🧑‍🔬 Who cites Jun Zhou

226 citations of their works from 184 papers of our library (of the 149,439 whose bibliographies we read) · 51 with a page here, the most cited first · ← Jun Zhou

1. 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
2. A Survey of Efficient Reasoning for Large Reasoning Models: Language, Multimodality, and BeyondarXiv:2503.21614Xiaoye Qu, Yafu Li, Zhao-Chen Su, et al.2025 · 55 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. Seed Diffusion: A Large-Scale Diffusion Language Model with High-Speed InferencearXiv:2508.02193Yuxuan Song, Zheng Zhang, Cheng Luo, et al.2025 · 28 citations
5. How Is LLM Reasoning Distracted by Irrelevant Context? An Analysis Using a Controlled BenchmarkMinglai Yang, Ethan Huang, Liang Zhang, et al.2025 · 25 citations
6. A Survey on Latent ReasoningarXiv:2507.06203Rui-Jie Zhu, Tianhao Peng, Tianhao Cheng, et al.2025 · 15 citations
7. When To Solve, When To Verify: Compute-Optimal Problem Solving and Generative Verification for LLM ReasoningarXiv:2504.01005Nishad Singhi, Hritik Bansal, Arian Hosseini, et al.2025 · 12 citations
8. 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
9. 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
10. Attention Sinks in Diffusion Language ModelsFindings of the Association for Computational LinguisticsMaximo Eduardo Rulli, Simone Petruzzi, Edoardo Michielon, et al.2026 · 5 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. 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
16. Improving the Throughput of Diffusion-based Large Language Models via a Training-Free Confidence-Aware CalibrationFindings of the Association for Computational LinguisticsJucheng Shen, Gaurav Sarkar, Yeonju Ro, et al.2026 · 2 citations
17. 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
18. 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
19. 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
20. Reinforced Informativeness Optimization for Long-Form Retrieval-Augmented GenerationAnnual Meeting of the Association for Computational Linguistics (ACL)Yuhao Wang, Ruiyang Ren, Yucheng Wang, et al.2026 · 2 citations
21. Transforming Causal LLM into MLM Encoder for Detecting Social Media Manipulation in TelegramUkrainian Natural Language Processing WorkshopAnton Bazdyrev, Ivan Bashtovyi, Ivan Havlytskyi, et al.2025 · 2 citations
22. Clutch or Cry at SemEval-2026 Task 12: Offline Retrieval-Augmented Generation with Frozen DeBERTa for Abductive Event ReasoningInternational Workshop on Semantic Evaluation (SemEval)Aayush Prasad, Rudra Trivedi, Arshad Khatib, et al.2026 · 1 citation
23. 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
24. Diffusion-CAM: Faithful Visual Explanations for dMLLMsAnnual Meeting of the Association for Computational Linguistics (ACL)Haomin Zuo, Yidi Li, Luoxiao Yang, et al.2026 · 1 citation
25. 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
26. Energy Matching based Preference Learning for Diffusion Language ModelsConference of the European Chapter of the Association for Computational Linguistics (EACL)Shiv Shankar2026 · 1 citation
27. From Static Inference to Dynamic Interaction: A Survey of Streaming Large Language ModelsFindings of the Association for Computational LinguisticsJunlong Tong, Zilong Wang, YuJie Ren, et al.2026 · 1 citation
28. A Universal Avoidance Method for Diverse Multi-branch GenerationFindings of the Association for Computational LinguisticsKyeongman Park, Minha Jhang, Kyomin Jung2026
29. 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
30. Amadeus: Autoregressive Model with Bidirectional Attribute Modelling for Symbolic MusicAnnual Meeting of the Association for Computational Linguistics (ACL)Hongju Su, Ke Li, Lan Yang, et al.2026
31. BiMol-Diff: A Unified Diffusion Framework for Molecular Generation and CaptioningAnnual Meeting of the Association for Computational Linguistics (ACL)Aditya Hemant Shahane, Anuj Kumar Sirohi, Devansh Arora, et al.2026
32. 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
33. 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
34. DecoCal: Decoding with Calibration in Diffusion Large Language ModelsAnnual Meeting of the Association for Computational Linguistics (ACL)Fan Xu, Huixuan Zhang, Xiaojun Wan2026
35. Diff4TST: Masked Diffusion Language Model for Text Style TransferAnnual Meeting of the Association for Computational Linguistics (ACL)Xinchen Ma, Gaole He, Yunshi Lan, et al.2026
36. 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
37. 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
38. DOS: Dependency-Oriented Sampler for Masked Diffusion Language ModelsFindings of the Association for Computational LinguisticsXueyu Zhou, Yangrong Hu, Jian Huang2026
39. Fast-Decoding Diffusion Language Models via Progress-Aware Confidence SchedulesFindings of the Association for Computational LinguisticsAmr Mohamed, Yang Zhang, Michalis Vazirgiannis, et al.2026
40. Fixing Semantic Blind Spots in Anchor Tokens of dMLLMsFindings of the Association for Computational LinguisticsRuixuan Xu, Jiexi Xu, Qiyan Zhao, et al.2026
41. From AR to Diffusion: Efficiently Adapting Large Language Models with Strictly Causal and Elastic HorizonsAnnual Meeting of the Association for Computational Linguistics (ACL)Xiangyu Ma, Teng Xiao, Zuchao Li, et al.2026
42. From Implicit Graph Encoding to Explicit Evidence: A Training-Free LLM Framework for Temporal Knowledge Graph ReasoningFindings of the Association for Computational LinguisticsGuo Tang, Ke Cheng, Huiming Fan, et al.2026
43. LR-DWM: Efficient Watermarking for Diffusion Language ModelsFindings of the Association for Computational LinguisticsOfek Raban, Gal Chechik, Ethan Fetaya2026
44. Memorization, Emergence, and Explaining Reversal Failures: A Controlled Study of Relational Semantics in LLMsAnnual Meeting of the Association for Computational Linguistics (ACL)Yihua Zhu, Qianying Liu, Jiaxin Wang, et al.2026
45. 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
46. PURE: Post-hoc Unlocking and REfinement for Discrete Diffusion DecodingFindings of the Association for Computational LinguisticsYangryeol Park, Kunhui Lee, Hanback Choi, et al.2026
47. 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
48. SpecBound: Adaptive Bounded Self-Speculation with Layer-wise Confidence CalibrationFindings of the Association for Computational LinguisticsZhuofan Wen, Yang Feng2026
49. The Bitter Lesson of Diffusion Language Models for Agentic Workflows: A Comprehensive Reality CheckAnnual Meeting of the Association for Computational Linguistics (ACL)Qingyu Lu, Liang Ding, Kanjian Zhang, et al.2026
50. UniCM: A Unified Consistency Model For Efficient Multimodal Generation and UnderstandingFindings of the Association for Computational LinguisticsChenkai Xu, Xu Wang, Zhenyi Liao, et al.2026
51. 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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