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Who cites Marzieh Fadaee

1,562 citations of their works from 1,245 papers of our library (of the 149,439 whose bibliographies we read) · 311 with a page here, the most cited first · page 1 of 4 · 1–100 · ← Marzieh Fadaee

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  1. Pre-train, Prompt, and Predict: A Systematic Survey of Prompting Methods in Natural Language ProcessingACM Computing SurveysPengfei Liu, Weizhe Yuan, Jinlan Fu, et al.2021 · 5,423 citations
  2. Qwen3 Technical ReportarXiv:2505.09388An Yang, Anfeng Li, Baosong Yang, et al.2025 · 3,382 citations
  3. LlamaFactory: Unified Efficient Fine-Tuning of 100+ Language ModelsAnnual Meeting of the Association for Computational Linguistics (ACL)Yaowei Zheng, Richong Zhang, Junhao Zhang, et al.2024 · 1,048 citations
  4. Gemini 2.5: Pushing the Frontier with Advanced Reasoning, Multimodality, Long Context, and Next Generation Agentic CapabilitiesarXiv:2507.06261Gheorghe Comanici, Eric Bieber, Mike Schaekermann, et al.2025 · 974 citations
  5. A Survey of Data Augmentation Approaches for NLParXiv:2105.03075Steven Y. Feng, Varun Gangal, Jason Wei, et al.2021 · 940 citations
  6. Contextual Augmentation: Data Augmentation by Words with Paradigmatic RelationsConference of the North American Chapter of the Association for Computational Linguistics (NAACL)Sosuke Kobayashi2018 · 810 citations
  7. EDA: Easy Data Augmentation Techniques for Boosting Performance on Text Classification TasksarXiv:1901.11196Jason Wei, Kai Zou2019 · 761 citations
  8. Is ChatGPT Good at Search? Investigating Large Language Models as Re-Ranking AgentsConference on Empirical Methods in Natural Language Processing (EMNLP)Weiwei Sun, Lingyong Yan, Xinyu Ma, et al.2023 · 496 citations
  9. Kimi k1.5: Scaling Reinforcement Learning with LLMsarXiv:2501.12599Kimi Team, Angang Du, Bofei Gao, et al.2025 · 431 citations
  10. Tulu 3: Pushing Frontiers in Open Language Model Post-TrainingarXiv:2411.15124Nathan Lambert, Jacob Morrison, Valentina Pyatkin, et al.2024 · 423 citations
  11. A Survey on Recent Approaches for Natural Language Processing in Low-Resource ScenariosConference of the North American Chapter of the Association for Computational Linguistics (NAACL)Michael A. Hedderich, Lukas Lange, Heike Adel, et al.2021 · 401 citations
  12. BPE-Dropout: Simple and Effective Subword RegularizationAnnual Meeting of the Association for Computational Linguistics (ACL)Ivan Provilkov, Dmitrii Emelianenko, Elena Voita2020 · 391 citations
  13. Qwen3-VL Technical ReportarXiv:2511.21631Shuai Bai, Yuxuan Cai, Ruizhe Chen, et al.2025 · 370 citations
  14. Large Language Models for Information Retrieval: A SurveyACM Transactions on Information SystemsYutao Zhu; Huaying Yuan; Shuting Wang; Jiongnan Liu; Wenhan Liu; Chenlong Deng; Haonan Chen; Zheng Liu; Zhicheng Dou;, Ji-Rong Wen2023 · 339 citations
  15. Robust Neural Machine Translation with Doubly Adversarial InputsAnnual Meeting of the Association for Computational Linguistics (ACL)Yong Cheng, Lu Jiang, Wolfgang Macherey2019 · 325 citations
  16. Search-R1: Training LLMs to Reason and Leverage Search Engines with Reinforcement LearningarXiv:2503.09516Bowen Jin, Hansi Zeng, Zhenrui Yue, et al.2025 · 322 citations
  17. PromptRobust: Towards Evaluating the Robustness of Large Language Models on Adversarial PromptsarXiv:2306.04528Kaijie Zhu, Jindong Wang, Jiaheng Zhou, et al.2023 · 305 citations
  18. SwitchOut: an Efficient Data Augmentation Algorithm for Neural Machine TranslationConference on Empirical Methods in Natural Language Processing (EMNLP)Xinyi Wang, Hieu Pham, Zihang Dai, et al.2018 · 290 citations
  19. Understanding R1-Zero-Like Training: A Critical PerspectivearXiv:2503.20783Zichen Liu, Changyu Chen, Wenjun Li, et al.2025 · 286 citations
  20. Having Beer after Prayer? Measuring Cultural Bias in Large Language ModelsAnnual Meeting of the Association for Computational Linguistics (ACL)Tarek Naous, Michael J. Ryan, Alan Ritter, et al.2023 · 273 citations
  21. GPT3Mix: Leveraging Large-scale Language Models for Text AugmentationFindings of the Association for Computational LinguisticsKang Min Yoo, Dongju Park, Jaewook Kang, et al.2021 · 270 citations
  22. An Analysis of Simple Data Augmentation for Named Entity RecognitionInternational Conference on Computational Linguistics (COLING)Xiang Dai, Heike Adel2020 · 266 citations
  23. An Empirical Survey of Data Augmentation for Limited Data Learning in NLPTransactions of the Association for Computational Linguistics (TACL)Jiaao Chen, Derek Tam, Colin Raffel, et al.2023 · 254 citations
  24. Aya Model: An Instruction Finetuned Open-Access Multilingual Language ModelarXiv:2402.07827Ahmet Üstün, Viraat Aryabumi, Zheng-Xin Yong, et al.2024 · 253 citations
  25. Survey of Low-Resource Machine TranslationComputational LinguisticsBarry Haddow, Rachel Bawden, Antonio Valerio Miceli Barone, et al.2022 · 251 citations
  26. Does Reinforcement Learning Really Incentivize Reasoning Capacity in LLMs Beyond the Base Model?arXiv:2504.13837 · NeurIPS 2025 Oral; ICML 2025 AI4MATH workshop best paperYang Yue, Zhiqi Chen, Rui Lu, et al.2025 · 216 citations
  27. DAGA: Data Augmentation with a Generation Approach for Low-resource Tagging TasksConference on Empirical Methods in Natural Language Processing (EMNLP)Bosheng Ding, Linlin Liu, Lidong Bing, et al.2020 · 203 citations
  28. Improved Lexically Constrained Decoding for Translation and Monolingual RewritingConference of the North American Chapter of the Association for Computational Linguistics (NAACL)J. Edward Hu, Huda Khayrallah, Ryan Culkin, et al.2019 · 199 citations
  29. Generative Data Augmentation for Commonsense ReasoningFindings of the Association for Computational LinguisticsYiben Yang, Chaitanya Malaviya, Jared Fernandez, et al.2020 · 198 citations
  30. DataComp-LM: In search of the next generation of training sets for language modelsConference on Neural Information Processing Systems (NeurIPS)Jeffrey Li, Alex Fang, Georgios Smyrnis, et al.2024 · 191 citations
  31. SGPT: GPT Sentence Embeddings for Semantic SearcharXiv:2202.08904Niklas Muennighoff2022 · 189 citations
  32. On the Impact of Various Types of Noise on Neural Machine TranslationWorkshop on Neural Machine Translation and GenerationHuda Khayrallah, Philipp Koehn2018 · 188 citations
  33. Aya Expanse: Combining Research Breakthroughs for a New Multilingual FrontierarXiv:2412.04261John Dang, Shivalika Singh, Daniel D'souza, et al.2024 · 184 citations
  34. Global MMLU: Understanding and Addressing Cultural and Linguistic Biases in Multilingual EvaluationAnnual Meeting of the Association for Computational Linguistics (ACL)Shivalika Singh, Angelika Romanou, Clémentine Fourrier, et al.2025 · 182 citations
  35. Aya 23: Open Weight Releases to Further Multilingual ProgressarXiv:2405.15032Viraat Aryabumi, John Dang, Dwarak Talupuru, et al.2024 · 172 citations
  36. Generative Representational Instruction TuningarXiv:2402.09906Niklas Muennighoff, Hongjin Su, Liang Wang, et al.2024 · 172 citations
  37. Soft Contextual Data Augmentation for Neural Machine TranslationAnnual Meeting of the Association for Computational Linguistics (ACL)Fei Gao, Jinhua Zhu, Lijun Wu, et al.2019 · 172 citations
  38. Data Augmentation via Dependency Tree Morphing for Low-Resource LanguagesConference on Empirical Methods in Natural Language Processing (EMNLP)Gözde Gül Şahin, Mark Steedman2018 · 171 citations
  39. Training Language Models to Self-Correct via Reinforcement LearningarXiv:2409.12917Aviral Kumar, Vincent Zhuang, Rishabh Agarwal, et al.2024 · 159 citations
  40. BLEnD: A Benchmark for LLMs on Everyday Knowledge in Diverse Cultures and LanguagesConference on Neural Information Processing Systems (NeurIPS)Junho Myung, Nayeon Lee, Yi Zhou, et al.2024 · 152 citations
  41. Process Reinforcement through Implicit RewardsarXiv:2502.01456Ganqu Cui, Lifan Yuan, Zefan Wang, et al.2025 · 151 citations
  42. 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
  43. EuroLLM: Multilingual Language Models for EuropearXiv:2409.16235Pedro Henrique Martins, Patrick Fernandes, Joao Alves, et al.2024 · 133 citations
  44. Olmo 3arXiv:2512.13961Team Olmo: Allyson Ettinger, Amanda Bertsch, Bailey Kuehl, et al.2025 · 130 citations
  45. Cognitive Behaviors that Enable Self-Improving Reasoners, or, Four Habits of Highly Effective STaRsarXiv:2503.01307Kanishk Gandhi, Ayush Chakravarthy, Anikait Singh, et al.2025 · 123 citations
  46. Data Augmentation for Morphological ReinflectionConference on Computational Natural Language Learning (CoNLL)Miikka Silfverberg, Adam Wiemerslage, Ling Liu, et al.2017 · 122 citations
  47. Survey of Cultural Awareness in Language Models: Text and BeyondComputational LinguisticsSiddhesh Pawar, Junyeong Park, Jiho Jin, et al.2025 · 106 citations
  48. MMTEB: Massive Multilingual Text Embedding BenchmarkarXiv:2502.13595Kenneth Enevoldsen, Isaac Chung, Imene Kerboua, et al.2025 · 103 citations
  49. Dynamic Data Selection for Neural Machine TranslationConference on Empirical Methods in Natural Language Processing (EMNLP)Marlies van der Wees, Arianna Bisazza, Christof Monz2017 · 96 citations
  50. A Survey on Data Selection for Language ModelsarXiv:2402.16827Alon Albalak, Yanai Elazar, Sang Michael Xie, et al.2024 · 95 citations
  51. Having Beer after Prayer? Measuring Cultural Bias in Large Language ModelsAnnual Meeting of the Association for Computational Linguistics (ACL)Tarek Naous, Michael J Ryan, Alan Ritter, et al.2024 · 95 citations
  52. Culturally Aware and Adapted NLP: A Taxonomy and a Survey of the State of the ArtTransactions of the Association for Computational Linguistics (TACL)Chen Cecilia Liu, Iryna Gurevych, Anna Korhonen2025 · 90 citations
  53. NL-Augmenter: A Framework for Task-Sensitive Natural Language AugmentationNorthern European Journal of Language TechnologyKaustubh Dhole, Varun Gangal, Sebastian Gehrmann, et al.2023 · 86 citations
  54. WMT24++: Expanding the Language Coverage of WMT24 to 55 Languages & DialectsFindings of the Association for Computational LinguisticsDaniel Deutsch, Eleftheria Briakou, Isaac Rayburn Caswell, et al.2025 · 80 citations
  55. Llama-Nemotron: Efficient Reasoning ModelsarXiv:2505.00949Akhiad Bercovich, Itay Levy, Izik Golan, et al.2025 · 76 citations
  56. MMLU-ProX: A Multilingual Benchmark for Advanced Large Language Model EvaluationConference on Empirical Methods in Natural Language Processing (EMNLP)Weihao Xuan, Rui Yang, Heli Qi, et al.2025 · 75 citations
  57. Gecko: Versatile Text Embeddings Distilled from Large Language ModelsarXiv:2403.20327Jinhyuk Lee, Zhuyun Dai, Xiaoqi Ren, et al.2024 · 74 citations
  58. INCLUDE: Evaluating Multilingual Language Understanding with Regional KnowledgearXiv:2411.19799Angelika Romanou, Negar Foroutan, Anna Sotnikova, et al.2024 · 74 citations
  59. Seed-TTS: A Family of High-Quality Versatile Speech Generation ModelsarXiv:2406.02430Philip Anastassiou, Jiawei Chen, Jitong Chen, et al.2024 · 71 citations
  60. IrokoBench: A New Benchmark for African Languages in the Age of Large Language ModelsConference of the North American Chapter of the Association for Computational Linguistics (NAACL)David Ifeoluwa Adelani, Jessica Ojo, Israel Abebe Azime, et al.2025 · 70 citations
  61. Apertus: Democratizing Open and Compliant LLMs for Global Language EnvironmentsAnnual Meeting of the Association for Computational Linguistics (ACL)Alejandro Hernández-Cano, Alexander Hägele, Allen Hao Huang, et al.2026 · 68 citations
  62. AraDiCE: Benchmarks for Dialectal and Cultural Capabilities in LLMsInternational Conference on Computational Linguistics (COLING)Basel Mousi, Nadir Durrani, Fatema Ahmad, et al.2025 · 68 citations
  63. MiMo-V2-Flash Technical ReportarXiv:2601.02780Xiaomi LLM-Core Team; Bangjun Xiao; Bingquan Xia; Bo Yang; Bofei Gao; Bowen Shen; Chen Zhang; Chenhong He; Chiheng Lou; Fuli Luo; Gang Wang; Gang Xie; Hailin Zhang; Hanglong Lv; Hanyu Li; Heyu Chen; Hongshen Xu; Houbin Zhang; Huaqiu Liu; Jiangshan Duo; Jianyu Wei; Jiebao Xiao; Jinhao Dong; Jun Shi; Junhao Hu; Kainan Bao; Kang Zhou; Lei Li; Liang Zhao; Linghao Zhang; Peidian Li; Qianli Chen; Shaohui Liu; Shihua Yu; Shijie Cao; Shimao Chen; Shouqiu Yu; Shuo Liu; Tianling Zhou; Weijiang Su; Weikun Wang; Wenhan Ma; Xiangwei Deng; Bohan Mao; Bowen Ye; Can Cai; Chenghua Wang; Chengxuan Zhu; Chong Ma; Chun Chen; Chunan Li; Dawei Zhu; Deshan Xiao; Dong Zhang; Duo Zhang; Fangyue Liu; Feiyu Yang; Fengyuan Shi; Guoan Wang; Hao Tian; Hao Wu; Heng Qu; Hongfei Yi; Hongxu An; Hongyi Guan; Xing Zhang; Yifan Song; Yihan Yan; Yihao Zhao; Yingchun Lai; Yizhao Gao; Yu Cheng; Yuanyuan Tian; Yudong Wang; Zhen Tang; Zhengju Tang; Zhengtao Wen; Zhichao Song; Zhixian Zheng; Zihan Jiang; Jian Wen; Jiarui Sun; Jiawei Li; Jinlong Xue; Jun Xia; Kai Fang; Menghang Zhu; Nuo Chen; Qian Tu; Qihao Zhang; Qiying Wang; Rang Li; Rui Ma; Shaolei Zhang; Shengfan Wang; Shicheng Li; Shuhao Gu; Shuhuai Ren; Sirui Deng; Tao Guo; Tianyang Lu; Weiji Zhuang; Weikang Zhang; Weimin Xiong; Wenshan Huang; Wenyu Yang; Xin Zhang; Xing Yong; Xu Wang; Xueyang Xie; Yilin Jiang; Yixin Yang; Yongzhe He; Yu Tu; Yuanliang Dong; Yuchen Liu; Yue Ma; Yue Yu; Yuxing Xiang; Zhaojun Huang; Zhenru Lin; Zhipeng Xu; Zhiyang Chen; Zhonghua Deng; Zihan Zhang;, Zihao Yue2026 · 60 citations
  64. Understanding and Mitigating Language Confusion in LLMsConference on Empirical Methods in Natural Language Processing (EMNLP)Kelly Marchisio, Wei-Yin Ko, Alexandre Berard, et al.2024 · 57 citations
  65. Democratizing LLMs for Low-Resource Languages by Leveraging their English Dominant Abilities with Linguistically-Diverse PromptsAnnual Meeting of the Association for Computational Linguistics (ACL)Xuan-Phi Nguyen, Mahani Aljunied, Shafiq Joty, et al.2024 · 55 citations
  66. SEACrowd: A Multilingual Multimodal Data Hub and Benchmark Suite for Southeast Asian LanguagesConference on Empirical Methods in Natural Language Processing (EMNLP)Holy Lovenia, Rahmad Mahendra, Salsabil Maulana Akbar, et al.2024 · 54 citations
  67. Evaluating the Capabilities of Large Language Models for Multi-label Emotion UnderstandingInternational Conference on Computational Linguistics (COLING)Tadesse Destaw Belay, Israel Abebe Azime, Abinew Ali Ayele, et al.2025 · 52 citations
  68. 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
  69. The Multilingual Alignment Prism: Aligning Global and Local Preferences to Reduce HarmConference on Empirical Methods in Natural Language Processing (EMNLP)Aakanksha, Arash Ahmadian, Beyza Ermis, et al.2024 · 49 citations
  70. Skywork-Reward-V2: Scaling Preference Data Curation via Human-AI SynergyarXiv:2507.01352Chris Yuhao Liu, Liang Zeng, Yuzhen Xiao, et al.2025 · 48 citations
  71. Language models scale reliably with over-training and on downstream tasksarXiv:2403.08540Samir Yitzhak Gadre, Georgios Smyrnis, Vaishaal Shankar, et al.2024 · 46 citations
  72. Scaling Laws with Vocabulary: Larger Models Deserve Larger VocabulariesarXiv:2407.13623Chaofan Tao, Qian Liu, Longxu Dou, et al.2024 · 46 citations
  73. EuroLLM-9B: Technical ReportarXiv:2506.04079Pedro Henrique Martins, Joao Alves, Patrick Fernandes, et al.2025 · 45 citations
  74. HyperCLOVA X Technical ReportarXiv:2404.01954Kang Min Yoo, Jaegeun Han, Sookyo In, et al.2024 · 44 citations
  75. NVIDIA Nemotron Nano 2: An Accurate and Efficient Hybrid Mamba-Transformer Reasoning ModelarXiv:2508.14444NVIDIA: Aarti Basant, Abhijit Khairnar, Abhijit Paithankar, et al.2025 · 39 citations
  76. Can LLM Generate Culturally Relevant Commonsense QA Data? Case Study in Indonesian and SundaneseConference on Empirical Methods in Natural Language Processing (EMNLP)Rifki Afina Putri, Faiz Ghifari Haznitrama, Dea Adhista, et al.2024 · 38 citations
  77. Palm: A Culturally Inclusive and Linguistically Diverse Dataset for Arabic LLMsAnnual Meeting of the Association for Computational Linguistics (ACL)Fakhraddin Alwajih, Abdellah El Mekki, Samar Mohamed Magdy, et al.2025 · 37 citations
  78. 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
  79. CIDAR: Culturally Relevant Instruction Dataset For ArabicFindings of the Association for Computational LinguisticsZaid Alyafeai, Khalid Almubarak, Ahmed Ashraf, et al.2024 · 30 citations
  80. SEA-LION: Southeast Asian Languages in One NetworkInternational Joint Conference on Natural Language Processing (IJCNLP)Raymond Ng, Thanh Ngan Nguyen, Huang Yuli, et al.2025 · 29 citations
  81. M-RewardBench: Evaluating Reward Models in Multilingual SettingsAnnual Meeting of the Association for Computational Linguistics (ACL)Srishti Gureja, Lester James V. Miranda, Shayekh Bin Islam, et al.2025 · 28 citations
  82. MultiSocial: Multilingual Benchmark of Machine-Generated Text Detection of Social-Media TextsAnnual Meeting of the Association for Computational Linguistics (ACL)Dominik Macko, Jakub Kopál, Robert Moro, et al.2025 · 28 citations
  83. Which of These Best Describes Multiple Choice Evaluation with LLMs? A) Forced B) Flawed C) Fixable D) All of the AboveAnnual Meeting of the Association for Computational Linguistics (ACL)Nishant Balepur, Rachel Rudinger, Jordan Boyd-Graber2025 · 28 citations
  84. CaLMQA: Exploring culturally specific long-form question answering across 23 languagesAnnual Meeting of the Association for Computational Linguistics (ACL)Shane Arora, Marzena Karpinska, Hung-Ting Chen, et al.2025 · 27 citations
  85. Separating Tongue from Thought: Activation Patching Reveals Language-Agnostic Concept Representations in TransformersAnnual Meeting of the Association for Computational Linguistics (ACL)Clément Dumas, Chris Wendler, Veniamin Veselovsky, et al.2025 · 27 citations
  86. LLM-as-a-Judge & Reward Model: What They Can and Cannot DoarXiv:2409.11239Guijin Son, Hyunwoo Ko, Hoyoung Lee, et al.2024 · 27 citations
  87. S²R: Teaching LLMs to Self-verify and Self-correct via Reinforcement LearningAnnual Meeting of the Association for Computational Linguistics (ACL)Ruotian Ma, Peisong Wang, Cheng Liu, et al.2025 · 26 citations
  88. TreeRL: LLM Reinforcement Learning with On-Policy Tree SearchAnnual Meeting of the Association for Computational Linguistics (ACL)Zhenyu Hou, Ziniu Hu, Yujiang Li, et al.2025 · 26 citations
  89. Do Large Language Models have an English Accent? Evaluating and Improving the Naturalness of Multilingual LLMsAnnual Meeting of the Association for Computational Linguistics (ACL)Yanzhu Guo, Simone Conia, Zelin Zhou, et al.2025 · 25 citations
  90. The State of Multilingual LLM Safety Research: From Measuring The Language Gap To Mitigating ItConference on Empirical Methods in Natural Language Processing (EMNLP)Zheng Xin Yong, Beyza Ermis, Marzieh Fadaee, et al.2025 · 25 citations
  91. IberoBench: A Benchmark for LLM Evaluation in Iberian LanguagesInternational Conference on Computational Linguistics (COLING)Irene Baucells, Javier Aula-Blasco, Iria de-Dios-Flores, et al.2025 · 24 citations
  92. Linguistic Generalizability of Test-Time Scaling in Mathematical ReasoningAnnual Meeting of the Association for Computational Linguistics (ACL)Guijin Son, Jiwoo Hong, Hyunwoo Ko, et al.2025 · 24 citations
  93. A Survey of Large Language Models for Arabic Language and its DialectsACM Transactions on Asian and Low-Resource Language Information ProcessingMalak Mashaabi, Shahad Al-Khalifa, Hend Al-Khalifa2024 · 24 citations
  94. Middle-Layer Representation Alignment for Cross-Lingual Transfer in Fine-Tuned LLMsAnnual Meeting of the Association for Computational Linguistics (ACL)Danni Liu, Jan Niehues2025 · 23 citations
  95. 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
  96. Online Difficulty Filtering for Reasoning Oriented Reinforcement LearningConference of the European Chapter of the Association for Computational Linguistics (EACL)Sanghwan Bae, Jiwoo Hong, Min Young Lee, et al.2026 · 22 citations
  97. Rethinking Entropy Interventions in RLVR: An Entropy Change PerspectiveAnnual Meeting of the Association for Computational Linguistics (ACL)Zhezheng Hao, Hong Wang, Haoyang Liu, et al.2026 · 22 citations
  98. TURJUMAN: A Public Toolkit for Neural Arabic Machine TranslationWorkshop on Open-Source Arabic Corpora and Processing Tools with Shared TasksEl Moatez Billah Nagoudi, AbdelRahim Elmadany, Muhammad Abdul-Mageed2022 · 21 citations
  99. AttnPO: Attention-Guided Process Supervision for Efficient ReasoningAnnual Meeting of the Association for Computational Linguistics (ACL)Shuaiyi Nie, Dingsiyu, Wenyuan Zhang, et al.2026 · 18 citations
  100. Command R7B Arabic: a small, enterprise-focused, multilingual, and culturally aware Arabic LLMWorkshop on African Natural Language ProcessingYazeed Alnumay, Alexandre Barbet, Anna Bialas, et al.2025 · 18 citations

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