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Who cites Pang Wei Koh

2,552 citations of their works from 2,433 papers of our library (of the 140,884 whose bibliographies we read) · 198 with a page here, the most cited first · page 2 of 2 · 101–198 · ← Pang Wei Koh

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  1. Fine-Grained Human Feedback Gives Better Rewards for Language Model TrainingZeqiu Wu, Yushi Hu, Weijia Shi, et al.2023 · 212 citations
  2. MADLAD-400: A Multilingual And Document-Level Large Audited DatasetSneha Kudugunta, Isaac Caswell, Biao Zhang, et al.2023 · 211 citations
  3. How Johnny Can Persuade LLMs to Jailbreak Them: Rethinking Persuasion to Challenge AI Safety by Humanizing LLMsYi Zeng, Hongpeng Lin, Jingwen Zhang, et al.2024 · 202 citations
  4. Aligning Large Language Models with Human: A SurveyYufei Wang, Wanjun Zhong, Liangyou Li, et al.2023 · 199 citations
  5. Large Language Model as Attributed Training Data Generator: A Tale of Diversity and BiasYue Yu, Yuchen Zhuang, Jieyu Zhang, et al.2023 · 198 citations
  6. Scalable Extraction of Training Data from (Production) Language ModelsMilad Nasr, Nicholas Carlini, Jonathan Hayase, et al.2023 · 197 citations
  7. What matters when building vision-language models?Hugo Laurençon, Leo Tronchon, Matthieu Cord, et al.2024 · 195 citations
  8. Towards Faithful Model Explanation in NLP: A SurveyQing Lyu, Marianna Apidianaki, Chris Callison-Burch2024 · 194 citations
  9. Generative Data Augmentation for Commonsense ReasoningYiben Yang, Chaitanya Malaviya, Jared Fernandez, et al.2020 · 194 citations
  10. The Prompt Report: A Systematic Survey of Prompt Engineering TechniquesSander Schulhoff, Michael Ilie, Nishant Balepur, et al.2024 · 187 citations
  11. SGPT: GPT Sentence Embeddings for Semantic SearchNiklas Muennighoff2022 · 187 citations
  12. OBELICS: An Open Web-Scale Filtered Dataset of Interleaved Image-Text DocumentsHugo Laurençon, Lucile Saulnier, Leo Tronchon, et al.2023 · 183 citations
  13. Explaining Black Box Predictions and Unveiling Data Artifacts through Influence FunctionsXiaochuang Han, Byron C. Wallace, Yulia Tsvetkov2020 · 180 citations
  14. CulturaX: A Cleaned, Enormous, and Multilingual Dataset for Large Language Models in 167 LanguagesThuat Nguyen, Chien Van Nguyen, Viet Dac Lai, et al.2023 · 179 citations
  15. Evaluating Large Language Models: A Comprehensive SurveyZishan Guo, Renren Jin, Chuang Liu, et al.2023 · 177 citations
  16. Towards Reasoning Era: A Survey of Long Chain-of-Thought for Reasoning Large Language ModelsQiguang Chen, Libo Qin, Jinhao Liu, et al.2025 · 174 citations
  17. Cambrian-1: A Fully Open, Vision-Centric Exploration of Multimodal LLMsShengbang Tong, Ellis Brown, Penghao Wu, et al.2024 · 173 citations
  18. SmolLM2: When Smol Goes Big — Data-Centric Training of a Small Language ModelLoubna Ben Allal, Anton Lozhkov, Elie Bakouch, et al.2025 · 171 citations
  19. Survey on Factuality in Large Language Models: Knowledge, Retrieval and Domain-SpecificityCunxiang Wang, Xiaoze Liu, Yuanhao Yue, et al.2023 · 169 citations
  20. Aligning Large Multimodal Models with Factually Augmented RLHFZhiqing Sun, Sheng Shen, Shengcao Cao, et al.2023 · 168 citations
  21. Low-Resource Languages Jailbreak GPT-4Zheng-Xin Yong, Cristina Menghini, Stephen H. Bach2023 · 168 citations
  22. Long-form factuality in large language modelsJerry Wei, Chengrun Yang, Xinying Song, et al.2024 · 162 citations
  23. Catastrophic Jailbreak of Open-source LLMs via Exploiting GenerationYangsibo Huang, Samyak Gupta, Mengzhou Xia, et al.2023 · 162 citations
  24. MiniCheck: Efficient Fact-Checking of LLMs on Grounding DocumentsLiyan Tang, Philippe Laban, Greg Durrett2024 · 159 citations
  25. 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
  26. GPT-4 Is Too Smart To Be Safe: Stealthy Chat with LLMs via CipherYouliang Yuan, Wenxiang Jiao, Wenxuan Wang, et al.2023 · 158 citations
  27. SmoothLLM: Defending Large Language Models Against Jailbreaking AttacksAlexander Robey, Eric Wong, Hamed Hassani, et al.2023 · 157 citations
  28. DataComp-LM: In search of the next generation of training sets for language modelsJeffrey Li, Alex Fang, Georgios Smyrnis, et al.2024 · 156 citations
  29. WildGuard: Open One-Stop Moderation Tools for Safety Risks, Jailbreaks, and Refusals of LLMsSeungju Han, Kavel Rao, Allyson Ettinger, et al.2024 · 155 citations
  30. Leveraging Large Language Models for Multiple Choice Question AnsweringJoshua Robinson, Christopher Michael Rytting, David Wingate2022 · 154 citations
  31. Self-contradictory Hallucinations of Large Language Models: Evaluation, Detection and MitigationNiels Mundler, Jingxuan He, Slobodan Jenko, et al.2023 · 150 citations
  32. Measuring short-form factuality in large language modelsJason Wei, Nguyen Karina, Hyung Won Chung, et al.2024 · 147 citations
  33. Draft & Verify: Lossless Large Language Model Acceleration via Self-Speculative DecodingJun Zhang, Jue Wang, Huan Li, et al.2024 · 146 citations
  34. MiniLLM: On-Policy Distillation of Large Language ModelsYuxian Gu, Li Dong, Furu Wei, et al.2023 · 143 citations
  35. JudgeLM: Fine-tuned Large Language Models are Scalable JudgesLianghui Zhu, Xinggang Wang, Xinlong Wang2023 · 141 citations
  36. DeepInception: Hypnotize Large Language Model to Be JailbreakerXuan Li, Zhanke Zhou, Jianing Zhu, et al.2023 · 138 citations
  37. A Roadmap to Pluralistic AlignmentTaylor Sorensen, Jared Moore, Jillian Fisher, et al.2024 · 135 citations
  38. Secrets of RLHF in Large Language Models Part I: PPORui Zheng, Shihan Dou, Songyang Gao, et al.2023 · 130 citations
  39. Fanar: An Arabic-Centric Multimodal Generative AI PlatformFanar Team: Ummar Abbas, Mohammad Shahmeer Ahmad, Firoj Alam, et al.2025 · 127 citations
  40. Assisting in Writing Wikipedia-like Articles From Scratch with Large Language ModelsYijia Shao, Yucheng Jiang, Theodore Kanell, et al.2024 · 126 citations
  41. InfLLM: Training-Free Long-Context Extrapolation for LLMs with an Efficient Context MemoryChaojun Xiao, Pengle Zhang, Xu Han, et al.2024 · 125 citations
  42. Safety-Tuned LLaMAs: Lessons From Improving the Safety of Large Language Models that Follow InstructionsFederico Bianchi, Mirac Suzgun, Giuseppe Attanasio, et al.2023 · 124 citations
  43. Multimodal ArXiv: A Dataset for Improving Scientific Comprehension of Large Vision-Language ModelsLei Li, Yuqi Wang, Runxin Xu, et al.2024 · 123 citations
  44. Large Language Model Alignment: A SurveyTianhao Shen, Renren Jin, Yufei Huang, et al.2023 · 123 citations
  45. Fine-tuning Language Models for FactualityKatherine Tian, Eric Mitchell, Huaxiu Yao, et al.2023 · 120 citations
  46. OpenThoughts: Data Recipes for Reasoning ModelsEtash Guha, Ryan Marten, Sedrick Keh, et al.2025 · 113 citations
  47. Olmo 3Team Olmo: Allyson Ettinger, Amanda Bertsch, Bailey Kuehl, et al.2025 · 109 citations
  48. ExpertQA: Expert-Curated Questions and Attributed AnswersChaitanya Malaviya, Subin Lee, Sihao Chen, et al.2024 · 109 citations
  49. Inverse Scaling: When Bigger Isn't BetterIan R. McKenzie, Alexander Lyzhov, Michael Pieler, et al.2023 · 99 citations
  50. 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
  51. GLM-5: from Vibe Coding to Agentic EngineeringAohan Zeng, Xin Lv, Zhenyu Hou, et al.2026 · 89 citations
  52. Language Modeling Is CompressionGregoire Deletang, Anian Ruoss, Paul-Ambroise Duquenne, et al.2023 · 89 citations
  53. Bridging the Gap: A Survey on Integrating (Human) Feedback for Natural Language GenerationPatrick Fernandes, Aman Madaan, Emmy Liu, et al.2023 · 84 citations
  54. Beyond Chinchilla-Optimal: Accounting for Inference in Language Model Scaling LawsNikhil Sardana, Jacob Portes, Sasha Doubov, et al.2024 · 47 citations
  55. Scaling Laws with Vocabulary: Larger Models Deserve Larger VocabulariesChaofan Tao, Qian Liu, Longxu Dou, et al.2024 · 42 citations
  56. OG-RAG: Ontology-grounded retrieval-augmented generation for large language modelsKartik Sharma, Peeyush Kumar, Yunqing Li2025 · 37 citations
  57. Pragmatics in Language Grounding: Phenomena, Tasks, and Modeling ApproachesDaniel Fried, Nicholas Tomlin, Jennifer Hu, et al.2023 · 36 citations
  58. Observational Scaling Laws and the Predictability of Language Model PerformanceYangjun Ruan, Chris J. Maddison, Tatsunori Hashimoto2024 · 28 citations
  59. Taqyim: Evaluating Arabic NLP Tasks Using ChatGPT ModelsZaid Alyafeai, Maged S. Alshaibani, Badr AlKhamissi, et al.2023 · 25 citations
  60. Scaling Laws and Compute-Optimal Training Beyond Fixed Training DurationsAlexander Hägele, Elie Bakouch, Atli Kosson, et al.2024 · 24 citations
  61. Distillation Scaling LawsDan Busbridge, Amitis Shidani, Floris Weers, et al.2025 · 23 citations
  62. DADA: Dialect Adaptation via Dynamic Aggregation of Linguistic RulesYanchen Liu, William Held, Diyi Yang2023 · 20 citations
  63. Evaluating statistical language models as pragmatic reasonersBenjamin Lipkin, Lionel Wong, Gabriel Grand, et al.2023 · 18 citations
  64. Evaluating Large Language Models for Health-related Queries with PresuppositionsNavreet Kaur, Monojit Choudhury, Danish Pruthi2024 · 15 citations
  65. Resolving Discrepancies in Compute-Optimal Scaling of Language ModelsTomer Porian, Mitchell Wortsman, Jenia Jitsev, et al.2024 · 14 citations
  66. from Benign import Toxic: Jailbreaking the Language Model via Adversarial MetaphorsYu Yan, Sheng Sun, Zenghao Duan, et al.2025 · 12 citations
  67. Bridging the Resource Gap: Exploring the Efficacy of English and Multilingual LLMs for SwedishOskar Holmström, Jenny Kunz, Marco Kuhlmann2023 · 8 citations
  68. Bilingual Adaptation of Monolingual Foundation ModelsGurpreet Gosal, Yishi Xu, Gokul Ramakrishnan, et al.2024 · 7 citations
  69. Arabic Stable LM: Adapting Stable LM 2 1.6B to ArabicZaid Alyafeai, Michael Pieler, Hannah Teufel, et al.2024 · 6 citations
  70. MedAraBench: Large-Scale Arabic Medical Question Answering Dataset and BenchmarkMouath Abu-Daoud, Leen Kharouf, Omar El Hajj, et al.2026 · 5 citations
  71. Gender Disambiguation in Machine Translation: Diagnostic Evaluation in Decoder-Only ArchitecturesChiara Manna, Hosein Mohebbi, Afra Alishahi, et al.2026 · 3 citations
  72. Benchmarking Large Language Models for Chinese and Japanese IMEs: Phonetic-to-Character Generation and Textual Error CorrectionYuchun Zou, Tedd Lee, Xiaodi Fan, et al.2026 · 2 citations
  73. BSC's Submission to the Instruction Following Track of IWSLT 2026Oriol Pareras, Joan Llado, Pol Buitrago, et al.2026 · 1 citation
  74. Constructing a Japanese Claim Decomposition Dataset for Fact-Checking of LLM-Generated TextsMiwa Masano, Ribeka Keyaki, Atsushi Keyaki, et al.2026 · 1 citation
  75. HalluTruthQA-4K: A Fine-Grained Corpus and Annotation Process for Arabic Hallucination Detection and Truth VerificationSalah Eddine Bekhouche; Abdessalam Bouchekif; Hichem Telli; Mohammed-En-Nadhir Zighem;, Abdenour Hadid2026 · 1 citation
  76. Is This Idea Novel? An Automated Benchmark for Judgment of Research IdeasTim Schopf, Michael Färber2026 · 1 citation
  77. 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
  78. Reformulate and Create, Don't Translate: Creating Natural Prompts for Underserved LanguagesAnnika Simonsen, Mathias Stenlund, Lars Bungum, et al.2026 · 1 citation
  79. What Exactly do Children Receive in Language Acquisition? A Case Study on CHILDES with Automated Detection of Filler-Gap DependenciesZhenghao Zhou, William Dai, Maya Viswanathan, et al.2026 · 1 citation
  80. AmazoniaNLP: A Survey of Extreme Low-Resource Languages in the Peruvian-Brazilian AmazonRodolfo Joel Zevallos, Fabrício Carraro, John E. Ortega2026
  81. AraDynFact: Dynamic Evaluation of Factual Knowledge in ArabicIgnacio Iacobacci, Faroq Altam, Zhaozhi Qian, et al.2026
  82. Dialectal Filtering: Synthesizing Kurdish Corpora for Low-Resource Varieties by Utilizing “Noise” in Large Textual DataChristian Schuler, Raman Ahmad, Ānrán Wáng, et al.2026
  83. Emotion Transcription in Conversation: A Benchmark for Capturing Subtle and Complex Emotional States through Natural LanguageYoshiki Tanaka, Ryuichi Uehara, Koji Inoue, et al.2026
  84. EpiGator: An Event-based Surveillance System for Infectious Disease OutbreaksYiheng Wu, Jue Hou, Trangcasanchai Sathianpong, et al.2026
  85. How Far Can Bias Go? Tracing Bias from Pre-Training Data to AlignmentMarion Thaler, Abdullatif Köksal, Alina Leidinger, et al.2026
  86. Is Biomedical Specialization Still Worth It? Insights from Domain-Adaptive Language Modelling with a New French Health CorpusAidan Mannion, Cécile Macaire, Armand Violle, et al.2026
  87. LongTailQA: Benchmarking LLMs and RAG Models on Disambiguated Long-Tail EntitiesWilliam Xion, Uwe Hadler, Tim Cofala, et al.2026
  88. MUC-4 Revisited: Document-level Event Analysis beyond Span-based ArgumentsHelene Bøsei Olsen, Erik Velldal, Lilja Øvrelid2026
  89. Probing the Dynamics of Syntactic Ability Acquisition Throughout LLM PretrainingHiroshi Matsuda, Masayuki Asahara2026
  90. RadTimeline: Timeline Summarization for Longitudinal Radiological Lung FindingsSitong Zhou, Meliha Yetisgen, Mari Ostendorf2026
  91. Rethinking the Idiomaticity Decomposability Hypothesis: Evidence from Distributional LearningMaggie Mi, Golzar Atefi, Atsuki Yamaguchi, et al.2026
  92. S-VoCAL: A Dataset and Evaluation Framework for Inferring Speaking Voice Character Attributes in LiteratureAbigail Berthe-Pardo, Gaspard Michel, Elena V. Epure, et al.2026
  93. Sentiment Classification of Gaza War Headlines: A Comparative Analysis of Large Language Models and Arabic Fine-Tuned BERT ModelsAmr Eleraqi; Hager H. Mustafa;, Abdul Hadi N. Ahmed2026
  94. ViX-Ray: A Vietnamese Chest X-Ray Dataset for Vision-Language ModelsDuy Vu Minh Nguyen, Chinh Thanh Truong, Trần Hoàng Phúc, et al.2026
  95. Why do Large Language Models Fail in Low-resource Translation? Unraveling the Token Dynamics of Large Language Models for Machine TranslationShenbin Qian, Yves Scherrer2026
  96. Embodied Intelligence Systems Based on Large Models: A Survey (基于大模型的具身智能系统综述)Wensheng Wang (王文晟), Ning Tan (谭宁), Kai Huang (黄凯), et al.2025
  97. Survey on Hallucinations in Large Language Models (大语言模型的幻觉问题研究综述)Zeyuan Liu (刘泽垣), Pengjiang Wang (王鹏江), Xiaobin Song (宋晓斌), et al.2024
  98. Questions After ChatGPT: Opportunities and Challenges of Very Large Pre-trained Models (问答ChatGPT之后: 超大预训练模型的机遇和挑战)Jingwei Lu (卢经纬), Chao Guo (郭超), Xingyuan Dai (戴星原), et al.2023

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