchun Bai, Jun Xiao, Liang He. LREC | COLING 2024 Feb

• Text Diffusion with Reinforced Conditioning Yuxuan Liu, Tianchi Yang, Shaohan Huang, Zihan Zhang, Haizhen Huang, Furu Wei, Weiwei Deng, Feng Sun, Qi Zhang. Arxiv 2024 Feb

• Quantized Embedding Vectors for Controllable Diffusion Language Models Cheng Kang, Xinye Chen, Yong Hu, Daniel Novak. Arxiv 2024 Feb

• Diffusion of Thoughts: Chain-of-Thought Reasoning in Diffusion Language Models Jiacheng Ye, Shansan Gong, Liheng Chen, Lin Zheng, Jiahui Gao, Han Shi, Chuan Wu, Zhenguo Li, Wei Bi, Lingpeng Kong. Arxiv 2024 Feb

• Transfer Learning for Text Diffusion Models Kehang Han, Kathleen Kenealy, Aditya Barua, Noah Fiedel, Noah Constant. Arxiv 2024 Jan

• MDM: Meta diffusion model for hard-constrained text generation Wenjun Ke, Yikai Guo, Qi Liu, Wanyi Chen, Peng Wang, Haoran Luo, Zhizhao Luo. Knowledge-Based Systems 2024 Jan

• ROIC-DM: Robust Text Inference and Classification via Diffusion Model Shilong Yuan, Wei Yuan, Hongzhi Yin, Tieke He. Arxiv 2024 Jan

• Diffusion-EXR: Controllable Review Generation for Explainable Recommendation via Diffusion Models Ling Li, Shaohua Li, Winda Marantika, Alex C. Kot, Huijing Zhan. Arxiv 2023 Dec

• IPAD: Iterative, Parallel, and Diffusion-based Network for Scene Text Recognition Xiaomeng Yang, Zhi Qiao, Yu Zhou, Weiping Wang. Arxiv 2023 Dec

• DiffuVST: Narrating Fictional Scenes with Global-History-Guided Denoising Models Shengguang Wu, Mei Yuan, Qi Su. EMNLP 2023 Dec

• DiffusionSL: Sequence Labeling via Tag Diffusion Process Ziyang Huang, Pengfei Cao, Jun Zhao, Kang Liu. EMNLP 2023 Dec

• CodeFusion: A Pre-trained Diffusion Model for Code Generation Mukul Singh, José Cambronero, Sumit Gulwani, Vu Le, Carina Negreanu, Gust Verbruggen. EMNLP 2023 Oct

• Discrete Diffusion Modeling by Estimating the Ratios of the Data Distribution Aaron Lou, Chenlin Meng, Stefano Ermon. Arxiv 2023 Oct

• A Diffusion Weighted Graph Framework for New Intent Discovery Wenkai Shi, Wenbin An, Feng Tian, Qinghua Zheng, QianYing Wang, Ping Chen. EMNLP 2023 Oct

• ScanDL: A Diffusion Model for Generating Synthetic Scanpaths on Texts Lena Bolliger, David Reich, Patrick Haller, Deborah Jakobi, Paul Prasse, Lena Jäger. EMNLP 2023 Oct

• DeTiME: Diffusion-Enhanced Topic Modeling using Encoder-decoder based LLM Weijie Xu, Wenxiang Hu, Fanyou Wu, Srinivasan Sengamedu. EMNLP 2023 Oct

• Context-Aware Prompt for Generation-based Event Argument Extraction with Diffusion Models Lei Luo, Yajing Xu. CIKM 2023 Oct

• DiffuCom: A novel diffusion model for comment generation Jiamiao Liu, Pengsen Cheng, Jinqiao Dai, Jiayong Liu. Knowledge-Based Systems 2023 Oct

• InfoDiffusion: Information Entropy Aware Diffusion Process for Non-Autoregressive Text Generation Renzhi Wang, Jing Li, Piji Li. EMNLP 2023 Oct

• LADIDA: Latent Diffusion for Document Generation with Sequential Decoding Zihuiwen Ye, Elle Michelle Yang, Phil Blunsom. NeurIPS Workshop on Diffusion Models 2023 Oct

• DiffuSeq-v2: Bridging Discrete and Continuous Text Spaces for Accelerated Seq2Seq Diffusion Models Shansan Gong, Mukai Li, Jiangtao Feng, Zhiyong Wu, Lingpeng Kong. EMNLP 2023 Oct

• DiffusionRet: Diffusion-Enhanced Generative Retriever using Constrained Decoding Shanbao Qiao, Xuebing Liu, Seung-Hoon Na. EMNLP 2023 Oct

• ParaGuide: Guided Diffusion Paraphrasers for Plug-and-Play Textual Style Transfer Zachary Horvitz, Ajay Patel, Chris Callison-Burch, Zhou Yu, Kathleen McKeown. AAAI 2023 Aug

• Diffusion Language Models Can Perform Many Tasks with Scaling and Instruction-Finetuning Jiasheng Ye, Zaixiang Zheng, Yu Bao, Lihua Qian, Quanquan Gu. Arxiv 2023 Aug

• Enhancing Phrase Representation by Information Bottleneck Guided Text Diffusion Process for Keyphrase Extraction Yuanzhen Luo, Qingyu Zhou, Feng Zhou. LREC | COLING 2023 Aug

• How Does Diffusion Influence Pretrained Language Models on Out-of-Distribution Data? Huazheng Wang, Daixuan Cheng, Haifeng Sun, Jingyu Wang, Qi Qi, Jianxin Liao, Jing Wang, Cong Liu. ECAI 2023 Jul

• XDLM: Cross-lingual Diffusion Language Model for Machine Translation Linyao Chen, Aosong Feng, Boming Yang, Zihui Li. Arxiv 2023 Jul

• Controllable Conversation Generation with Conversation Structures via Diffusion Models Jiaao Chen, Diyi Yang. ACL 2023 Jul

• PoetryDiffusion: Towards Joint Semantic and Metrical Manipulation in Poetry Generation Zhiyuan Hu, Chumin Liu, Yue Feng, Anh Tuan Luu, Bryan Hooi. AAAI 2023 Jun

• DiffuDetox: A Mixed Diffusion Model for Text Detoxification Griffin Floto, Mohammad Mahdi Abdollah Pour, Parsa Farinneya, Zhenwei Tang, Ali Pesaranghader, Manasa Bharadwaj, Scott Sanner. ACL 2023 Jun

• PLANNER: Generating Diversified Paragraph via Latent Language Diffusion Model Yizhe Zhang, Jiatao Gu, Zhuofeng Wu, Shuangfei Zhai, Josh Susskind, Navdeep Jaitly. NeurIPS 2023 Jun

• DiffusEmp: A Diffusion Model-Based Framework with Multi-Grained Control for Empathetic Response Generation Guanqun Bi, Lei Shen, Yanan Cao, Meng Chen, Yuqiang Xie, Zheng Lin, Xiaodong He. ACL 2023 Jun

• Likelihood-Based Diffusion Language Models Ishaan Gulrajani, Tatsunori B. Hashimoto. NeurIPS 2023 May

• Dior-CVAE: Pre-trained Language Models and Diffusion Priors for Variational Dialog Generation Tianyu Yang, Thy Thy Tran, Iryna Gurevych. EMNLP 2023 May

• David helps Goliath: Inference-Time Collaboration Between Small Specialized and Large General Diffusion LMs Xiaochuang Han, Sachin Kumar, Yulia Tsvetkov, Marjan Ghazvininejad. Arxiv 2023 May

• Diffusionner: Boundary diffusion for named entity recognition Yongliang Shen, Kaitao Song, Xu Tan, Dongsheng Li, Weiming Lu, Yueting Zhuang. ACL 2023 May

• Fine-grained Text Style Transfer with Diffusion-Based Language Models Yiwei Lyu, Tiange Luo, Jiacheng Shi, Todd Hollon, Honglak Lee. RepL4NLP 2023 May

• DiffuSIA: A Spiral Interaction Architecture for Encoder-Decoder Text Diffusion Chao-Hong Tan, Jia-Chen Gu, Zhen-Hua Ling. Arxiv 2023 May

• Diffusion Language Models Generation Can Be Halted Early Sofia Maria Lo Cicero Vaina, Nikita Balagansky, Daniil Gavrilov. Arxiv 2023 May

• AR-Diffusion: Auto-Regressive Diffusion Model for Text Generation Tong Wu, Zhihao Fan, Xiao Liu, Yeyun Gong, Yelong Shen, Jian Jiao, Hai-Tao Zheng, Juntao Li, Zhongyu Wei, Jian Guo, Nan Duan, Weizhu Chen. NeurIPS 2023 May

• TESS: Text-to-Text Self-Conditioned Simplex Diffusion Rabeeh Karimi Mahabadi, Hamish Ivison, Jaesung Tae, James Henderson, Iz Beltagy, Matthew Peters, Arman Cohan. EACL 2023 May

• Can Diffusion Model Achieve Better Performance in Text Generation? Bridging the Gap between Training and Inference! Zecheng Tang, Pinzheng Wang, Keyan Zhou, Juntao Li, Ziqiang Cao, Min Zhang. ACL 2023 May

• Diffusion-NAT: Self-Prompting Discrete Diffusion for Non-Autoregressive Text Generation Kun Zhou, Yifan Li, Xin Zhao, Ji-Rong Wen. EACL 2023 May

• DiffuSum: Generation Enhanced Extractive Summarization with Diffusion Haopeng Zhang, Xiao Liu, Jiawei Zhang. ACL 2023 May

• GlyphDiffusion: Text Generation as Image Generation Junyi Li, Wayne Xin Zhao, Jian-Yun Nie, Ji-Rong Wen. Arxiv 2023 Apr

• A Cheaper and Better Diffusion Language Model with Soft-Masked Noise Jiaao Chen, Aston Zhang, Mu Li, Alex Smola, Diyi Yang. EMNLP 2023 Apr

• DINOISER: Diffused Conditional Sequence Learning by Manipulating Noises Jiasheng Ye, Zaixiang Zheng, Yu Bao, Lihua Qian, Mingxuan Wang.* TACL 2023 Feb

• A Reparameterized Discrete Diffusion Model for Text Generation Lin Zheng, Jianbo Yuan, Lei Yu, Lingpeng Kong. Arxiv 2023 Feb

• Text Generation with Diffusion Language Models: A Pre-training Approach with Continuous Paragraph Denoise Zhenghao Lin, Yeyun Gong, Yelong Shen, Tong Wu, Zhihao Fan, Chen Lin, Nan Duan, Weizhu Chen. ICML 2022 Dec

• SeqDiffuSeq: Text Diffusion with Encoder-Decoder Transformers Hongyi Yuan, Zheng Yuan, Chuanqi Tan, Fei Huang, Songfang Huang. Arxiv 2022 Dec

• Latent Diffusion for Language Generation Justin Lovelace, Varsha Kishore, Chao Wan, Eliot Shekhtman, Kilian Q. Weinberger. NeurIPS 2022 Dec

• Empowering Diffusion Models on the Embedding Space for Text Generation Zhujin Gao, Junliang Guo, Xu Tan, Yongxin Zhu, Fang Zhang, Jiang Bian, Linli Xu. NAACL 2022 Dec

• DiffusionBERT: Improving Generative Masked Language Models with Diffusion Models Zhengfu He, Tianxiang Sun, Qiong Tang, Kuanning Wang, Xuanjing Huang, Xipeng Qiu. ACL 2022 Nov

• Continuous diffusion for categorical data Sander Dieleman, Laurent Sartran, Arman Roshannai, Nikolay Savinov, Yaroslav Ganin, Pierre H. Richemond, Arnaud Doucet, Robin Strudel, Chris Dyer, Conor Durkan, Curtis Hawthorne, Rémi Leblond, Will Grathwohl, Jonas Adler. Arxiv 2022 Nov

• Self-conditioned Embedding Diffusion for Text Generation Robin Strudel, Corentin Tallec, Florent Altché, Yilun Du, Yaroslav Ganin, Arthur Mensch, Will Grathwohl, Nikolay Savinov, Sander Dieleman, Laurent Sifre, Rémi Leblond. Arxiv 2022 Nov

• SSD-LM: Semi-autoregressive Simplex-based Diffusion Language Model for Text Generation and Modular Control Xiaochuang Han, Sachin Kumar, Yulia Tsvetkov. ACL 2022 Oct

• DiffusER: Discrete Diffusion via Edit-based Reconstruction Machel Reid, Vincent J. Hellendoorn, Graham Neubig. Arxiv 2022 Oct

• DiffuSeq: Sequence to Sequence Text Generation with Diffusion Models Shansan Gong, Mukai Li, Jiangtao Feng, Zhiyong Wu, Lingpeng Kong. ICLR 2022 Oct

• Analog Bits: Generating Discrete Data using Diffusion Models with Self-Conditioning Ting Chen, Ruixiang Zhang, Geoffrey Hinton. ICLR 2022 Aug

• Composable Text Controls in Latent Space with ODEs Guangyi Liu, Zeyu Feng, Yuan Gao, Zichao Yang, Xiaodan Liang, Junwei Bao, Xiaodong He, Shuguang Cui, Zhen Li, Zhiting Hu. EMNLP 2022 Aug

• Latent Diffusion Energy-Based Model for Interpretable Text Modelling Peiyu Yu, Sirui Xie, Xiaojian Ma, Baoxiong Jia, Bo Pang, Ruiqi Gao, Yixin Zhu, Song-Chun Zhu, Ying Nian Wu. ICML 2022 Jun

• Diffusion-LM Improves Controllable Text Generation Xiang Lisa Li, John Thickstun, Ishaan Gulrajani, Percy Liang, Tatsunori B. Hashimoto. NeurIPS 2022 May

• Step-unrolled Denoising Autoencoders for Text Generation Nikolay Savinov, Junyoung Chung, Mikolaj Binkowski, Erich Elsen, Aaron van den Oord. ICLR 2021 Dec

• Autoregressive Diffusion Models Emiel Hoogeboom, Alexey A. Gritsenko, Jasmijn Bastings, Ben Poole, Rianne van den Berg, Tim Salimans. ICLR 2021 Oct

• Structured Denoising Diffusion Models in Discrete State-Spaces Jacob Austin, Daniel D. Johnson, Jonathan Ho, Daniel Tarlow, Rianne van den Berg. NeurIPS 2021 Jul

• Argmax Flows and Multinomial Diffusion: Learning Categorical Distributions Emiel Hoogeboom, Didrik Nielsen, Priyank Jaini, Patrick Forré, Max Welling. NeurIPS 2021 Feb

📍 Resources

🤗 Contribution

Contributors

Zecheng Tang, Youyuan Zhang, Haolun Wu, Ye Yuan

Contributing to this project

Please feel free to file a PR for contributing to this project! Thanks so much for your help!

Acknowledgement