🧑‍🔬 Who cites Zhanhui Zhou

134 citations of their works from 133 papers of our library (of the 149,439 whose bibliographies we read) · 35 with a page here, the most cited first · ← Zhanhui Zhou

1. A Comprehensive Survey of Small Language Models in the Era of Large Language Models: Techniques, Enhancements, Applications, Collaboration with LLMs, and TrustworthinessACM Transactions on Intelligent Systems and TechnologyFali Wang, Zhiwei Zhang, Xianren Zhang, et al.2024 · 159 citations
2. Process Reinforcement through Implicit RewardsarXiv:2502.01456Ganqu Cui, Lifan Yuan, Zefan Wang, et al.2025 · 151 citations
3. SuperGPQA: Scaling LLM Evaluation across 285 Graduate DisciplinesarXiv:2502.14739M-A-P Team, Xinrun Du, Yifan Yao, et al.2025 · 89 citations
4. Why Do Multi-Agent LLM Systems Fail?arXiv:2503.13657Mert Cemri, Melissa Z. Pan, Shuyi Yang, et al.2025 · 89 citations
5. LLMs Get Lost In Multi-Turn ConversationarXiv:2505.06120Philippe Laban, Hiroaki Hayashi, Yingbo Zhou, et al.2025 · 82 citations
6. LoRA-FA: Efficient and Effective Low Rank Representation Fine-tuningarXiv:2308.03303Longteng Zhang, Lin Zhang, Shaohuai Shi, et al.2023 · 58 citations
7. Aligning LLMs with Individual Preferences via InteractionInternational Conference on Computational Linguistics (COLING)Shujin Wu, Yi R. Fung, Cheng Qian, et al.2025 · 24 citations
8. DDK: Distilling Domain Knowledge for Efficient Large Language ModelsConference on Neural Information Processing Systems (NeurIPS)Jiaheng Liu, Chenchen Zhang, Jinyang Guo, et al.2024 · 23 citations
9. What is the Role of Small Models in the LLM Era: A SurveyComputational LinguisticsLihu Chen, Gael Varoquaux2024 · 23 citations
10. Synthesizing Post-Training Data for LLMs through Multi-Agent SimulationAnnual Meeting of the Association for Computational Linguistics (ACL)Shuo Tang, Xianghe Pang, Zexi Liu, et al.2025 · 19 citations
11. 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
12. Reading Between the Prompts: How Stereotypes Shape LLM's Implicit PersonalizationConference on Empirical Methods in Natural Language Processing (EMNLP)Vera Neplenbroek, Arianna Bisazza, Raquel Fernández2025 · 12 citations
13. Condor: Enhance LLM Alignment with Knowledge-Driven Data Synthesis and RefinementAnnual Meeting of the Association for Computational Linguistics (ACL)Maosong Cao, Taolin Zhang, Mo Li, et al.2025 · 11 citations
14. GraCoRe: Benchmarking Graph Comprehension and Complex Reasoning in Large Language ModelsInternational Conference on Computational Linguistics (COLING)Zike Yuan, Ming Liu, Hui Wang, et al.2025 · 9 citations
15. Sacred or Synthetic? Evaluating LLM Reliability and Abstention for Religious QuestionsProceedings of the AAAI/ACM Conference on AI Ethics and SocietyFarah Atif, Nursultan Askarbekuly, Kareem Darwish, et al.2025 · 8 citations
16. Selective Preference Optimization via Token-Level Reward Function EstimationConference on Empirical Methods in Natural Language Processing (EMNLP)Kailai Yang, Zhiwei Liu, Qianqian Xie, et al.2025 · 8 citations
17. Confidence Estimation for LLMs in Multi-turn InteractionsFindings of the Association for Computational LinguisticsCaiqi Zhang, Ruihan Yang, Xiaochen Zhu, et al.2026 · 7 citations
18. G2: Guided Generation for Enhanced Output Diversity in LLMsConference on Empirical Methods in Natural Language Processing (EMNLP)Zhiwen Ruan, Yixia Li, Yefeng Liu, et al.2025 · 6 citations
19. Recitation over Reasoning: How Cutting-Edge Language Models Can Fail on Elementary School-Level Reasoning Problems?International Joint Conference on Natural Language Processing (IJCNLP)Kai Yan, Yufei Xu, Zhengyin Du, et al.2025 · 5 citations
20. Beyond MCQ: An Open-Ended Arabic Cultural QA Benchmark with Dialect VariantsLanguage Resources and Evaluation Conference (LREC)Hunzalah Hassan Bhatti, Firoj Alam2026 · 3 citations
21. EngiBench: A Benchmark for Evaluating Large Language Models on Engineering Problem SolvingFindings of the Association for Computational LinguisticsXiyuan Zhou, Xinlei Wang, Yirui He, et al.2026 · 3 citations
22. LLMEval-Fair: A Large-Scale Longitudinal Study on Robust and Fair Evaluation of Large Language ModelsAnnual Meeting of the Association for Computational Linguistics (ACL)Ming Zhang, Yujiong Shen, Jingyi Deng, et al.2026 · 3 citations
23. ProactiveEval: A Unified Evaluation Framework for Proactive Dialogue AgentsAnnual Meeting of the Association for Computational Linguistics (ACL)Tianjian Liu, Fanqi Wan, Jiajian Guo, et al.2026 · 3 citations
24. Chain-of-Thought as a Lens: Evaluating Structured Reasoning Alignment between Human Preferences and Large Language ModelsAnnual Meeting of the Association for Computational Linguistics (ACL)Boxuan Wang, Zhuoyun Li, Xinmiao Huang, et al.2026 · 1 citation
25. CodeMEM: AST-Guided Adaptive Memory for Repository-Level Iterative Code GenerationFindings of the Association for Computational LinguisticsPeiding Wang, Li Zhang, Fang Liu, et al.2026 · 1 citation
26. Fine-Grained Detection of Context-Grounded Hallucinations Using LLMsFindings of the Association for Computational LinguisticsYehonatan Peisakhovsky, Zorik Gekhman, Yosi Mass, et al.2026 · 1 citation
27. Grounding Agent Memory in Contextual IntentFindings of the Association for Computational LinguisticsRuozhen Yang, Yucheng Jiang, Yueqi Jiang, et al.2026 · 1 citation
28. VisTW: Benchmarking Vision-Language Models for Taiwanese Mandarin in TaiwanFindings of the Association for Computational LinguisticsZhi Rui Tam, Yung-Yu Shih, Yen-Wei Lee, et al.2026 · 1 citation
29. XQ-MEval: A Dataset with Cross-lingual Parallel Quality for Benchmarking Translation MetricsFindings of the Association for Computational LinguisticsJingxuan Liu, Zhi Qu, Jin Tei, et al.2026 · 1 citation
30. Analysing Differences in Persuasive Language in LLM-Generated Text: Uncovering Stereotypical Gender PatternsFindings of the Association for Computational LinguisticsAmalie Brogaard Pauli, Maria Barrett, Max Müller-Eberstein, et al.2026
31. DP³: Differentially Private Prompt Perturbation for Multi-turn LLM InferenceFindings of the Association for Computational LinguisticsLele Zheng, Chao Zhang, Feiyang Yuan, et al.2026
32. MT-Video-Bench: A Holistic Video Understanding Benchmark for Evaluating Multimodal LLMs in Multi-Turn DialoguesFindings of the Association for Computational LinguisticsYaning Pan, Qianqian Xie, Guohui Zhang, et al.2026
33. RiT: Rubrics-in-Thinking Reinforcement Learning for Improved Reasoning in Large Language ModelsFindings of the Association for Computational LinguisticsXiaobin Tian, Shuai Yuan, Muyun Ding, et al.2026
34. Route to Rome Attack: Directing LLM Routers to Expensive Models via Adversarial Suffix OptimizationAnnual Meeting of the Association for Computational Linguistics (ACL)Haochun Tang, Yuliang Yan, Jiahua Lu, et al.2026
35. Two Pathways to Truthfulness: On the Intrinsic Encoding of LLM HallucinationsAnnual Meeting of the Association for Computational Linguistics (ACL)Wen Luo, Guangyue Peng, Wei Li, et al.2026

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