🔗 Who cites «LLaDA 1.5: Variance-Reduced Preference Optimization for Large Language Diffusion Models»

42 papers of our library cite it (of the 149,439 whose bibliographies we read) · 11 with a page here, the most cited first · ← back to «LLaDA 1.5: Variance-Reduced Preference Optimization for Large Language Diffusion Models»

1. A Survey on Latent ReasoningarXiv:2507.06203Rui-Jie Zhu, Tianhao Peng, Tianhao Cheng, et al.2025 · 15 citations
2. 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
3. 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
4. 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
5. 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
6. One Token Is Enough: Improving Diffusion Language Models with a Sink TokenFindings of the Association for Computational LinguisticsZihou Zhang, Zheyong Xie, Li Zhong, et al.2026 · 2 citations
7. 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
8. Energy Matching based Preference Learning for Diffusion Language ModelsConference of the European Chapter of the Association for Computational Linguistics (EACL)Shiv Shankar2026 · 1 citation
9. A Universal Avoidance Method for Diverse Multi-branch GenerationFindings of the Association for Computational LinguisticsKyeongman Park, Minha Jhang, Kyomin Jung2026
10. CreditDecoding: Accelerating Parallel Decoding in Diffusion Large Language Models with Trace CreditAnnual Meeting of the Association for Computational Linguistics (ACL)Kangyu Wang, Zhiyun Jiang, Haibo Feng, et al.2026
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

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

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