--- title: "Who cites DiffuSeq: Sequence to Sequence — 98 citing papers" description: "98 papers of the Elamur Research library cite «DiffuSeq: Sequence to Sequence Text Generation with Diffusion Models», found in their…" canonical: "https://research.elamur.ai/free/en/papers/gong-2022-diffuseq-sequence-sequence-text-generation/cited-by/" --- [Elamur Research](https://md.research.elamur.ai/free/en/) · [this page in HTML](https://research.elamur.ai/free/en/papers/gong-2022-diffuseq-sequence-sequence-text-generation/cited-by/) [home](https://md.research.elamur.ai/free/en/) / [papers](https://md.research.elamur.ai/free/en/papers/) / [DiffuSeq: Sequence to Sequence Text Generation…](https://md.research.elamur.ai/free/en/papers/gong-2022-diffuseq-sequence-sequence-text-generation/) / cited by # Who cites «DiffuSeq: Sequence to Sequence Text Generation with Diffusion Models» 98 papers of our library cite it (of the 149,439 whose bibliographies we read) · 16 with a page here, the most cited first · [← back to «DiffuSeq: Sequence to Sequence Text Generation with Diffusion Models»](https://md.research.elamur.ai/free/en/papers/gong-2022-diffuseq-sequence-sequence-text-generation/) 1. **[Large Language Diffusion Models](https://md.research.elamur.ai/free/en/papers/nie-2025-large-language-diffusion-models/) [Conference on Neural Information Processing Systems (NeurIPS)](https://md.research.elamur.ai/free/en/venues/neural-information-processing-systems/)**Shen Nie, Fengqi Zhu, Zebin You, et al.*2025 · 178 citations* 2. [**Seamless: Multilingual Expressive and Streaming Speech Translation arXiv:2312.05187**Seamless Communication, Loic Barrault, Yu-An Chung, et al.*2023 · 172 citations*](https://md.research.elamur.ai/free/en/papers/communication-2023-seamless-multilingual-expressive-streaming-speech/) 3. **[DiffusionBERT: Improving Generative Masked Language Models with Diffusion Models](https://md.research.elamur.ai/free/en/papers/he-2023-diffusionbert-improving-generative-masked-language/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Zhengfu He, Tianxiang Sun, Qiong Tang, et al.*2023 · 136 citations* 4. [**Discrete Diffusion Modeling by Estimating the Ratios of the Data Distribution arXiv:2310.16834**Aaron Lou, Chenlin Meng, Stefano Ermon*2023 · 96 citations*](https://md.research.elamur.ai/free/en/papers/lou-2023-discrete-diffusion-modeling-estimating-ratios/) 5. [**Dream 7B: Diffusion Large Language Models arXiv:2508.15487**Jiacheng Ye; Zhihui Xie; Lin Zheng; Jiahui Gao; Zirui Wu; Xin Jiang; Zhenguo Li;, Lingpeng Kong*2025 · 89 citations*](https://md.research.elamur.ai/free/en/papers/ye-2025-dream-7b-diffusion-large-language/) 6. **[DiffuSeq-v2: Bridging Discrete and Continuous Text Spaces for Accelerated Seq2Seq Diffusion Models](https://md.research.elamur.ai/free/en/papers/gong-2023-diffuseq-v2-bridging-discrete-continuous/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Shansan Gong, Mukai Li, Jiangtao Feng, et al.*2023 · 33 citations* 7. **[Can Diffusion Model Achieve Better Performance in Text Generation ? Bridging the Gap between Training and Inference !](https://md.research.elamur.ai/free/en/papers/tang-2023-can-diffusion-model-achieve-better/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Zecheng Tang, Pinzheng Wang, Keyan Zhou, et al.*2023 · 18 citations* 8. **[Attention Sinks in Diffusion Language Models](https://md.research.elamur.ai/free/en/papers/rulli-2026-attention-sinks-diffusion-language-models/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Maximo Eduardo Rulli, Simone Petruzzi, Edoardo Michielon, et al.*2026 · 5 citations* 9. **[Focus-dLLM: Accelerating Long-Context Diffusion LLM Inference via Confidence-Guided Context Focusing](https://md.research.elamur.ai/free/en/papers/long-2026-focus-dllm-accelerating-long-context/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Lingkun Long, Yushi Huang, Shihao Bai, et al.*2026 · 2 citations* 10. **[From Static Inference to Dynamic Interaction: A Survey of Streaming Large Language Models](https://md.research.elamur.ai/free/en/papers/tong-2026-static-inference-dynamic-interaction-survey/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Junlong Tong, Zilong Wang, YuJie Ren, et al.*2026 · 1 citation* 11. **[SpanDiffusion: Flow Matching over Continuous Span Masks for Financial Causal Question Answering](https://md.research.elamur.ai/free/en/papers/niess-2026-spandiffusion-flow-matching-over-continuous/) [Financial Narrative Processing Workshop](https://md.research.elamur.ai/free/en/venues/fnp/)**Georg Niess, Roman Kern*2026 · 1 citation* 12. [**Style Transfer as Bias Mitigation: Diffusion Models for Synthetic Mental Health Text for Arabic arXiv:2601.14124**Saad Mankarious, Aya Zirikly*2026 · 1 citation*](https://md.research.elamur.ai/free/en/papers/mankarious-2026-style-transfer-bias-mitigation-diffusion/) 13. **[BiMol-Diff: A Unified Diffusion Framework for Molecular Generation and Captioning](https://md.research.elamur.ai/free/en/papers/shahane-2026-bimol-diff-unified-diffusion-framework/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Aditya Hemant Shahane, Anuj Kumar Sirohi, Devansh Arora, et al.*2026* 14. **[Diff4TST: Masked Diffusion Language Model for Text Style Transfer](https://md.research.elamur.ai/free/en/papers/ma-2026-diff4tst-masked-diffusion-language-model/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Xinchen Ma, Gaole He, Yunshi Lan, et al.*2026* 15. **[One-step Nonautoregressive Natural Language Generation with Shortcut Flow Matching Models](https://md.research.elamur.ai/free/en/papers/warczynski-2026-one-step-nonautoregressive-natural-language/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Jędrzej Warczyński, Ondrej Dusek, Mateusz Lango*2026* 16. **[Reviving Iterative Refinement in Diffusion-based NER with an Initializer-Restorer Approach](https://md.research.elamur.ai/free/en/papers/trieu-2026-reviving-iterative-refinement-diffusion-based/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Long Hai Trieu, Phí Minh Hieu, Makoto Miwa*2026* 82 more papers of our library cite it; they have no page here yet. - [← back to](https://md.research.elamur.ai/free/en/papers/gong-2022-diffuseq-sequence-sequence-text-generation/) — DiffuSeq: Sequence to Sequence Text Generation with Diffusion Models