🧑‍🔬 Who cites Zhanghao Wu

274 citations of their works from 274 papers of our library (of the 141,840 whose bibliographies we read) · 18 with a page here, the most cited first · ← Zhanghao Wu

A Survey on Evaluation of Large Language ModelsACM Transactions on Intelligent Systems and TechnologyYupeng Chang, Xu Wang, Jindong Wang, et al.2023 · 3,641 citations
Efficient Transformers: A SurveyACM Computing SurveysYi Tay, Mostafa Dehghani, Dara Bahri, et al.2020 · 1,522 citations
1. WildChat: 1M ChatGPT Interaction Logs in the WildarXiv:2405.01470Wenting Zhao, Xiang Ren, Jack Hessel, et al.2024 · 213 citations
   WildGuard: Open One-Stop Moderation Tools for Safety Risks, Jailbreaks, and Refusals of LLMsConference on Neural Information Processing Systems (NeurIPS)Seungju Han, Kavel Rao, Allyson Ettinger, et al.2024 · 155 citations
   Efficient Methods for Natural Language Processing: A SurveyTransactions of the Association for Computational Linguistics (TACL)Marcos Treviso, Ji-Ung Lee, Tianchu Ji, et al.2023 · 145 citations
2. Magpie: Alignment Data Synthesis from Scratch by Prompting Aligned LLMs with NothingarXiv:2406.08464Zhangchen Xu, Fengqing Jiang, Luyao Niu, et al.2024 · 144 citations
   Political Compass or Spinning Arrow? Towards More Meaningful Evaluations for Values and Opinions in Large Language ModelsAnnual Meeting of the Association for Computational Linguistics (ACL)Paul Röttger, Valentin Hofmann, Valentina Pyatkin, et al.2024 · 134 citations
3. HealthBench: Evaluating Large Language Models Towards Improved Human HealtharXiv:2505.08775Rahul K. Arora, Jason Wei, Rebecca Soskin Hicks, et al.2025 · 115 citations
   SALAD-Bench: A Hierarchical and Comprehensive Safety Benchmark for Large Language ModelsFindings of the Association for Computational LinguisticsLijun Li, Bowen Dong, Ruohui Wang, et al.2024 · 114 citations
4. Nemotron-4 340B Technical ReportarXiv:2406.11704Nvidia: Bo Adler, Niket Agarwal, Ashwath Aithal, et al.2024 · 102 citations
   WildTeaming at Scale: From In-the-Wild Jailbreaks to (Adversarially) Safer Language ModelsConference on Neural Information Processing Systems (NeurIPS)Liwei Jiang, Kavel Rao, Seungju Han, et al.2024 · 89 citations
5. LLMs Get Lost In Multi-Turn ConversationarXiv:2505.06120Philippe Laban, Hiroaki Hayashi, Yingbo Zhou, et al.2025 · 77 citations
6. OR-Bench: An Over-Refusal Benchmark for Large Language ModelsarXiv:2405.20947Justin Cui, Wei-Lin Chiang, Ion Stoica, et al.2024 · 73 citations
   MT-Eval: A Multi-Turn Capabilities Evaluation Benchmark for Large Language ModelsConference on Empirical Methods in Natural Language Processing (EMNLP)Wai-Chung Kwan, Xingshan Zeng, Yuxin Jiang, et al.2024 · 66 citations
7. Beyond Chinchilla-Optimal: Accounting for Inference in Language Model Scaling LawsarXiv:2401.00448Nikhil Sardana, Jacob Portes, Sasha Doubov, et al.2024 · 51 citations
   Detecting Hallucinations in Authentic LLM–Human InteractionsLanguage Resources and Evaluation Conference (LREC)Yujie Ren, Niklas Gruhlke, Anne Lauscher2026
   HumaniCA: A Benchmark Resource for the Detection of Users' Ascription of Humanness to Conversational AgentsLanguage Resources and Evaluation Conference (LREC)Sabrina Villata, Amon Rapp, Luigi Di Caro, et al.2026
   Synthetic Instruction Generation for Low-Resource Nordic Languages: Viability and Limitations in LLM Instruction-TuningLanguage Resources and Evaluation Conference (LREC)Mathias Stenlund, Annika Simonsen, Lars Bungum, et al.2026

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