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Who cites Thomas Hartvigsen

387 citations of their works from 384 papers of our library (of the 149,439 whose bibliographies we read) · 108 with a page here, the most cited first · page 1 of 2 · 1–100 · ← Thomas Hartvigsen

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  1. Llama 2: Open Foundation and Fine-Tuned Chat ModelsarXiv:2307.09288Hugo Touvron, Louis Martin, Kevin Stone, et al.2023 · 9,669 citations
  2. The Llama 3 Herd of ModelsarXiv:2407.21783Aaron Grattafiori, Abhimanyu Dubey, Abhinav Jauhri, et al.2024 · 7,682 citations
  3. Code Llama: Open Foundation Models for CodearXiv:2308.12950Baptiste Rozière, Jonas Gehring, Fabian Gloeckle, et al.2024 · 1,430 citations
  4. Self-RAG: Learning to Retrieve, Generate, and Critique through Self-ReflectionarXiv:2310.11511Akari Asai, Zeqiu Wu, Yizhong Wang, et al.2023 · 677 citations
  5. AGIEval: A Human-Centric Benchmark for Evaluating Foundation ModelsFindings of the Association for Computational LinguisticsWanjun Zhong, Ruixiang Cui, Yiduo Guo, et al.2024 · 575 citations
  6. Baichuan 2: Open Large-scale Language ModelsarXiv:2309.10305Aiyuan Yang, Bin Xiao, Bingning Wang, et al.2023 · 517 citations
  7. BioMistral: A Collection of Open-Source Pretrained Large Language Models for Medical DomainsFindings of the Association for Computational LinguisticsYanis Labrak, Adrien Bazoge, Emmanuel Morin, et al.2024 · 409 citations
  8. Orca: Progressive Learning from Complex Explanation Traces of GPT-4arXiv:2306.02707Subhabrata Mukherjee, Arindam Mitra, Ganesh Jawahar, et al.2023 · 369 citations
  9. Textbooks Are All You Need II: phi-1.5 technical reportarXiv:2309.05463Yuanzhi Li, Sébastien Bubeck, Ronen Eldan, et al.2023 · 336 citations
  10. Discovering Language Model Behaviors with Model-Written EvaluationsarXiv:2212.09251Ethan Perez, Sam Ringer, Kamilė Lukošiūtė, et al.2022 · 328 citations
  11. How Far Can Camels Go? Exploring the State of Instruction Tuning on Open ResourcesConference on Neural Information Processing Systems (NeurIPS)Yizhong Wang, Hamish Ivison, Pradeep Dasigi, et al.2023 · 317 citations
  12. MEDITRON-70B: Scaling Medical Pretraining for Large Language ModelsarXiv:2311.16079Zeming Chen, Alejandro Hernandez Cano, Angelika Romanou, et al.2023 · 315 citations
  13. Ragas: Automated Evaluation of Retrieval Augmented GenerationarXiv:2309.15217Shahul Es, Jithin James, Luis Espinosa-Anke, et al.2023 · 283 citations
  14. Corrective Retrieval Augmented GenerationarXiv:2401.15884Shi-Qi Yan, Jia-Chen Gu, Yun Zhu, et al.2024 · 273 citations
  15. Towards Measuring the Representation of Subjective Global Opinions in Language ModelsarXiv:2306.16388Esin Durmus, Karina Nguyen, Thomas I. Liao, et al.2023 · 270 citations
  16. A Holistic Approach to Undesired Content Detection in the Real WorldProceedings of the AAAI Conference on Artificial IntelligenceTodor Markov, Chong Zhang, Sandhini Agarwal, et al.2022 · 263 citations
  17. Aya Model: An Instruction Finetuned Open-Access Multilingual Language ModelarXiv:2402.07827Ahmet Üstün, Viraat Aryabumi, Zheng-Xin Yong, et al.2024 · 253 citations
  18. XSTest: A Test Suite for Identifying Exaggerated Safety Behaviours in Large Language ModelsarXiv:2308.01263Paul Rottger, Hannah Rose Kirk, Bertie Vidgen, et al.2023 · 244 citations
  19. Synthetic Data Generation with Large Language Models for Text Classification: Potential and LimitationsConference on Empirical Methods in Natural Language Processing (EMNLP)Zhuoyan Li, Hangxiao Zhu, Zhuoran Lu, et al.2023 · 242 citations
  20. Visual Adversarial Examples Jailbreak Aligned Large Language ModelsProceedings of the AAAI Conference on Artificial IntelligenceXiangyu Qi, Kaixuan Huang, Ashwinee Panda, et al.2023 · 240 citations
  21. On LLMs-Driven Synthetic Data Generation, Curation, and Evaluation: A SurveyFindings of the Association for Computational LinguisticsLin Long, Rui Wang, Ruixuan Xiao, et al.2024 · 237 citations
  22. TrustLLM: Trustworthiness in Large Language ModelsarXiv:2401.05561Yue Huang, Lichao Sun, Haoran Wang, et al.2024 · 237 citations
  23. Combating Misinformation in the Age of LLMs: Opportunities and ChallengesAI MagazineCanyu Chen, Kai Shu2023 · 214 citations
  24. Camels in a Changing Climate: Enhancing LM Adaptation with Tulu 2arXiv:2311.10702Hamish Ivison, Yizhong Wang, Valentina Pyatkin, et al.2023 · 207 citations
  25. Multilingual Jailbreak Challenges in Large Language ModelsarXiv:2310.06474Yue Deng, Wenxuan Zhang, Sinno Jialin Pan, et al.2023 · 192 citations
  26. Effective Long-Context Scaling of Foundation ModelsarXiv:2309.16039Wenhan Xiong, Jingyu Liu, Igor Molybog, et al.2023 · 184 citations
  27. Evaluating Large Language Models: A Comprehensive SurveyarXiv:2310.19736Zishan Guo, Renren Jin, Chuang Liu, et al.2023 · 182 citations
  28. Survey on Factuality in Large Language Models: Knowledge, Retrieval and Domain-SpecificityarXiv:2310.07521Cunxiang Wang, Xiaoze Liu, Yuanhao Yue, et al.2023 · 171 citations
  29. SmoothLLM: Defending Large Language Models Against Jailbreaking AttacksarXiv:2310.03684Alexander Robey, Eric Wong, Hamed Hassani, et al.2023 · 164 citations
  30. Orca 2: Teaching Small Language Models How to ReasonarXiv:2311.11045Arindam Mitra, Luciano Del Corro, Shweti Mahajan, et al.2023 · 162 citations
  31. MM-SafetyBench: A Benchmark for Safety Evaluation of Multimodal Large Language ModelsLecture notes in computer scienceXin Liu, Yichen Zhu, Jindong Gu, et al.2023 · 152 citations
  32. Searching for Best Practices in Retrieval-Augmented GenerationConference on Empirical Methods in Natural Language Processing (EMNLP)Xiaohua Wang, Zhenghua Wang, Xuan Gao, et al.2024 · 150 citations
  33. Increasing Diversity While Maintaining Accuracy: Text Data Generation with Large Language Models and Human InterventionsAnnual Meeting of the Association for Computational Linguistics (ACL)John Chung, Ece Kamar, Saleema Amershi2023 · 144 citations
  34. A Stitch in Time Saves Nine: Detecting and Mitigating Hallucinations of LLMs by Validating Low-Confidence GenerationarXiv:2307.03987Neeraj Varshney; Wenlin Yao; Hongming Zhang; Jianshu Chen;, Dong Yu2023 · 143 citations
  35. ToxicChat: Unveiling Hidden Challenges of Toxicity Detection in Real-World User-AI ConversationFindings of the Association for Computational LinguisticsZi Lin, Zihan Wang, Yongqi Tong, et al.2023 · 136 citations
  36. Pile of Law: Learning Responsible Data Filtering from the Law and a 256GB Open-Source Legal DatasetConference on Neural Information Processing Systems (NeurIPS)Peter Henderson, Mark S. Krass, Lucia Zheng, et al.2022 · 133 citations
  37. Olmo 3arXiv:2512.13961Team Olmo: Allyson Ettinger, Amanda Bertsch, Bailey Kuehl, et al.2025 · 130 citations
  38. Large Language Model Alignment: A SurveyarXiv:2309.15025Tianhao Shen, Renren Jin, Yufei Huang, et al.2023 · 124 citations
  39. SALAD-Bench: A Hierarchical and Comprehensive Safety Benchmark for Large Language ModelsFindings of the Association for Computational LinguisticsLijun Li, Bowen Dong, Ruohui Wang, et al.2024 · 119 citations
  40. Can LLM-Generated Misinformation Be Detected?arXiv:2309.13788Canyu Chen, Kai Shu2023 · 108 citations
  41. A Pretrainer's Guide to Training Data: Measuring the Effects of Data Age, Domain Coverage, Quality, & ToxicityarXiv:2305.13169Shayne Longpre, Gregory Yauney, Emily Reif, et al.2023 · 104 citations
  42. Shadow Alignment: The Ease of Subverting Safely-Aligned Language ModelsarXiv:2310.02949Xianjun Yang, Xiao Wang, Qi Zhang, et al.2023 · 103 citations
  43. Not All Countries Celebrate Thanksgiving: On the Cultural Dominance in Large Language ModelsAnnual Meeting of the Association for Computational Linguistics (ACL)Wenxuan Wang, Wenxiang Jiao, Jingyuan Huang, et al.2024 · 96 citations
  44. Do-Not-Answer: Evaluating Safeguards in LLMsFindings of the Association for Computational LinguisticsYuxia Wang, Haonan Li, Xudong Han, et al.2024 · 93 citations
  45. Tuning Language Models by ProxyarXiv:2401.08565Alisa Liu, Xiaochuang Han, Yizhong Wang, et al.2024 · 79 citations
  46. Do-Not-Answer: A Dataset for Evaluating Safeguards in LLMsarXiv:2308.13387Yuxia Wang, Haonan Li, Xudong Han, et al.2023 · 78 citations
  47. OR-Bench: An Over-Refusal Benchmark for Large Language ModelsarXiv:2405.20947Justin Cui, Wei-Lin Chiang, Ion Stoica, et al.2024 · 76 citations
  48. Unveiling the Implicit Toxicity in Large Language ModelsConference on Empirical Methods in Natural Language Processing (EMNLP)Jiaxin Wen, Pei Ke, Hao Sun, et al.2023 · 72 citations
  49. Sensitivity, Performance, Robustness: Deconstructing the Effect of Sociodemographic PromptingConference of the European Chapter of the Association for Computational Linguistics (EACL)Tilman Beck, Hendrik Schuff, Anne Lauscher, et al.2024 · 69 citations
  50. Phi-4-reasoning Technical ReportarXiv:2504.21318Marah Abdin, Sahaj Agarwal, Ahmed Awadallah, et al.2025 · 64 citations
  51. RM-Bench: Benchmarking Reward Models of Language Models with Subtlety and StylearXiv:2410.16184Yantao Liu, Zijun Yao, Rui Min, et al.2024 · 53 citations
  52. Unpacking DPO and PPO: Disentangling Best Practices for Learning from Preference FeedbackConference on Neural Information Processing Systems (NeurIPS)Hamish Ivison, Yizhong Wang, Jiacheng Liu, et al.2024 · 50 citations
  53. FLIRT: Feedback Loop In-context Red TeamingConference on Empirical Methods in Natural Language Processing (EMNLP)Ninareh Mehrabi, Palash Goyal, Christophe Dupuy, et al.2024 · 42 citations
  54. SimpleSafetyTests: a Test Suite for Identifying Critical Safety Risks in Large Language ModelsarXiv:2311.08370Bertie Vidgen, Nino Scherrer, Hannah Rose Kirk, et al.2023 · 42 citations
  55. Aligning Large Language Models with Human Preferences through Representation EngineeringAnnual Meeting of the Association for Computational Linguistics (ACL)Wenhao Liu, Xiaohua Wang, Muling Wu, et al.2024 · 37 citations
  56. SafetyPrompts: a Systematic Review of Open Datasets for Evaluating and Improving Large Language Model SafetyarXiv:2404.05399Paul Rottger, Fabio Pernisi, Bertie Vidgen, et al.2024 · 33 citations
  57. Interpretable Unified Language CheckingarXiv:2304.03728Tianhua Zhang, Hongyin Luo, Yung-Sung Chuang, et al.2023 · 32 citations
  58. What is the Role of Small Models in the LLM Era: A SurveyComputational LinguisticsLihu Chen, Gael Varoquaux2024 · 23 citations
  59. NeoBERT: A Next-Generation BERTarXiv:2502.19587Lola Le Breton, Quentin Fournier, Mariam El Mezouar, et al.2025 · 20 citations
  60. Unlocking General Long Chain-of-Thought Reasoning Capabilities of Large Language Models via Representation EngineeringAnnual Meeting of the Association for Computational Linguistics (ACL)Xinyu Tang, Xiaolei Wang, Zhihao Lv, et al.2025 · 19 citations
  61. An Empirical Study of Metrics to Measure Representational Harms in Pre-Trained Language ModelsarXiv:2301.09211Saghar Hosseini, Hamid Palangi, Ahmed Hassan Awadallah2023 · 19 citations
  62. A Survey on Efficient Large Language Model Training: From Data-centric PerspectivesAnnual Meeting of the Association for Computational Linguistics (ACL)Junyu Luo, Bohan Wu, Xiao Luo, et al.2025 · 14 citations
  63. Phi-3 Safety Post-Training: Aligning Language Models with a "Break-Fix" CyclearXiv:2407.13833Emman Haider, Daniel Perez-Becker, Thomas Portet, et al.2024 · 13 citations
  64. from Benign import Toxic: Jailbreaking the Language Model via Adversarial MetaphorsAnnual Meeting of the Association for Computational Linguistics (ACL)Yu Yan, Sheng Sun, Zenghao Duan, et al.2025 · 12 citations
  65. Feature Extraction and Steering for Enhanced Chain-of-Thought Reasoning in Language ModelsConference on Empirical Methods in Natural Language Processing (EMNLP)Zihao Li, Xu Wang, Yuzhe Yang, et al.2025 · 11 citations
  66. Multi-Attribute Steering of Language Models via Targeted InterventionAnnual Meeting of the Association for Computational Linguistics (ACL)Duy Nguyen, Archiki Prasad, Elias Stengel-Eskin, et al.2025 · 11 citations
  67. Pragmatic Inference Chain (PIC) Improving LLMs' Reasoning of Authentic Implicit Toxic LanguageConference on Empirical Methods in Natural Language Processing (EMNLP)Xi Chen, Shuo Wang2025 · 9 citations
  68. AraSafe: Benchmarking Safety in Arabic LLMsFindings of the Association for Computational LinguisticsHamdy Mubarak, Abubakr Mohamed, Majd Hawasly2025 · 6 citations
  69. GrAInS: Gradient-based Attribution for Inference-Time Steering of LLMs and VLMsAnnual Meeting of the Association for Computational Linguistics (ACL)Duy Nguyen, Archiki Prasad, Elias Stengel-Eskin, et al.2026 · 4 citations
  70. Spotlight Your Instructions: Instruction-following with Dynamic Attention SteeringConference of the European Chapter of the Association for Computational Linguistics (EACL)Praveen Venkateswaran, Danish Contractor2026 · 4 citations
  71. A Survey of Machine Learning Models and Datasets for the Multi-label Classification of Textual Hate Speech in EnglishACM Transactions on Knowledge Discovery from DataJulian Baumler, Louis Blocher, Lars-Joel Frey, et al.2025 · 4 citations
  72. Model Misalignment and Language Change: Traces of AI-Associated Language in Unscripted Spoken EnglishProceedings of the AAAI/ACM Conference on AI Ethics and SocietyBryce Anderson, Riley Galpin, Tom S. Juzek2025 · 4 citations
  73. GemmAr: Enhancing LLMs Through Arabic Instruction-TuningarXiv:2407.02147Hasna Chouikhi, Manel Aloui, Cyrine Ben Hammou, et al.2024 · 4 citations
  74. Toxic language detection: a systematic review of Arabic datasetsarXiv:2312.07228Imene Bensalem, Paolo Rosso, Hanane Zitouni2023 · 4 citations
  75. STReasoner: Empowering LLMs for Spatio-Temporal Reasoning in Time Series via Spatial-Aware Reinforcement LearningAnnual Meeting of the Association for Computational Linguistics (ACL)Juntong Ni, Shiyu Wang, Qi He, et al.2026 · 3 citations
  76. Trans-EnV: A Framework for Evaluating the Linguistic Robustness of LLMs Against English VarietiesConference on Neural Information Processing Systems (NeurIPS)Jiyoung Lee, Seungho Kim, Jieun Han, et al.2025 · 3 citations
  77. A Survey on Combating Hate Speech through Detection and Prevention in EnglishInternational Conference on Natural Language Processing (ICON)Prashant Kapil, Asif Ekbal2024 · 3 citations
  78. Argument-Based Consistency in Toxicity Explanations of LLMsFindings of the Association for Computational LinguisticsRamaravind Kommiya Mothilal, Joanna Roy, Syed Ishtiaque Ahmed, et al.2026 · 2 citations
  79. KZ-SafetyPrompts: A Kazakh Safety Evaluation Prompt Dataset for Large Language ModelsSIGUL Joint Workshop with ELE, EURALI, and DCLRL: Towards Inclusivity and Equality: Language Resources and Technologies for Under-Resourced and Endangered LanguagesWajdi Zaghouani, Shimaa Amer Ibrahim, Aruzhan Muratbek, et al.2026 · 2 citations
  80. Red-Bandit: Test-Time Adaptation for LLM Red-Teaming via Bandit-Guided LoRA ExpertsAnnual Meeting of the Association for Computational Linguistics (ACL)Christos Ziakas, Nicholas Loo, Nishita Jain, et al.2026 · 2 citations
  81. AlbanianLLMSafety: A Safety Evaluation Dataset for Large Language Models in AlbanianSIGUL Joint Workshop with ELE, EURALI, and DCLRL: Towards Inclusivity and Equality: Language Resources and Technologies for Under-Resourced and Endangered LanguagesWajdi Zaghouani, Kholoud Khalil Aldous, Isra Fejzullaj2026 · 1 citation
  82. Aligned Probing: Relating Toxic Behavior and Model InternalsTransactions of the Association for Computational Linguistics (TACL)Andreas Waldis, Vagrant Gautam, Anne Lauscher, et al.2026 · 1 citation
  83. ArabicDialectSafety: A Dialect-Aware Benchmark for Arabic Content Safety ClassificationarXiv:2608.01291 · EMNLP 2026 FindingsWajdi Zaghouani, Md. Rafiul Biswas, Kholoud Khalil Aldous, et al.2026 · 1 citation
  84. The Hrunting of AI: Where and How to Improve English Dialectal FairnessarXiv:2603.15187Wei Li, Adrian de Wynter2026 · 1 citation
  85. Safe at the Margins: A General Approach to Safety Alignment in Low-Resource English Languages — A Singlish Case StudyarXiv:2502.12485Isaac Lim, Shaun Khoo, Roy Ka-Wei Lee, et al.2025 · 1 citation
  86. A Layer-wise Analysis of Supervised Fine-TuningAnnual Meeting of the Association for Computational Linguistics (ACL)Qinghua Zhao, Xueling Gong, Xinyu Chen, et al.2026
  87. AnswerCarefully: Creating a Dataset for LLM Safety in JapaneseLanguage Resources and Evaluation Conference (LREC)Hisami Suzuki, Satoru Katsumata, Takashi Kodama, et al.2026
  88. Can LLMs Reason Like Doctors? Exploring the Limits of Large Language Models in Complex Medical ReasoningFindings of the Association for Computational LinguisticsFlavio Merenda, Jose Manuel Gomez-Perez, German Rigau2026
  89. CausalDetox: Causal Head Selection and Intervention for Language Model DetoxificationFindings of the Association for Computational LinguisticsYian Wang, Yuen Chen, Agam Goyal, et al.2026
  90. DART: Mitigating Harm Drift in Difference-Aware LLMs via Distill-Audit-Repair TrainingFindings of the Association for Computational LinguisticsZiwen Pan, Zihan Liang, Jad Kabbara, et al.2026
  91. Detoxification for LLM: From Dataset ItselfAnnual Meeting of the Association for Computational Linguistics (ACL)Wei Shao, Yihang Wang, Gao yu Zhu, et al.2026
  92. DIA-HARM: Dialectal Disparities in Harmful Content Detection Across 50 English DialectsAnnual Meeting of the Association for Computational Linguistics (ACL)Jason S Lucas, Matt Murtagh White, Ali Al-Lawati, et al.2026
  93. Evaluating LLMs for Detecting Demographic-Targeted Social Bias: A Comprehensive Benchmark StudyWorkshop of Identity Aware AIAyan Majumdar, Feihao Chen, Jinghui Li, et al.2026
  94. Evaluating the Usage of African-American Vernacular English in Large Language ModelsarXiv:2602.21485Deja Dunlap, R. Thomas McCoy2026
  95. Explainable AI for Ethical Counter Speech Generation in Hate Speech MitigationLanguage Resources and Evaluation Conference (LREC)Ashiful Islam Ridoy, Mohammed Faisal, Yogesh Kumar, et al.2026
  96. From Fake to Real: Mitigating Out-of-Distribution Bias in In-Context Learning via Feedback Supervision from Large Language ModelsFindings of the Association for Computational LinguisticsRui Song, Yingji Li, Jian Li, et al.2026
  97. HatePrototypes: Interpretable and Transferable Representations for Implicit and Explicit Hate Speech DetectionLanguage Resources and Evaluation Conference (LREC)Irina Proskurina, Marc-Antoine Carpentier, Julien Velcin2026
  98. Implicit Bias in Peer Review: Through the Lens of Language AbstractionLanguage Resources and Evaluation Conference (LREC)Xulang Zhang, Rui Mao, Erik Cambria2026
  99. IndicSteer: Inference-Time Safety Steering for Indic LLMsWorkshop on Stereotypes Across Cultures in Language TechnologiesRuhaib Muhammad, Saahas Vijayalakshmi Rajaram, Suriya Priyan Durairaj2026
  100. Individual and Combined Effects of English as a Second Language and Typos on LLM PerformancearXiv:2604.04723Serena Liu; Yutong Yang; Prisha Sheth; Weixuan Dong; Mingjiao Diao; Xinru Zhu; Nikhil Banga; Oscar Melendez; Arnav Sharma; Minda Zhao; Marina Lin;, Mengyu Wang2026

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