🧑‍🔬 Who cites Marianne Arriola

111 citations of their works from 108 papers of our library (of the 149,439 whose bibliographies we read) · 29 with a page here, the most cited first · ← Marianne Arriola

1. Large Language Diffusion ModelsConference on Neural Information Processing Systems (NeurIPS)Shen Nie, Fengqi Zhu, Zebin You, et al.2025 · 178 citations
2. Simplified and Generalized Masked Diffusion for Discrete DataConference on Neural Information Processing Systems (NeurIPS)Jiaxin Shi, Kehang Han, Zhe Wang, et al.2024 · 90 citations
3. Dream 7B: Diffusion Large Language ModelsarXiv:2508.15487Jiacheng Ye; Zhihui Xie; Lin Zheng; Jiahui Gao; Zirui Wu; Xin Jiang; Zhenguo Li;, Lingpeng Kong2025 · 89 citations
4. 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
5. Seed Diffusion: A Large-Scale Diffusion Language Model with High-Speed InferencearXiv:2508.02193Yuxuan Song, Zheng Zhang, Cheng Luo, et al.2025 · 28 citations
6. A Survey on Latent ReasoningarXiv:2507.06203Rui-Jie Zhu, Tianhao Peng, Tianhao Cheng, et al.2025 · 15 citations
7. Diffusion vs. Autoregressive Language Models: A Text Embedding PerspectiveConference on Empirical Methods in Natural Language Processing (EMNLP)Siyue Zhang, Yilun Zhao, Liyuan Geng, et al.2025 · 10 citations
8. Beyond Autoregression: Fast LLMs via Self-Distillation Through TimearXiv:2410.21035Justin Deschenaux, Caglar Gulcehre2024 · 10 citations
9. Attention Sinks in Diffusion Language ModelsFindings of the Association for Computational LinguisticsMaximo Eduardo Rulli, Simone Petruzzi, Edoardo Michielon, et al.2026 · 5 citations
10. d2: Improving Reasoning in Diffusion Language Models via Trajectory Likelihood EstimationarXiv:2509.21474Guanghan Wang, Gilad Turok, Yair Schiff, et al.2025 · 4 citations
11. d-TreeRPO: Towards More Reliable Policy Optimization for Diffusion Language ModelsAnnual Meeting of the Association for Computational Linguistics (ACL)Leyi Pan, Shuchang Tao, Yunpeng Zhai, et al.2026 · 3 citations
12. dLLM: Simple Diffusion Language ModelingAnnual Meeting of the Association for Computational Linguistics (ACL)Zhanhui Zhou, Lingjie Chen, Hanghang Tong, et al.2026 · 3 citations
13. TreeDiff: AST-Guided Code Generation with Diffusion LLMsWorkshop on Structured Understanding, Retrieval, and Generation in the LLM EraYiming Zeng, Jinghan Cao, Zexin Li, et al.2026 · 3 citations
14. Beyond Hard Masks: Progressive Token Evolution for Diffusion Language ModelsAnnual Meeting of the Association for Computational Linguistics (ACL)Linhao Zhong, Linyu Wu, Bozhen Fang, et al.2026 · 2 citations
15. LADR: Locality-Aware Dynamic Rescue for Efficient Text-to-Image Generation with Diffusion Large Language ModelsAnnual Meeting of the Association for Computational Linguistics (ACL)Chenglin Wang, Yucheng Zhou, Shuang Chen, et al.2026 · 2 citations
16. On-Policy Self-Distillation for Efficient Diffusion Language Models with Early-Stage CalibrationFindings of the Association for Computational LinguisticsHuaisheng Zhu, MingYu Liu, Junze Liu, et al.2026 · 2 citations
17. Efficient Self-Evaluation for Diffusion Language Models via Sequence RegenerationAnnual Meeting of the Association for Computational Linguistics (ACL)Linhao Zhong, Linyu Wu, Wen Wang, et al.2026 · 1 citation
18. SpanDiffusion: Flow Matching over Continuous Span Masks for Financial Causal Question AnsweringFinancial Narrative Processing WorkshopGeorg Niess, Roman Kern2026 · 1 citation
19. Advancing Reasoning in Diffusion Language Models with Denoising Process RewardsAnnual Meeting of the Association for Computational Linguistics (ACL)Shaoan Xie, Lingjing Kong, Xiangchen Song, et al.2026
20. Breaking Block Boundaries: Anchor-based History-stable Decoding for Diffusion Large Language ModelsAnnual Meeting of the Association for Computational Linguistics (ACL)Shun Zou, Yong Wang, Zehui Chen, et al.2026
21. DIFFA-2: A Practical Diffusion Large Language Model for General Audio UnderstandingFindings of the Association for Computational LinguisticsJiaming Zhou, Xuxin Cheng, Shiwan Zhao, et al.2026
22. DOS: Dependency-Oriented Sampler for Masked Diffusion Language ModelsFindings of the Association for Computational LinguisticsXueyu Zhou, Yangrong Hu, Jian Huang2026
23. LR-DWM: Efficient Watermarking for Diffusion Language ModelsFindings of the Association for Computational LinguisticsOfek Raban, Gal Chechik, Ethan Fetaya2026
24. Parallelism and Generation Order in Masked Diffusion Language Models: Limits Today, Potential TomorrowFindings of the Association for Computational LinguisticsYangyang Zhong, Yanmei Gu, Zhengqing Zang, et al.2026
25. PURE: Post-hoc Unlocking and REfinement for Discrete Diffusion DecodingFindings of the Association for Computational LinguisticsYangryeol Park, Kunhui Lee, Hanback Choi, et al.2026
26. 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
27. T: Progressive Block Scaling for Masked Diffusion Language Models Through Trajectory Aware Reinforcement LearningAnnual Meeting of the Association for Computational Linguistics (ACL)Hanchen Xia, Baoyou Chen, Yutang Ge, et al.2026
28. xLM: A Python Package for Non-Autoregressive Language ModelsConference of the European Chapter of the Association for Computational Linguistics (EACL)Dhruvesh Patel, Durga Prasad Maram, Sai Sreenivas Chintha, et al.2026
29. You Can Have a Second Chance: Unbiased and Multi-bit Watermarking for Diffusion Language Models with Regret-based RemaskingAnnual Meeting of the Association for Computational Linguistics (ACL)Ke Yang, Dongyang Liang, Jing Yu, et al.2026

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