--- title: "Who cites Nan Yin — 65 papers of our library — Elamur Research" description: "65 papers of the Elamur Research library cite the works of Nan Yin, found in their bibliographies; the most cited first." canonical: "https://research.elamur.ai/free/en/authors/nan-yin/cited-by/" --- [Elamur Research](https://md.research.elamur.ai/free/en/) · [this page in HTML](https://research.elamur.ai/free/en/authors/nan-yin/cited-by/) [home](https://md.research.elamur.ai/free/en/) / [authors](https://md.research.elamur.ai/free/en/authors/) / [Nan Yin](https://md.research.elamur.ai/free/en/authors/nan-yin/) / cited by # Who cites Nan Yin 80 citations of their works from 65 papers of our library (of the 149,439 whose bibliographies we read) · 21 with a page here, the most cited first · [← Nan Yin](https://md.research.elamur.ai/free/en/authors/nan-yin/) 1. [**Summary of ChatGPT-Related Research and Perspective Towards the Future of Large Language Models arXiv:2304.01852 · Meta-Radiology (2023)100,017**Yiheng Liu, Tianle Han, Siyuan Ma, et al.*2023 · 940 citations*](https://md.research.elamur.ai/free/en/papers/liu-2023-summary-chatgpt-related-research-perspective/) 2. **[ChatGPT Beyond English: Towards a Comprehensive Evaluation of Large Language Models in Multilingual Learning](https://md.research.elamur.ai/free/en/papers/lai-2023-chatgpt-beyond-english-comprehensive-evaluation/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Viet Dac Lai, Nghia Ngo, Amir Pouran Ben Veyseh, et al.*2023 · 422 citations* 3. **[Is ChatGPT better than Human Annotators? Potential and Limitations of ChatGPT in Explaining Implicit Hate Speech](https://md.research.elamur.ai/free/en/papers/huang-2023-chatgpt-better-than-human-annotators/) [ACM Web Conference (WWW)](https://md.research.elamur.ai/free/en/venues/acm-web-conference-www/)**Fan Huang, Haewoon Kwak, Jisun An*2023 · 318 citations* 4. [**ChatIE: Zero-Shot Information Extraction via Chatting with ChatGPT arXiv:2302.10205**Xiang Wei; Xingyu Cui; Ning Cheng; Xiaobin Wang; Xin Zhang; Shen Huang; Pengjun Xie; Jinan Xu; Yufeng Chen; Meishan Zhang; Yong Jiang;, Wenjuan Han*2023 · 276 citations*](https://md.research.elamur.ai/free/en/papers/wei-2023-chatie-zero-shot-information-extraction/) 5. **[A Systematic Study and Comprehensive Evaluation of ChatGPT on Benchmark Datasets](https://md.research.elamur.ai/free/en/papers/laskar-2023-systematic-study-comprehensive-evaluation-chatgpt/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Md Tahmid Rahman Laskar, M Saiful Bari, Mizanur Rahman, et al.*2023 · 200 citations* 6. **[Leak, Cheat, Repeat: Data Contamination and Evaluation Malpractices in Closed-Source LLMs](https://md.research.elamur.ai/free/en/papers/balloccu-2024-leak-cheat-repeat-data-contamination/) [Conference of the European Chapter of the Association for Computational Linguistics (EACL)](https://md.research.elamur.ai/free/en/venues/eacl/)**Simone Balloccu, Patrícia Schmidtová, Mateusz Lango, et al.*2024 · 174 citations* 7. [**Evaluating ChatGPT's Information Extraction Capabilities: An Assessment of Performance, Explainability, Calibration, and Faithfulness arXiv:2304.11633**Bo Li, Gexiang Fang, Yang Yang, et al.*2023 · 142 citations*](https://md.research.elamur.ai/free/en/papers/li-2023-evaluating-chatgpt-s-information-extraction/) 8. **[Can we trust the evaluation on ChatGPT?](https://md.research.elamur.ai/free/en/papers/aiyappa-2023-can-we-trust-evaluation-chatgpt/) [Workshop on Trustworthy NLP](https://md.research.elamur.ai/free/en/venues/trustnlp/)**Rachith Aiyappa, Jisun An, Haewoon Kwak, et al.*2023 · 103 citations* 9. [**ChatGPT: Beginning of an End of Manual Linguistic Data Annotation? Use Case of Automatic Genre Identification arXiv:2303.03953**Taja Kuzman, Igor Mozetič, Nikola Ljubešic*2023 · 95 citations*](https://md.research.elamur.ai/free/en/papers/kuzman-2023-chatgpt-beginning-end-manual-linguistic/) 10. **[Stance Detection on Social Media with Background Knowledge](https://md.research.elamur.ai/free/en/papers/li-2023-stance-detection-social-media-background/) [Conference on Empirical Methods in Natural Language Processing (EMNLP)](https://md.research.elamur.ai/free/en/venues/emnlp/)**Ang Li, Bin Liang, Jingqian Zhao, et al.*2023 · 58 citations* 11. **[Automated stance detection in complex topics and small languages: the challenging case of immigration in polarizing news media](https://md.research.elamur.ai/free/en/papers/mets-2023-automated-stance-detection-complex-topics/) [PLoS ONE](https://md.research.elamur.ai/free/en/venues/plos-one/)**Mark Mets, Andres Karjus, Indrek Ibrus, et al.*2023 · 43 citations* 12. **[Chain-of-Thought Embeddings for Stance Detection on Social Media](https://md.research.elamur.ai/free/en/papers/gatto-2023-chain-thought-embeddings-stance-detection/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Joseph Gatto, Omar Sharif, Sarah M. Preum*2023 · 28 citations* 13. [**Prompting and Fine-Tuning Open-Sourced Large Language Models for Stance Classification arXiv:2309.13734**Iain J. Cruickshank, Lynnette Hui Xian Ng*2023 · 18 citations*](https://md.research.elamur.ai/free/en/papers/cruickshank-2023-prompting-fine-tuning-open-sourced/) 14. **[MGKM at StanceEval2024 Fine-Tuning Large Language Models for Arabic Stance Detection](https://md.research.elamur.ai/free/en/papers/alghaslan-2024-mgkm-stanceeval2024-fine-tuning-large/) [Arabic Natural Language Processing Conference (ArabicNLP)](https://md.research.elamur.ai/free/en/venues/arabicnlp/)**Mamoun Alghaslan, Khaled Almutairy*2024 · 7 citations* 15. **[State of the Art in Text Classification for South Slavic Languages: Fine-Tuning or Prompting?](https://md.research.elamur.ai/free/en/papers/pungersek-2026-state-art-text-classification-south/) [Shaping Multilingual, Multimodal AI for the Social Sciences and Humanities @ LREC](https://md.research.elamur.ai/free/en/venues/llms4ssh/)**Taja Kuzman Pungeršek, Peter Rupnik, Ivan Porupski, et al.*2026 · 2 citations* 16. **[CoAct: Co-Active LLM Preference Learning with Human-AI Synergy](https://md.research.elamur.ai/free/en/papers/xu-2026-coact-co-active-llm-preference/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Ruiyao Xu, Mihir Parmar, Tiankai Yang, et al.*2026 · 1 citation* 17. **[Easy Samples Are All You Need: Self-Evolving LLMs via Data-Efficient Reinforcement Learning](https://md.research.elamur.ai/free/en/papers/yu-2026-easy-samples-are-all-you/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Zhiyin Yu, Bo Zhang, Qibin Hou, et al.*2026 · 1 citation* 18. **[A Survey of Reinforcement Learning for Large Language Models under Data Scarcity: Challenges and Solutions](https://md.research.elamur.ai/free/en/papers/yu-2026-survey-reinforcement-learning-large-language/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Zhiyin Yu, Yuchen Mou, Juncheng Yan, et al.*2026* 19. **[Calibrating Inference Time Alignment with Sequence-level Risk Accumulation](https://md.research.elamur.ai/free/en/papers/tan-2026-calibrating-inference-time-alignment-sequence/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Shanwen Tan, Ziyang Dong, Wei Ju, et al.*2026* 20. **[DANCE: Diversity-attended Dynamic Caching with Asymmetric Quantization for Test-time Adaptation of Vision-Language Models](https://md.research.elamur.ai/free/en/papers/zou-2026-dance-diversity-attended-dynamic-caching/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Shunge Zou, Changhu Wang, Wei Ju, et al.*2026* 21. **[SciPedia: Unlocking the Value of Scientific Data for Pre-training](https://md.research.elamur.ai/free/en/papers/qin-2026-scipedia-unlocking-value-scientific-data/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Yiwei Qin, Zhen Huang, Tiantian Mi, et al.*2026* 44 more citing papers of our library have no page here yet. - [← back to](https://md.research.elamur.ai/free/en/authors/nan-yin/) — Nan Yin