--- title: "Who cites Lingyong Yan — 320 papers of our library" description: "320 papers of the Elamur Research library cite the works of Lingyong Yan, found in their bibliographies; the most cited first." canonical: "https://research.elamur.ai/free/en/authors/lingyong-yan/cited-by/" --- [Elamur Research](https://md.research.elamur.ai/free/en/) · [this page in HTML](https://research.elamur.ai/free/en/authors/lingyong-yan/cited-by/) [home](https://md.research.elamur.ai/free/en/) / [authors](https://md.research.elamur.ai/free/en/authors/) / [Lingyong Yan](https://md.research.elamur.ai/free/en/authors/lingyong-yan/) / cited by # 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](https://md.research.elamur.ai/free/en/authors/lingyong-yan/) 1. [**The False Promise of Imitating Proprietary LLMs arXiv:2305.15717**Arnav Gudibande, Eric Wallace, Charlie Snell, et al.*2023 · 178 citations*](https://md.research.elamur.ai/free/en/papers/gudibande-2023-false-promise-imitating-proprietary-llms/) **[Towards Reasoning Era: A Survey of Long Chain-of-Thought for Reasoning Large Language Models](https://md.research.elamur.ai/free/en/papers/chen-2025-towards-reasoning-era-survey-long/) [Science China Information Sciences](https://md.research.elamur.ai/free/en/venues/science-china-information-sciences/)**Qiguang Chen, Libo Qin, Jinhao Liu, et al.*2025 · 174 citations* [**Generative Representational Instruction Tuning arXiv:2402.09906**Niklas Muennighoff, Hongjin Su, Liang Wang, et al.*2024 · 165 citations*](https://md.research.elamur.ai/free/en/papers/muennighoff-2024-generative-representational-instruction-tuning/) **[Can Language Models be Biomedical Knowledge Bases?](https://md.research.elamur.ai/free/en/papers/sung-2021-can-language-models-be-biomedical/) [Conference on Empirical Methods in Natural Language Processing (EMNLP)](https://md.research.elamur.ai/free/en/venues/emnlp/)**Mujeen Sung, Jinhyuk Lee, Sean Yi, et al.*2021 · 127 citations* **[Calibrating Factual Knowledge in Pretrained Language Models](https://md.research.elamur.ai/free/en/papers/dong-2022-calibrating-factual-knowledge-pretrained-language/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Qingxiu Dong, Damai Dai, Yifan Song, et al.*2022 · 115 citations* **[Fact-Checking the Output of Large Language Models via Token-Level Uncertainty Quantification](https://md.research.elamur.ai/free/en/papers/fadeeva-2024-fact-checking-output-large-language/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Ekaterina Fadeeva, Aleksandr Rubashevskii, Artem Shelmanov, et al.*2024 · 95 citations* [**BRIGHT: A Realistic and Challenging Benchmark for Reasoning-Intensive Retrieval arXiv:2407.12883**Hongjin Su, Howard Yen, Mengzhou Xia, et al.*2024 · 70 citations*](https://md.research.elamur.ai/free/en/papers/su-2024-bright-realistic-challenging-benchmark-reasoning/) **[Bridging Cultures in the Kitchen: A Framework and Benchmark for Cross-Cultural Recipe Retrieval](https://md.research.elamur.ai/free/en/papers/hu-2024-bridging-cultures-kitchen-framework-benchmark/) [Conference on Empirical Methods in Natural Language Processing (EMNLP)](https://md.research.elamur.ai/free/en/venues/emnlp/)**Tianyi Hu, Maria Maistro, Daniel Hershcovich*2024 · 16 citations* **[FIBER: A Multilingual Evaluation Resource for Factual Inference Bias](https://md.research.elamur.ai/free/en/papers/munis-2026-fiber-multilingual-evaluation-resource-factual/) [Language Resources and Evaluation Conference (LREC)](https://md.research.elamur.ai/free/en/venues/lrec/)**Evren Ayberk Munis, Deniz Yilmaz, Arianna Muti, et al.*2026* 305 more citing papers of our library have no page here yet. - [← back to](https://md.research.elamur.ai/free/en/authors/lingyong-yan/) — Lingyong Yan