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Who cites Vincent Zhao

1,303 citations of their works from 1,207 papers of our library (of the 140,884 whose bibliographies we read) · 151 with a page here, the most cited first · page 2 of 2 · 101–151 · ← Vincent Zhao

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  1. NV-Embed: Improved Techniques for Training LLMs as Generalist Embedding ModelsChankyu Lee, Rajarshi Roy, Mengyao Xu, et al.2024 · 219 citations
  2. Demonstrate-Search-Predict: Composing retrieval and language models for knowledge-intensive NLPOmar Khattab, Keshav Santhanam, Xiang Lisa Li, et al.2022 · 211 citations
  3. Teaching language models to support answers with verified quotesJacob Menick, Maja Trebacz, Vladimir Mikulik, et al.2022 · 211 citations
  4. PlanBench: An Extensible Benchmark for Evaluating Large Language Models on Planning and Reasoning about ChangeKarthik Valmeekam, Matthew Marquez, Alberto Olmo, et al.2022 · 209 citations
  5. RAGTruth: A Hallucination Corpus for Developing Trustworthy Retrieval-Augmented Language ModelsCheng Niu, Yuanhao Wu, Juno Zhu, et al.2024 · 204 citations
  6. Internet-augmented language models through few-shot prompting for open-domain question answeringAngeliki Lazaridou, Elena Gribovskaya, Wojciech Stokowiec, et al.2022 · 204 citations
  7. A Systematic Study and Comprehensive Evaluation of ChatGPT on Benchmark DatasetsMd Tahmid Rahman Laskar, M Saiful Bari, Mizanur Rahman, et al.2023 · 198 citations
  8. One Embedder, Any Task: Instruction-Finetuned Text EmbeddingsHongjin Su, Weijia Shi, Jungo Kasai, et al.2022 · 191 citations
  9. SGPT: GPT Sentence Embeddings for Semantic SearchNiklas Muennighoff2022 · 187 citations
  10. Knowledge Conflicts for LLMs: A SurveyRongwu Xu, Zehan Qi, Zhijiang Guo, et al.2024 · 179 citations
  11. Evaluating Large Language Models: A Comprehensive SurveyZishan Guo, Renren Jin, Chuang Liu, et al.2023 · 177 citations
  12. LINC: A Neurosymbolic Approach for Logical Reasoning by Combining Language Models with First-Order Logic ProversTheo X. Olausson, Alex Gu, Benjamin Lipkin, et al.2023 · 171 citations
  13. Leak, Cheat, Repeat: Data Contamination and Evaluation Malpractices in Closed-Source LLMsSimone Balloccu, Patrícia Schmidtová, Mateusz Lango, et al.2024 · 170 citations
  14. Survey on Factuality in Large Language Models: Knowledge, Retrieval and Domain-SpecificityCunxiang Wang, Xiaoze Liu, Yuanhao Yue, et al.2023 · 169 citations
  15. SqueezeLLM: Dense-and-Sparse QuantizationSehoon Kim, Coleman Hooper, Amir Gholami, et al.2023 · 168 citations
  16. Promptagator: Few-shot Dense Retrieval From 8 ExamplesZhuyun Dai, Vincent Y. Zhao, Ji Ma, et al.2022 · 167 citations
  17. Generative Representational Instruction TuningNiklas Muennighoff, Hongjin Su, Liang Wang, et al.2024 · 165 citations
  18. Long-form factuality in large language modelsJerry Wei, Chengrun Yang, Xinying Song, et al.2024 · 162 citations
  19. Orca 2: Teaching Small Language Models How to ReasonArindam Mitra, Luciano Del Corro, Shweti Mahajan, et al.2023 · 160 citations
  20. Reasoning with Language Model Prompting: A SurveyShuofei Qiao, Yixin Ou, Ningyu Zhang, et al.2022 · 160 citations
  21. MiniCheck: Efficient Fact-Checking of LLMs on Grounding DocumentsLiyan Tang, Philippe Laban, Greg Durrett2024 · 159 citations
  22. 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
  23. FacTool: Factuality Detection in Generative AI — A Tool Augmented Framework for Multi-Task and Multi-Domain ScenariosI-Chun Chern, Steffi Chern, Shiqi Chen, et al.2023 · 158 citations
  24. ProsocialDialog: A Prosocial Backbone for Conversational AgentsHyunwoo Kim, Youngjae Yu, Liwei Jiang, et al.2022 · 149 citations
  25. Is GPT-3 a Good Data Annotator?Bosheng Ding, Chengwei Qin, Linlin Liu, et al.2022 · 144 citations
  26. MiniLLM: On-Policy Distillation of Large Language ModelsYuxian Gu, Li Dong, Furu Wei, et al.2023 · 143 citations
  27. ToolkenGPT: Augmenting Frozen Language Models with Massive Tools via Tool EmbeddingsShibo Hao, Tianyang Liu, Zhen Wang, et al.2023 · 142 citations
  28. Investigating Data Contamination in Modern Benchmarks for Large Language ModelsChunyuan Deng, Yilun Zhao, Xiangru Tang, et al.2024 · 137 citations
  29. Efficient Training of Language Models to Fill in the MiddleMohammad Bavarian, Heewoo Jun, Nikolas Tezak, et al.2022 · 137 citations
  30. Attributed Question Answering: Evaluation and Modeling for Attributed Large Language ModelsBernd Bohnet, Vinh Q. Tran, Pat Verga, et al.2022 · 136 citations
  31. Task-aware Retrieval with InstructionsAkari Asai, Timo Schick, Patrick Lewis, et al.2023 · 131 citations
  32. MathDial: A Dialogue Tutoring Dataset with Rich Pedagogical Properties Grounded in Math Reasoning ProblemsJakub Macina, Nico Daheim, Sankalan Chowdhury, et al.2023 · 130 citations
  33. Secrets of RLHF in Large Language Models Part I: PPORui Zheng, Shihan Dou, Songyang Gao, et al.2023 · 130 citations
  34. Fanar: An Arabic-Centric Multimodal Generative AI PlatformFanar Team: Ummar Abbas, Mohammad Shahmeer Ahmad, Firoj Alam, et al.2025 · 127 citations
  35. A Recipe For Arbitrary Text Style Transfer with Large Language ModelsEmily Reif, Daphne Ippolito, Ann Yuan, et al.2021 · 125 citations
  36. Nomic Embed: Training a Reproducible Long Context Text EmbedderZach Nussbaum, John X. Morris, Brandon Duderstadt, et al.2024 · 123 citations
  37. Fine-tuning Language Models for FactualityKatherine Tian, Eric Mitchell, Huaxiu Yao, et al.2023 · 120 citations
  38. From Persona to Personalization: A Survey on Role-Playing Language AgentsJiangjie Chen, Xintao Wang, Rui Xu, et al.2024 · 114 citations
  39. ExpertQA: Expert-Curated Questions and Attributed AnswersChaitanya Malaviya, Subin Lee, Sihao Chen, et al.2024 · 109 citations
  40. The Goldilocks of Pragmatic Understanding: Fine-Tuning Strategy Matters for Implicature Resolution by LLMsLaura Ruis, Akbir Khan, Stella Biderman, et al.2022 · 86 citations
  41. Bridging the Gap: A Survey on Integrating (Human) Feedback for Natural Language GenerationPatrick Fernandes, Aman Madaan, Emmy Liu, et al.2023 · 84 citations
  42. Coreference Resolution through a seq2seq Transition-Based SystemBernd Bohnet, Chris Alberti, Michael Collins2023 · 77 citations
  43. Bridging the Preference Gap between Retrievers and LLMsZixuan Ke, Weize Kong, Cheng Li, et al.2024 · 45 citations
  44. Transcending Scaling Laws with 0.1% Extra ComputeYi Tay, Jason Wei, Hyung Won Chung, et al.2022 · 40 citations
  45. Exploring the Numerical Reasoning Capabilities of Language Models: A Comprehensive Analysis on Tabular DataMubashara Akhtar, Abhilash Shankarampeta, Vivek Gupta, et al.2023 · 38 citations
  46. Reflect, Not Reflex: Inference-Based Common Ground Improves Dialogue Response QualityPei Zhou, Hyundong Cho, Pegah Jandaghi, et al.2022 · 34 citations
  47. The Gricean Maxims in NLP — A SurveyLea Krause, Piek T.J.M. Vossen2024 · 10 citations
  48. HeSum: a Novel Dataset for Abstractive Text Summarization in HebrewTzuf Paz-Argaman, Itai Mondshine, Asaf Achi Mordechai, et al.2024 · 7 citations
  49. Optimizing RAG Pipelines for Arabic: A Systematic Analysis of Core ComponentsJumana Alsubhi, Mohammad D. Alahmadi, Ahmed Alhusayni, et al.2025 · 2 citations
  50. Efficient Topic Extraction via Graph-Based Labeling: A Lightweight Alternative to Deep ModelsSalma Mekaoui, Hiba Sofyan, Imane Benchrif, et al.2026
  51. Survey on Key Technologies for Large Language Model Pre-training Systems (大语言模型预训练系统关键技术综述)Yanjie Gao (高彦杰), Yueguo Chen (陈跃国)2025

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