🧑‍🔬 Who cites Zhongwei Wan

140 citations of their works from 140 papers of our library (of the 149,439 whose bibliographies we read) · 32 with a page here, the most cited first · ← Zhongwei Wan

1. A Survey of Large Language ModelsFrontiers of Computer ScienceWayne Xin Zhao, Kun Zhou, Junyi Li, et al.2023 · 2,875 citations
2. A Survey on Efficient Inference for Large Language ModelsarXiv:2404.14294Zixuan Zhou, Xuefei Ning, Ke Hong, et al.2024 · 113 citations
3. Beyond the Limits: A Survey of Techniques to Extend the Context Length in Large Language ModelsarXiv:2402.02244Xindi Wang, Mahsa Salmani, Parsa Omidi, et al.2024 · 60 citations
4. Scaling Laws with Vocabulary: Larger Models Deserve Larger VocabulariesarXiv:2407.13623Chaofan Tao, Qian Liu, Longxu Dou, et al.2024 · 46 citations
5. What is the Role of Small Models in the LLM Era: A SurveyComputational LinguisticsLihu Chen, Gael Varoquaux2024 · 23 citations
6. Baichuan-M2: Scaling Medical Capability with Large Verifier SystemarXiv:2509.02208Chengfeng Dou, Chong Liu, Fan Yang, et al.2025 · 19 citations
7. Falcon-H1: A Family of Hybrid-Head Language Models Redefining Efficiency and PerformancearXiv:2507.22448Jingwei Zuo, Maksim Velikanov, Ilyas Chahed, et al.2025 · 15 citations
8. FR-Spec: Accelerating Large-Vocabulary Language Models via Frequency-Ranked Speculative SamplingAnnual Meeting of the Association for Computational Linguistics (ACL)Weilin Zhao, Tengyu Pan, Xu Han, et al.2025 · 15 citations
9. A Survey on Efficient Large Language Model Training: From Data-centric PerspectivesAnnual Meeting of the Association for Computational Linguistics (ACL)Junyu Luo, Bohan Wu, Xiao Luo, et al.2025 · 14 citations
10. Psyche-R1: Towards Reliable Psychological LLMs through Unified Empathy, Expertise, and ReasoningAnnual Meeting of the Association for Computational Linguistics (ACL)Chongyuan Dai, Jinpeng Hu, Hongchang Shi, et al.2026 · 8 citations
11. Fine-tuning Large Language Models with Limited Data: A Survey and Practical GuideTransactions of the Association for Computational Linguistics (TACL)Marton Szep, Daniel Rueckert, Rüdiger von Eisenhart-Rothe, et al.2026 · 7 citations
12. LLM-Oriented Token-Adaptive Knowledge DistillationarXiv:2510.11615Xurong Xie, Zhucun Xue, Jiafu Wu, et al.2025 · 6 citations
13. Kuwain 1.5B: An Arabic SLM via Language InjectionarXiv:2504.15120Khalil Hennara, Sara Chrouf, Mohamed Motaism Hamed, et al.2025 · 4 citations
14. Tokenisation is NP-CompleteAnnual Meeting of the Association for Computational Linguistics (ACL)Philip Whittington, Gregor Bachmann, Tiago Pimentel2025 · 4 citations
15. Balancing Fidelity and Plasticity: Aligning Mixed-Precision Fine-Tuning with Linguistic HierarchiesFindings of the Association for Computational LinguisticsChanghai Zhou, Shiyang Zhang, Yuhua Zhou, et al.2026 · 3 citations
16. FLEXITOKENS: Flexible Tokenization for Evolving Language ModelsFindings of the Association for Computational LinguisticsAbraham Toluwase Owodunni, Orevaoghene Ahia, Sachin Kumar2026 · 3 citations
17. Prune as You Generate: Online Rollout Pruning for Faster and Better RLVRAnnual Meeting of the Association for Computational Linguistics (ACL)Haobo Xu, Sirui Chen, Ruizhong Qiu, et al.2026 · 2 citations
18. Speculative Decoding with a Speculative VocabularyFindings of the Association for Computational LinguisticsMiles Williams, Young D. Kwon, Rui Li, et al.2026 · 2 citations
19. DeepMed: Building a Medical DeepResearch Agent via Multi-hop Med-Search Data and Turn-Controlled Agentic Training & InferenceFindings of the Association for Computational LinguisticsZihan Wang, Hao Wang, Shi Feng, et al.2026 · 1 citation
20. From Local to Global: Revisiting Structured Pruning Paradigms for Large Language ModelsAnnual Meeting of the Association for Computational Linguistics (ACL)Ziyan Wang, Enmao Diao, Qi Le, et al.2026 · 1 citation
21. From Weights to Activations: Is Steering the Next Frontier of Adaptation?Annual Meeting of the Association for Computational Linguistics (ACL)Simon Ostermann, Daniil Gurgurov, Tanja Baeumel, et al.2026 · 1 citation
22. SupraTok: Cross-Boundary Tokenization for Enhanced Language Model PerformanceTransactions of the Association for Computational Linguistics (TACL)Andrei-Valentin Tănase, Elena Pelican2026 · 1 citation
23. Vocab Diet: Reshaping the Vocabulary of LLMs via Vector ArithmeticFindings of the Association for Computational LinguisticsYuval Reif, Guy Kaplan, Roy Schwartz2026 · 1 citation
24. COMPEL: Compensated Mixture-of-Experts Pruning with Expert-Layer distributionFindings of the Association for Computational LinguisticsSeohee Yoon, Yong Suk Choi2026
25. Compressing Language Models for Specialized DomainsConference of the European Chapter of the Association for Computational Linguistics (EACL)Miles Williams, George Chrysostomou, Vitor Amancio Jeronymo, et al.2026
26. Does RLVR Extend Reasoning Boundaries? Investigating Capability Expansion in Vision-Language ModelsAnnual Meeting of the Association for Computational Linguistics (ACL)Minghe Shen, Zhuo Zhi, Chonghan Liu, et al.2026
27. From Short Video to Clickable Search: RLVR-Enabled Listwise Query Suggestion with Retrieval-Augmented ContextAnnual Meeting of the Association for Computational Linguistics (ACL)Mingkai Tian, Xuye, Long Meng, et al.2026
28. Investigating Gender Stereotypes in Large Language Models via Social Determinants of HealthFindings of the Association for Computational LinguisticsTrung Hieu Ngo, Adrien Bazoge, Solen Quiniou, et al.2026
29. Question Tells You Where the Answer Is: Intention-aware Long-Context KV Cache CompressionAnnual Meeting of the Association for Computational Linguistics (ACL)Liang Zhao, Xiaocheng Feng, Weihong Zhong, et al.2026
30. Scaling is Not All You Need: Clinical-Oriented Reinforcement Learning Makes Parameter-Efficient Clinical ReasoningFindings of the Association for Computational LinguisticsChi Liu, Yan Shu, Mengzhuo Chen, et al.2026
31. Vocabulary Shapes Cross-Lingual Variation of Word-Order Learnability in Language ModelsAnnual Meeting of the Association for Computational Linguistics (ACL)Jonas Mayer Martins, Jaap Jumelet, Viola Priesemann, et al.2026
32. Research Progress on Large Models for Edge Intelligence (面向边缘智能的大模型研究进展)Journal of Computer Research and DevelopmentRui Wang (王睿), Liuyang Zhang (张留洋), Zhiyong Gao (高志涌), et al.2025

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