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Who cites Shangbin Feng

428 citations of their works from 404 papers of our library (of the 141,840 whose bibliographies we read) · 19 with a page here, the most cited first · ← Shangbin Feng

  1. A Survey on Hallucination in Large Language Models: Principles, Taxonomy, Challenges, and Open QuestionsLei Huang, Weijiang Yu, Weitao Ma, et al.2023 · 3,222 citations
  2. Unleashing the potential of prompt engineering for large language modelsBanghao Chen, Zhaofeng Zhang, Nicolas Langrene, et al.2023 · 536 citations
  3. The FineWeb Datasets: Decanting the Web for the Finest Text Data at ScaleGuilherme Penedo, Hynek Kydlíček, Loubna Ben allal, et al.2024 · 404 citations
  4. Challenges and Applications of Large Language ModelsJean Kaddour, Joshua Harris, Maximilian Mozes, et al.2023 · 300 citations
  5. Having Beer after Prayer? Measuring Cultural Bias in Large Language ModelsTarek Naous, Michael J. Ryan, Alan Ritter, et al.2023 · 268 citations
  6. G-Retriever: Retrieval-Augmented Generation for Textual Graph Understanding and Question AnsweringXiaoxin He, Yijun Tian, Yifei Sun, et al.2024 · 234 citations
  7. Knowledge Conflicts for LLMs: A SurveyRongwu Xu, Zehan Qi, Zhijiang Guo, et al.2024 · 179 citations
  8. Survey on Factuality in Large Language Models: Knowledge, Retrieval and Domain-SpecificityCunxiang Wang, Xiaoze Liu, Yuanhao Yue, et al.2023 · 170 citations
  9. When Can LLMs Actually Correct Their Own Mistakes? A Critical Survey of Self-Correction of LLMsRyo Kamoi, Yusen Zhang, Nan Zhang, et al.2024 · 159 citations
  10. A Roadmap to Pluralistic AlignmentTaylor Sorensen, Jared Moore, Jillian Fisher, et al.2024 · 135 citations
  11. Political Compass or Spinning Arrow? Towards More Meaningful Evaluations for Values and Opinions in Large Language ModelsPaul Röttger, Valentin Hofmann, Valentina Pyatkin, et al.2024 · 134 citations
  12. Towards Measuring and Modeling “Culture” in LLMs: A SurveyMuhammad Farid Adilazuarda, Sagnik Mukherjee, Pradhyumna Lavania, et al.2024 · 102 citations
  13. Cultural Alignment in Large Language Models: An Explanatory Analysis Based on Hofstede's Cultural DimensionsReem I. Masoud, Ziquan Liu, Martin Ferianc, et al.2025 · 73 citations
  14. MediQ: Question-Asking LLMs and a Benchmark for Reliable Interactive Clinical ReasoningShuyue Stella Li, Vidhisha Balachandran, Shangbin Feng, et al.2024 · 70 citations
  15. LLMs Struggle to Reject False Presuppositions when Misinformation Stakes are HighJudith Sieker, Clara Lachenmaier, Sina Zarrieß2025 · 10 citations
  16. German General Social Survey Personas: A Survey-Derived Persona Prompt Collection for Population-Aligned LLM StudiesJens Rupprecht, Leon Froehling, Claudia Wagner, et al.2026 · 1 citation
  17. Common Sense vs. Morality: The Curious Case of Narrative Focus Bias in LLMsSaugata Purkayastha, Pranav Kushare, Pragya Paramita Pal, et al.2026
  18. How Far Can Bias Go? Tracing Bias from Pre-Training Data to AlignmentMarion Thaler, Abdullatif Köksal, Alina Leidinger, et al.2026
  19. Recent Advances in Text-attributed Graph Learning via Large Models (大模型驱动的文本属性图学习研究进展)Yanping Zheng (郑艳萍), Jiarui Ji (季嘉蕊), Yuwei Hu (胡雨韦), et al.2026

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