🧑‍🔬 Who cites Lingyong Yan

320 citations of their works from 320 papers of our library (of the 141,840 whose bibliographies we read) · 15 with a page here, the most cited first · ← Lingyong Yan

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
A Survey of Large Language ModelsFrontiers of Computer ScienceWayne Xin Zhao, Kun Zhou, Junyi Li, et al.2023 · 2,863 citations
Large Language Models for Information Retrieval: A SurveyACM Transactions on Information SystemsYutao Zhu; Huaying Yuan; Shuting Wang; Jiongnan Liu; Wenhan Liu; Chenlong Deng; Haonan Chen; Zheng Liu; Zhicheng Dou;, Ji-Rong Wen2023 · 335 citations
Large Language Models are Effective Text Rankers with Pairwise Ranking PromptingFindings of the Association for Computational LinguisticsZhen Qin, Rolf Jagerman, Kai Hui, et al.2024 · 297 citations
Large Language Models for Data Annotation and Synthesis: A SurveyConference on Empirical Methods in Natural Language Processing (EMNLP)Zhen Tan, Dawei Li, Song Wang, et al.2024 · 259 citations
Fine-Tuning LLaMA for Multi-Stage Text RetrievalInternational ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR)Xueguang Ma, Liang Wang, Nan Yang, et al.2023 · 254 citations
1. The False Promise of Imitating Proprietary LLMsarXiv:2305.15717Arnav Gudibande, Eric Wallace, Charlie Snell, et al.2023 · 178 citations
   Towards Reasoning Era: A Survey of Long Chain-of-Thought for Reasoning Large Language ModelsScience China Information SciencesQiguang Chen, Libo Qin, Jinhao Liu, et al.2025 · 174 citations
2. Generative Representational Instruction TuningarXiv:2402.09906Niklas Muennighoff, Hongjin Su, Liang Wang, et al.2024 · 165 citations
   Can Language Models be Biomedical Knowledge Bases?Conference on Empirical Methods in Natural Language Processing (EMNLP)Mujeen Sung, Jinhyuk Lee, Sean Yi, et al.2021 · 127 citations
   Calibrating Factual Knowledge in Pretrained Language ModelsFindings of the Association for Computational LinguisticsQingxiu Dong, Damai Dai, Yifan Song, et al.2022 · 115 citations
   Fact-Checking the Output of Large Language Models via Token-Level Uncertainty QuantificationFindings of the Association for Computational LinguisticsEkaterina Fadeeva, Aleksandr Rubashevskii, Artem Shelmanov, et al.2024 · 95 citations
3. BRIGHT: A Realistic and Challenging Benchmark for Reasoning-Intensive RetrievalarXiv:2407.12883Hongjin Su, Howard Yen, Mengzhou Xia, et al.2024 · 70 citations
   Bridging Cultures in the Kitchen: A Framework and Benchmark for Cross-Cultural Recipe RetrievalConference on Empirical Methods in Natural Language Processing (EMNLP)Tianyi Hu, Maria Maistro, Daniel Hershcovich2024 · 16 citations
   FIBER: A Multilingual Evaluation Resource for Factual Inference BiasLanguage Resources and Evaluation Conference (LREC)Evren Ayberk Munis, Deniz Yilmaz, Arianna Muti, et al.2026

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