🔗 Who cites «Discrete Diffusion Modeling by Estimating the Ratios of the Data Distribution»

91 papers of our library cite it (of the 149,439 whose bibliographies we read) · 12 with a page here, the most cited first · ← back to «Discrete Diffusion Modeling by Estimating the Ratios of the Data Distribution»

1. Large Language Diffusion ModelsConference on Neural Information Processing Systems (NeurIPS)Shen Nie, Fengqi Zhu, Zebin You, et al.2025 · 178 citations
2. Simple and Effective Masked Diffusion Language ModelsConference on Neural Information Processing Systems (NeurIPS)Subham Sekhar Sahoo, Marianne Arriola, Yair Schiff, et al.2024 · 152 citations
3. LLaDA 1.5: Variance-Reduced Preference Optimization for Large Language Diffusion ModelsAnnual Meeting of the Association for Computational Linguistics (ACL)Fengqi Zhu, Rongzhen Wang, Shen Nie, et al.2026 · 49 citations
4. A Survey on Latent ReasoningarXiv:2507.06203Rui-Jie Zhu, Tianhao Peng, Tianhao Cheng, et al.2025 · 15 citations
5. TESS 2: A Large-Scale Generalist Diffusion Language ModelAnnual Meeting of the Association for Computational Linguistics (ACL)Jaesung Tae, Hamish Ivison, Sachin Kumar, et al.2025 · 9 citations
6. dLLM: Simple Diffusion Language ModelingAnnual Meeting of the Association for Computational Linguistics (ACL)Zhanhui Zhou, Lingjie Chen, Hanghang Tong, et al.2026 · 3 citations
7. Focus-dLLM: Accelerating Long-Context Diffusion LLM Inference via Confidence-Guided Context FocusingAnnual Meeting of the Association for Computational Linguistics (ACL)Lingkun Long, Yushi Huang, Shihao Bai, et al.2026 · 2 citations
8. Diffuse Thinking: Exploring Diffusion Language Models as Efficient Thought Proposers for ReasoningAnnual Meeting of the Association for Computational Linguistics (ACL)Chenyang Shao, Sijian Ren, Fengli Xu, et al.2026 · 1 citation
9. Diffusion with Truncated Blocks: Fast and High-Quality Text Generation using Truncated Block GenerationFindings of the Association for Computational LinguisticsYuyan Zhou, Weiyu Chen, James Kwok2026
10. DOS: Dependency-Oriented Sampler for Masked Diffusion Language ModelsFindings of the Association for Computational LinguisticsXueyu Zhou, Yangrong Hu, Jian Huang2026
11. PURE: Post-hoc Unlocking and REfinement for Discrete Diffusion DecodingFindings of the Association for Computational LinguisticsYangryeol Park, Kunhui Lee, Hanback Choi, et al.2026
12. RACC: Regret-Aware Confidence Calibration for Consistent Masked Discrete Diffusion DecodingFindings of the Association for Computational LinguisticsQinglin Zeng, Jusheng Zhang, Jing Yang, et al.2026

79 more papers of our library cite it; they have no page here yet.

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