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Who cites Susan Zhang

1,741 citations of their works from 1,735 papers of our library (of the 140,884 whose bibliographies we read) · 166 with a page here, the most cited first · page 2 of 2 · 101–166 · ← Susan Zhang

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  1. Memorization Without Overfitting: Analyzing the Training Dynamics of Large Language ModelsKushal Tirumala, Aram H. Markosyan, Luke Zettlemoyer, et al.2022 · 183 citations
  2. GrIPS: Gradient-free, Edit-based Instruction Search for Prompting Large Language ModelsArchiki Prasad, Peter Hase, Xiang Zhou, et al.2023 · 180 citations
  3. On Second Thought, Let's Not Think Step by Step! Bias and Toxicity in Zero-Shot ReasoningOmar Shaikh, Hongxin Zhang, William Held, et al.2023 · 180 citations
  4. Adapting Language Models to Compress ContextsAlexis Chevalier, Alexander Wettig, Anirudh Ajith, et al.2023 · 179 citations
  5. Eliciting Latent Predictions from Transformers with the Tuned LensNora Belrose, Igor Ostrovsky, Lev McKinney, et al.2023 · 179 citations
  6. Evaluating Large Language Models: A Comprehensive SurveyZishan Guo, Renren Jin, Chuang Liu, et al.2023 · 177 citations
  7. DetectLLM: Leveraging Log Rank Information for Zero-Shot Detection of Machine-Generated TextJinyan Su, Terry Zhuo, Di Wang, et al.2023 · 172 citations
  8. Survey on Factuality in Large Language Models: Knowledge, Retrieval and Domain-SpecificityCunxiang Wang, Xiaoze Liu, Yuanhao Yue, et al.2023 · 169 citations
  9. SqueezeLLM: Dense-and-Sparse QuantizationSehoon Kim, Coleman Hooper, Amir Gholami, et al.2023 · 168 citations
  10. Speak, Memory: An Archaeology of Books Known to ChatGPT/GPT-4Kent K. Chang, Mackenzie Cramer, Sandeep Soni, et al.2023 · 166 citations
  11. Large Language Model UnlearningYuanshun Yao, Xiaojun Xu, Yang Liu2023 · 165 citations
  12. Do All Languages Cost the Same? Tokenization in the Era of Commercial Language ModelsOrevaoghene Ahia, Sachin Kumar, Hila Gonen, et al.2023 · 164 citations
  13. Quark: Controllable Text Generation with Reinforced UnlearningXiming Lu, Sean Welleck, Jack Hessel, et al.2022 · 164 citations
  14. Describe, Explain, Plan and Select: Interactive Planning with Large Language Models Enables Open-World Multi-Task AgentsZihao Wang, Shaofei Cai, Guanzhou Chen, et al.2023 · 161 citations
  15. TheoremQA: A Theorem-driven Question Answering DatasetWenhu Chen, Ming Yin, Max Ku, et al.2023 · 154 citations
  16. SFT Memorizes, RL Generalizes: A Comparative Study of Foundation Model Post-trainingTianzhe Chu, Yuexiang Zhai, Jihan Yang, et al.2025 · 151 citations
  17. Language-Specific Neurons: The Key to Multilingual Capabilities in Large Language ModelsTianyi Tang, Wenyang Luo, Haoyang Huang, et al.2024 · 151 citations
  18. Self-contradictory Hallucinations of Large Language Models: Evaluation, Detection and MitigationNiels Mundler, Jingxuan He, Slobodan Jenko, et al.2023 · 150 citations
  19. ProsocialDialog: A Prosocial Backbone for Conversational AgentsHyunwoo Kim, Youngjae Yu, Liwei Jiang, et al.2022 · 149 citations
  20. Fast-DetectGPT: Efficient Zero-Shot Detection of Machine-Generated Text via Conditional Probability CurvatureGuangsheng Bao, Yanbin Zhao, Zhiyang Teng, et al.2023 · 146 citations
  21. Unlocking Efficiency in Large Language Model Inference: A Comprehensive Survey of Speculative DecodingHeming Xia, Zhe Yang, Qingxiu Dong, et al.2024 · 145 citations
  22. The BigScience ROOTS Corpus: A 1.6TB Composite Multilingual DatasetHugo Laurençon, Lucile Saulnier, Thomas Wang, et al.2023 · 145 citations
  23. In-Context Learning for Few-Shot Dialogue State TrackingYushi Hu, Chia-Hsuan Lee, Tianbao Xie, et al.2022 · 144 citations
  24. Is GPT-3 a Good Data Annotator?Bosheng Ding, Chengwei Qin, Linlin Liu, et al.2022 · 144 citations
  25. MiniLLM: On-Policy Distillation of Large Language ModelsYuxian Gu, Li Dong, Furu Wei, et al.2023 · 143 citations
  26. JudgeLM: Fine-tuned Large Language Models are Scalable JudgesLianghui Zhu, Xinggang Wang, Xinlong Wang2023 · 141 citations
  27. A Stitch in Time Saves Nine: Detecting and Mitigating Hallucinations of LLMs by Validating Low-Confidence GenerationNeeraj Varshney; Wenlin Yao; Hongming Zhang; Jianshu Chen;, Dong Yu2023 · 139 citations
  28. Symbolic Chain-of-Thought Distillation: Small Models Can Also “Think” Step-by-StepLiunian Harold Li, Jack Hessel, Youngjae Yu, et al.2023 · 139 citations
  29. Investigating Data Contamination in Modern Benchmarks for Large Language ModelsChunyuan Deng, Yilun Zhao, Xiangru Tang, et al.2024 · 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. InFoBench: Evaluating Instruction Following Ability in Large Language ModelsYiwei Qin, Kaiqiang Song, Yebowen Hu, et al.2024 · 133 citations
  32. Understanding the Effects of RLHF on LLM Generalisation and DiversityRobert Kirk, Ishita Mediratta, Christoforos Nalmpantis, et al.2023 · 131 citations
  33. MathDial: A Dialogue Tutoring Dataset with Rich Pedagogical Properties Grounded in Math Reasoning ProblemsJakub Macina, Nico Daheim, Sankalan Chowdhury, et al.2023 · 130 citations
  34. Analyzing Transformers in Embedding SpaceGuy Dar, Mor Geva, Ankit Gupta, et al.2023 · 129 citations
  35. Deductive Verification of Chain-of-Thought ReasoningZhan Ling, Yunhao Fang, Xuanlin Li, et al.2023 · 128 citations
  36. Knowledge Unlearning for Mitigating Privacy Risks in Language ModelsJoel Jang, Dongkeun Yoon, Sohee Yang, et al.2022 · 126 citations
  37. Large Language Model Alignment: A SurveyTianhao Shen, Renren Jin, Yufei Huang, et al.2023 · 123 citations
  38. The case for 4-bit precision: k-bit Inference Scaling LawsTim Dettmers, Luke Zettlemoyer2022 · 119 citations
  39. Knowledge-Augmented Language Model Prompting for Zero-Shot Knowledge Graph Question AnsweringJinheon Baek, Alham Fikri Aji, Amir Saffari2023 · 118 citations
  40. Chameleon: Mixed-Modal Early-Fusion Foundation ModelsChameleon Team2024 · 117 citations
  41. GoLLIE: Annotation Guidelines improve Zero-Shot Information-ExtractionOscar Sainz, Iker Garcia-Ferrero, Rodrigo Agerri, et al.2023 · 114 citations
  42. DistiLLM: Towards Streamlined Distillation for Large Language ModelsJongwoo Ko, Sungnyun Kim, Tianyi Chen, et al.2024 · 111 citations
  43. Inverse Scaling: When Bigger Isn't BetterIan R. McKenzie, Alexander Lyzhov, Michael Pieler, et al.2023 · 99 citations
  44. MathCoder: Seamless Code Integration in LLMs for Enhanced Mathematical ReasoningKe Wang, Houxing Ren, Aojun Zhou, et al.2023 · 98 citations
  45. Dictionary-based Phrase-level Prompting of Large Language Models for Machine TranslationMarjan Ghazvininejad, Hila Gonen, Luke Zettlemoyer2023 · 95 citations
  46. SemDeDup: Data-efficient learning at web-scale through semantic deduplicationAmro Abbas, Kushal Tirumala, Dániel Simig, et al.2023 · 94 citations
  47. InternLM-XComposer2: Mastering Free-form Text-Image Composition and Comprehension in Vision-Language Large ModelXiaoyi Dong, Pan Zhang, Yuhang Zang, et al.2024 · 92 citations
  48. The Goldilocks of Pragmatic Understanding: Fine-Tuning Strategy Matters for Implicature Resolution by LLMsLaura Ruis, Akbir Khan, Stella Biderman, et al.2022 · 86 citations
  49. Chain-of-Dictionary Prompting Elicits Translation in Large Language ModelsHongyuan Lu, Haoran Yang, Haoyang Huang, et al.2024 · 81 citations
  50. D4: Improving LLM Pretraining via Document De-Duplication and DiversificationKushal Tirumala, Daniel Simig, Armen Aghajanyan, et al.2023 · 79 citations
  51. Scaling Laws with Vocabulary: Larger Models Deserve Larger VocabulariesChaofan Tao, Qian Liu, Longxu Dou, et al.2024 · 42 citations
  52. Scaling Laws for Generative Mixed-Modal Language ModelsArmen Aghajanyan, Lili Yu, Alexis Conneau, et al.2023 · 39 citations
  53. Towards Cross-Tokenizer Distillation: the Universal Logit Distillation Loss for LLMsNicolas Boizard, Kevin El Haddad, Celine Hudelot, et al.2024 · 34 citations
  54. Observational Scaling Laws and the Predictability of Language Model PerformanceYangjun Ruan, Chris J. Maddison, Tatsunori Hashimoto2024 · 28 citations
  55. Exploring the Relationship between LLM Hallucinations and Prompt Linguistic Nuances: Readability, Formality, and ConcretenessVipula Rawte, Prachi Priya, S.M Towhidul Islam Tonmoy, et al.2023 · 27 citations
  56. Scaling Laws and Compute-Optimal Training Beyond Fixed Training DurationsAlexander Hägele, Elie Bakouch, Atli Kosson, et al.2024 · 24 citations
  57. Low-Resource Authorship Style Transfer: Can Non-Famous Authors Be Imitated?Ajay Patel, Nicholas Andrews, Chris Callison-Burch2022 · 24 citations
  58. Few-Shot Anaphora Resolution in Scientific Protocols via Mixtures of In-Context ExpertsNghia T. Le, Fan Bai, Alan Ritter2022 · 20 citations
  59. Resolving Discrepancies in Compute-Optimal Scaling of Language ModelsTomer Porian, Mitchell Wortsman, Jenia Jitsev, et al.2024 · 14 citations
  60. Constituency Parsing using LLMsXuefeng Bai, Jialong Wu, Yulong Chen, et al.2023 · 14 citations
  61. Bridging the Resource Gap: Exploring the Efficacy of English and Multilingual LLMs for SwedishOskar Holmström, Jenny Kunz, Marco Kuhlmann2023 · 8 citations
  62. Language Models Learn Constructional Semantics, Not To Mention Syntax: Investigating LM Understanding of Paired-Focus ConstructionsWesley Scivetti, Ethan Gotlieb Wilcox, Nathan Schneider, et al.2026 · 1 citation
  63. Spotlights and Blindspots: Evaluating Machine-Generated Text DetectionKevin Stowe, Kailash Patil2026 · 1 citation
  64. HatePrototypes: Interpretable and Transferable Representations for Implicit and Explicit Hate Speech DetectionIrina Proskurina, Marc-Antoine Carpentier, Julien Velcin2026
  65. Modeling the Memory-Surprisal Trade-Off over Time: Communicative Efficiency Decreases with Lexico-Grammatical Change in Scientific EnglishJulius Steuer, Marie-Pauline Krielke, Stefania Degaetano-Ortlieb, et al.2026
  66. 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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