🔗 Who cites «DiffusionBERT: Improving Generative Masked Language Models with Diffusion Models»

49 papers of our library cite it (of the 141,840 whose bibliographies we read) · 4 with a page here, the most cited first · ← back to «DiffusionBERT: Improving Generative Masked Language Models with Diffusion Models»

1. Large Language Diffusion ModelsConference on Neural Information Processing Systems (NeurIPS)Shen Nie, Fengqi Zhu, Zebin You, et al.2025 · 164 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 · 134 citations
3. DiffuSeq-v2: Bridging Discrete and Continuous Text Spaces for Accelerated Seq2Seq Diffusion ModelsFindings of the Association for Computational LinguisticsShansan Gong, Mukai Li, Jiangtao Feng, et al.2023 · 32 citations
4. Can Diffusion Model Achieve Better Performance in Text Generation ? Bridging the Gap between Training and Inference !Findings of the Association for Computational LinguisticsZecheng Tang, Pinzheng Wang, Keyan Zhou, et al.2023 · 18 citations

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

This page in Markdown → https://md.research.elamur.ai/free/en/papers/he-2023-diffusionbert-improving-generative-masked-language/cited-by/