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Who cites Iason Gabriel

1,461 citations of their works from 1,278 papers of our library (of the 149,439 whose bibliographies we read) · 405 with a page here, the most cited first · page 4 of 5 · 301–400 · ← Iason Gabriel

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  1. AutoML-GPT: Automatic Machine Learning with GPTarXiv:2305.02499Shujian Zhang, Chengyue Gong, Lemeng Wu, et al.2023 · 52 citations
  2. On the application of Large Language Models for language teaching and assessment technologyarXiv:2307.08393Andrew Caines, Luca Benedetto, Shiva Taslimipoor, et al.2023 · 51 citations
  3. MiniMax-01: Scaling Foundation Models with Lightning AttentionarXiv:2501.08313MiniMax, Aonian Li, Bangwei Gong, et al.2025 · 50 citations
  4. IndicLLMSuite: A Blueprint for Creating Pre-training and Fine-Tuning Datasets for Indian LanguagesAnnual Meeting of the Association for Computational Linguistics (ACL)Mohammed Safi Ur Rahman Khan, Priyam Mehta, Ananth Sankar, et al.2024 · 48 citations
  5. NormAd: A Framework for Measuring the Cultural Adaptability of Large Language ModelsConference of the North American Chapter of the Association for Computational Linguistics (NAACL)Abhinav Rao, Akhila Yerukola, Vishwa Shah, et al.2025 · 46 citations
  6. ARGS: Alignment as Reward-Guided SearcharXiv:2402.01694Maxim Khanov, Jirayu Burapacheep, Yixuan Li2024 · 46 citations
  7. Language models scale reliably with over-training and on downstream tasksarXiv:2403.08540Samir Yitzhak Gadre, Georgios Smyrnis, Vaishaal Shankar, et al.2024 · 46 citations
  8. Scaling Laws with Vocabulary: Larger Models Deserve Larger VocabulariesarXiv:2407.13623Chaofan Tao, Qian Liu, Longxu Dou, et al.2024 · 46 citations
  9. AlGhafa Evaluation Benchmark for Arabic Language ModelsArabic Natural Language Processing Conference (ArabicNLP)Ebtesam Almazrouei, Ruxandra Cojocaru, Michele Baldo, et al.2023 · 46 citations
  10. EuroLLM-9B: Technical ReportarXiv:2506.04079Pedro Henrique Martins, Joao Alves, Patrick Fernandes, et al.2025 · 45 citations
  11. Contrastive Chain-of-Thought PromptingarXiv:2311.09277Yew Ken Chia, Guizhen Chen, Luu Anh Tuan, et al.2023 · 45 citations
  12. Lost in Translation: Large Language Models in Non-English Content AnalysisarXiv:2306.07377Gabriel Nicholas, Aliya Bhatia2023 · 45 citations
  13. HyperCLOVA X Technical ReportarXiv:2404.01954Kang Min Yoo, Jaegeun Han, Sookyo In, et al.2024 · 44 citations
  14. Paloma: A Benchmark for Evaluating Language Model FitConference on Neural Information Processing Systems (NeurIPS)Ian Magnusson, Akshita Bhagia, Valentin Hofmann, et al.2023 · 42 citations
  15. 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
  16. When does In-context Learning Fall Short and Why? A Study on Specification-Heavy TasksarXiv:2311.08993Hao Peng, Xiaozhi Wang, Jianhui Chen, et al.2023 · 42 citations
  17. Transcending Scaling Laws with 0.1% Extra ComputearXiv:2210.11399Yi Tay, Jason Wei, Hyung Won Chung, et al.2022 · 42 citations
  18. DeepSeek: Paradigm Shifts and Technical Evolution in Large AI ModelsarXiv:2507.09955Luolin Xiong, Haofen Wang, Xi Chen, et al.2025 · 41 citations
  19. MoCa: Measuring Human-Language Model Alignment on Causal and Moral Judgment TasksConference on Neural Information Processing Systems (NeurIPS)Allen Nie, Yuhui Zhang, Atharva Amdekar, et al.2023 · 41 citations
  20. The MiniPile Challenge for Data-Efficient Language ModelsarXiv:2304.08442Jean Kaddour2023 · 41 citations
  21. PanGu-{\Sigma}: Towards Trillion Parameter Language Model with Sparse Heterogeneous ComputingarXiv:2303.10845Xiaozhe Ren, Pingyi Zhou, Xinfan Meng, et al.2023 · 40 citations
  22. Aligning Language Models with Preferences through f-divergence MinimizationarXiv:2302.08215Dongyoung Go, Tomasz Korbak, German Kruszewski, et al.2023 · 39 citations
  23. Introducing v0.5 of the AI Safety Benchmark from MLCommonsarXiv:2404.12241Bertie Vidgen, Adarsh Agrawal, Ahmed M. Ahmed, et al.2024 · 38 citations
  24. JASMINE: Arabic GPT Models for Few-Shot LearningConference on Empirical Methods in Natural Language Processing (EMNLP)El Moatez Billah Nagoudi, Muhammad Abdul-Mageed, AbdelRahim Elmadany, et al.2023 · 38 citations
  25. SlimPajama-DC: Understanding Data Combinations for LLM TrainingarXiv:2309.10818Zhiqiang Shen, Tianhua Tao, Liqun Ma, et al.2023 · 38 citations
  26. Checklists Are Better Than Reward Models For Aligning Language ModelsConference on Neural Information Processing Systems (NeurIPS)Vijay Viswanathan, Yanchao Sun, Shuang Ma, et al.2025 · 37 citations
  27. Through the Lens of Core Competency: Survey on Evaluation of Large Language ModelsarXiv:2308.07902Ziyu Zhuang, Qiguang Chen, Longxuan Ma, et al.2023 · 35 citations
  28. M3KE: A Massive Multi-Level Multi-Subject Knowledge Evaluation Benchmark for Chinese Large Language ModelsarXiv:2305.10263Chuang Liu, Renren Jin, Yuqi Ren, et al.2023 · 34 citations
  29. TransNormerLLM: A Faster and Better Large Language Model with Improved TransNormerarXiv:2307.14995Zhen Qin, Dong Li, Weigao Sun, et al.2023 · 33 citations
  30. A Survey of Small Language ModelsarXiv:2410.20011Chien Van Nguyen, Xuan Shen, Ryan Aponte, et al.2024 · 31 citations
  31. Scaling Laws and Compute-Optimal Training Beyond Fixed Training DurationsConference on Neural Information Processing Systems (NeurIPS)Alexander Hägele, Elie Bakouch, Atli Kosson, et al.2024 · 31 citations
  32. Nemotron-4 15B Technical ReportarXiv:2402.16819Jupinder Parmar, Shrimai Prabhumoye, Joseph Jennings, et al.2024 · 30 citations
  33. A Holistic Assessment of the Carbon Footprint of Noor, a Very Large Arabic Language ModelBigScience Episode – Workshop on Challenges & Perspectives in Creating Large Language ModelsImad Lakim, Ebtesam Almazrouei, Ibrahim Abualhaol, et al.2022 · 30 citations
  34. Binary Classifier Optimization for Large Language Model AlignmentAnnual Meeting of the Association for Computational Linguistics (ACL)Seungjae Jung, Gunsoo Han, Daniel Wontae Nam, et al.2025 · 26 citations
  35. Chinese Tiny LLM: Pretraining a Chinese-Centric Large Language ModelarXiv:2404.04167Xinrun Du; Zhouliang Yu; Songyang Gao; Ding Pan; Yuyang Cheng; Ziyang Ma; Ruibin Yuan; Xingwei Qu; Jiaheng Liu; Tianyu Zheng; Xinchen Luo; Guorui Zhou; Wenhu Chen;, Ge Zhang2024 · 23 citations
  36. InstructAlign: High-and-Low Resource Language Alignment via Continual Crosslingual Instruction TuningarXiv:2305.13627Samuel Cahyawijaya, Holy Lovenia, Tiezheng Yu, et al.2023 · 22 citations
  37. Intention Analysis Makes LLMs A Good Jailbreak DefenderInternational Conference on Computational Linguistics (COLING)Yuqi Zhang, Liang Ding, Lefei Zhang, et al.2025 · 21 citations
  38. Astraios: Parameter-Efficient Instruction Tuning Code Large Language ModelsarXiv:2401.00788Terry Yue Zhuo, Armel Zebaze, Nitchakarn Suppattarachai, et al.2024 · 21 citations
  39. Humans Learn Language from Situated Communicative Interactions. What about Machines?Computational LinguisticsKatrien Beuls, Paul Van Eecke2024 · 21 citations
  40. AraMUS: Pushing the Limits of Data and Model Scale for Arabic Natural Language ProcessingFindings of the Association for Computational LinguisticsAsaad Alghamdi, Xinyu Duan, Wei Jiang, et al.2023 · 21 citations
  41. DADA: Dialect Adaptation via Dynamic Aggregation of Linguistic RulesYanchen Liu, William Held, Diyi Yang2023 · 20 citations
  42. Resolving Discrepancies in Compute-Optimal Scaling of Language ModelsConference on Neural Information Processing Systems (NeurIPS)Tomer Porian, Mitchell Wortsman, Jenia Jitsev, et al.2024 · 19 citations
  43. Revisiting Jailbreaking for Large Language Models: A Representation Engineering PerspectiveInternational Conference on Computational Linguistics (COLING)Tianlong Li, Zhenghua Wang, Wenhao Liu, et al.2025 · 17 citations
  44. AAVENUE: Detecting LLM Biases on NLU Tasks in AAVE via a Novel BenchmarkWorkshop on NLP for Positive ImpactAbhay Gupta, Ece Yurtseven, Philip Meng, et al.2024 · 17 citations
  45. ChatGLM-RLHF: Practices of Aligning Large Language Models with Human FeedbackarXiv:2404.00934Zhenyu Hou, Yilin Niu, Zhengxiao Du, et al.2024 · 17 citations
  46. Towards Data Contamination Detection for Modern Large Language Models: Limitations, Inconsistencies, and Oracle ChallengesInternational Conference on Computational Linguistics (COLING)Vinay Samuel, Yue Zhou, Henry Peng Zou2025 · 16 citations
  47. AboutMe: Using Self-Descriptions in Webpages to Document the Effects of English Pretraining Data FiltersAnnual Meeting of the Association for Computational Linguistics (ACL)Li Lucy, Suchin Gururangan, Luca Soldaini, et al.2024 · 15 citations
  48. DiPlomat: A Dialogue Dataset for Situated Pragmatic ReasoningConference on Neural Information Processing Systems (NeurIPS)Hengli Li, Song-Chun Zhu, Zilong Zheng2023 · 15 citations
  49. Alignment for Efficient Tool Calling of Large Language ModelsConference on Empirical Methods in Natural Language Processing (EMNLP)Hongshen Xu, Zihan Wang, Zichen Zhu, et al.2025 · 13 citations
  50. Chatting with Bots: AI, Speech Acts, and the Edge of AssertionInquiry (2024)Iwan Williams, Tim Bayne2024 · 12 citations
  51. Aligning Large Language Models with Human Opinions through Persona Selection and Value — Belief — Norm ReasoningarXiv:2311.08385Do Xuan Long, Kenji Kawaguchi, Min-Yen Kan, et al.2023 · 12 citations
  52. Towards Ontology Construction with Language ModelsarXiv:2309.09898Maurice Funk, Simon Hosemann, Jean Christoph Jung, et al.2023 · 12 citations
  53. The Trickle-down Impact of Reward (In-)consistency on RLHFarXiv:2309.16155Lingfeng Shen, Sihao Chen, Linfeng Song, et al.2023 · 11 citations
  54. TL;DR: Too Long, Do Re-weighting for Efficient LLM Reasoning CompressionarXiv:2506.02678Zhong-Zhi Li, Xiao Liang, Zihao Tang, et al.2025 · 8 citations
  55. Scaling Smart: Accelerating Large Language Model Pre-training with Small Model InitializationarXiv:2409.12903Mohammad Samragh, Iman Mirzadeh, Keivan Alizadeh Vahid, et al.2024 · 8 citations
  56. How Good is Your Wikipedia? Auditing Data Quality for Low-resource and Multilingual NLPAnnual Meeting of the Association for Computational Linguistics (ACL)Kushal Tatariya, Artur Kulmizev, Wessel Poelman, et al.2026 · 6 citations
  57. Arabic Stable LM: Adapting Stable LM 2 1.6B to ArabicarXiv:2412.04277Zaid Alyafeai, Michael Pieler, Hannah Teufel, et al.2024 · 6 citations
  58. VisAidMath: Benchmarking Visual-Aided Mathematical ReasoningAnnual Meeting of the Association for Computational Linguistics (ACL)Jingkun Ma, Runzhe Zhan, Yang Li, et al.2026 · 5 citations
  59. WanJuan-CC: A Safe and High-Quality Open-sourced English Webtext DatasetarXiv:2402.19282Jiantao Qiu, Haijun Lv, Zhenjiang Jin, et al.2024 · 5 citations
  60. Aleph-Alpha-GermanWeb: Improving German-language LLM pre-training with model-based data curation and synthetic data generationConference of the European Chapter of the Association for Computational Linguistics (EACL)Thomas F Burns, Letitia Parcalabescu, Stephan Waeldchen, et al.2026 · 4 citations
  61. Are BabyLMs Deaf to Gricean Maxims? A Pragmatic Evaluation of Sample-efficient Language ModelsBabyLM WorkshopRaha Askari, Sina Zarrieß, Özge Alacam, et al.2025 · 4 citations
  62. Jailbreaking Attacks vs. Content Safety Filters: How Far Are We in the LLM Safety Arms Race?Findings of the Association for Computational LinguisticsYuan Xin, Dingfan Chen, Linyi Yang, et al.2026 · 3 citations
  63. Unraveling LLM Jailbreaks Through Safety Knowledge NeuronsConference of the European Chapter of the Association for Computational Linguistics (EACL)Chongwen Zhao, Yutong Ke, Kaizhu Huang2026 · 3 citations
  64. The German Commons - 154 Billion Tokens of Openly Licensed Text for German Language ModelsarXiv:2510.13996Lukas Gienapp, Christopher Schroder, Stefan Schweter, et al.2025 · 2 citations
  65. Uncovering More Shallow Heuristics: Probing the Natural Language Inference Capacities of Transformer-Based Pre-Trained Language Models Using Syllogistic PatternsarXiv:2201.07614Reto Gubelmann, Siegfried Handschuh2022 · 2 citations
  66. 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
  67. AMALIA: A Fully Open Large Language Model for European PortugueseInternational Conference on Computational Processing of PortugueseAfonso Simplício, Gonçalo Vinagre, Miguel Moura Ramos, et al.2026 · 1 citation
  68. From Curated Data to Scalable Models: Continual Pre-training of Dense and MoE Large Language Models for TibetanAnnual Meeting of the Association for Computational Linguistics (ACL)Lei Yang, Leiyu Pan, Bojian Xiong, et al.2026 · 1 citation
  69. Less Is More? The Role of Demographic Author Information in Emotion Classification of Ambiguous TextLanguage Resources and Evaluation Conference (LREC)Sabine Weber, Lynn Greschner, Roman Klinger2026 · 1 citation
  70. Position: From Noise to Signal to Selbstzweck - Reframing Human Label Variation in the Era of Post-training in NLPFindings of the Association for Computational LinguisticsShanshan Xu, Santosh T.Y.S.S, Barbara Plank2026 · 1 citation
  71. Unleashing the Unseen: Harnessing Benign Datasets for Jailbreaking Large Language ModelsFindings of the Association for Computational LinguisticsWei Zhao, Zhe Li, Yige Li, et al.2026 · 1 citation
  72. When Do Language Models Endorse Limitations on Human Rights Principles?Findings of the Association for Computational LinguisticsKeenan Samway, Miu Nicole Takagi, Rada Mihalcea, et al.2026 · 1 citation
  73. ArabicWeb-Edu: Educational Quality Data for Arabic LLM TrainingArabic Natural Language Processing Conference (ArabicNLP)Majd Hawasly, Tasnim Mohiuddin, Hamdy Mubarak, et al.2025 · 1 citation
  74. Mix, MinHash, and Match: Cross-Source Agreement for Multilingual Pretraining DatasetsarXiv:2512.18834Sultan Alrashed, Francesco Orabona2025 · 1 citation
  75. A Survey of Reinforcement Learning for Large Language Models under Data Scarcity: Challenges and SolutionsAnnual Meeting of the Association for Computational Linguistics (ACL)Zhiyin Yu, Yuchen Mou, Juncheng Yan, et al.2026
  76. AI Safety Lost in Translation: Evaluating the Effectiveness of English-Italian Cross-Lingual LLM Safety AlignmentLanguage Resources and Evaluation Conference (LREC)Alessio Wu, Martim Brandao2026
  77. CodeGuard: Improving LLM Guardrails in CS EducationFindings of the Association for Computational LinguisticsNishat Raihan, Noah Erdachew, Jayoti Devi, et al.2026
  78. Do Language Models Think Consistently? A Study of Value Preferences Across Varying Response LengthsFindings of the Association for Computational LinguisticsInderjeet Jayakumar Nair, Lu Wang2026
  79. DRInQ: Evaluating Conversational Implicature with Controlled Context VariationAnnual Meeting of the Association for Computational Linguistics (ACL)Hirona Jacqueline Arai, Xiang Ren2026
  80. From Narrow Unlearning to Emergent Misalignment in LLMsAnnual Meeting of the Association for Computational Linguistics (ACL)Erum Mushtaq, Anil Ramakrishna, Satyapriya Krishna, et al.2026
  81. Grammar Search for Multi-Agent SystemsAnnual Meeting of the Association for Computational Linguistics (ACL)Mayank Singh, Vikas Yadav, Shiva Krishna Reddy Malay, et al.2026
  82. HEBATRON: A Hebrew-Specialized Open-Weight Mixture-of-Experts Language ModelNoam Kayzer, Dan Revital, Ori Bar Joseph, et al.2026
  83. How Far Can Bias Go? Tracing Bias from Pre-Training Data to AlignmentLanguage Resources and Evaluation Conference (LREC)Marion Thaler, Abdullatif Köksal, Alina Leidinger, et al.2026
  84. HSS-Synth: Humanities and Social Sciences Data Synthesis for LLMsFindings of the Association for Computational LinguisticsRu Peng, Tianyu Zhao, Xijun Gu, et al.2026
  85. MaskTab: Scalable Masked Tabular Pretraining with Scaling Laws and Distillation for Industrial ClassificationFindings of the Association for Computational LinguisticsBo Zheng, Yudong Chen, Zihua Xiong, et al.2026
  86. Merge and Conquer: Instructing Multilingual Models by Adding Target Language WeightsLanguage Resources and Evaluation Conference (LREC)Eneko Valero, Maria Ribalta i Albado, Oscar Sainz, et al.2026
  87. MERIT Feedback Elicits Better Bargaining in LLM NegotiatorsAnnual Meeting of the Association for Computational Linguistics (ACL)Jihwan Oh, Murad Aghazada, Yooju Shin, et al.2026
  88. MUTANT: A Recipe for Multilingual Tokenizer DesignAnnual Meeting of the Association for Computational Linguistics (ACL)Souvik Rana, Ashish Kulkarni, Arul Menezes, et al.2026
  89. MzansiText and MzansiLM: An Open Corpus and Decoder-Only Language Model for South African LanguagesLanguage Resources and Evaluation Conference (LREC)Anri M. Lombard, Simbarashe Mawere, Temi Aina, et al.2026
  90. Reference Attack: A New Cross-Modal Jailbreaking Attack against Multimodal Large Language ModelsAnnual Meeting of the Association for Computational Linguistics (ACL)Yulong Wang, Yifei Fu, Jiayi Gao2026
  91. Rendering Data Unlearnable by Exploiting LLM Alignment MechanismsAnnual Meeting of the Association for Computational Linguistics (ACL)Ruihan Zhang, Jun Sun2026
  92. Repetition over Diversity: High-Signal Data Filtering for Sample-Efficient German Language ModelingarXiv:2604.28075Ansar Aynetdinov, Patrick Haller, Alan Akbik2026
  93. SalamahBench: Dialect and Category Level Safety Evaluation of Arabic Language ModelsarXiv:2603.04410Omar Abdelnasser, Fatemah Alharbi, Khaled Khasawneh, et al.2026
  94. SEA-SafeguardBench: Culturally Grounded Safety Benchmark for Southeast Asian LanguagesFindings of the Association for Computational LinguisticsPanuthep Tasawong, Jian Gang Ngui, Alham Fikri Aji, et al.2026
  95. SELECting over Tokens: Curating Pre-training Data at Scale via Token ClassificationAnnual Meeting of the Association for Computational Linguistics (ACL)Xin Tong, Weidong Zhang, Jiaang Li, et al.2026
  96. Taken into consideration: evaluating esteem biases by race, gender and region in large language models in Brazilian Portuguese (Levados em Consideração: Uma Avaliação de Vieses de Estima por Raça, Gênero e Região em Grandes Modelos de Linguagem em Português Brasileiro)International Conference on Computational Processing of PortugueseJoão Lucas Lima de Melo, Marlo Souza2026
  97. The Validity of Coreference-based Evaluations of Natural Language UnderstandingarXiv:2602.16200Ian Porada2026
  98. Toward Consistent World Models with Multi-Token Prediction and Latent Semantic EnhancementAnnual Meeting of the Association for Computational Linguistics (ACL)Qimin Zhong, Hao Liao, Haiming Qin, et al.2026
  99. Toward Dialect-Aware Safety Evaluation for Arabic Large Language ModelsWorkshop on Trustworthy NLPWajdi Zaghouani2026
  100. When Efficiency Meets Safety: A Benchmark Security Analysis of KV Cache Compression in Large Language ModelsAnnual Meeting of the Association for Computational Linguistics (ACL)Xiaoxiao Ma, Kuofeng Gao, Zeyi Lu, et al.2026

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