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Who cites Olatunji Ruwase

2,743 citations of their works from 2,562 papers of our library (of the 149,439 whose bibliographies we read) · 537 with a page here, the most cited first · page 3 of 6 · 201–300 · ← Olatunji Ruwase

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  1. How well do Large Language Models perform in Arithmetic tasks?arXiv:2304.02015Zheng Yuan, Hongyi Yuan, Chuanqi Tan, et al.2023 · 93 citations
  2. Small Language Models are the Future of Agentic AIarXiv:2506.02153Peter Belcak, Greg Heinrich, Shizhe Diao, et al.2025 · 92 citations
  3. SeaLLMs — Large Language Models for Southeast AsiaarXiv:2312.00738Xuan-Phi Nguyen, Wenxuan Zhang, Xin Li, et al.2023 · 92 citations
  4. What's In My Big Data?arXiv:2310.20707Yanai Elazar, Akshita Bhagia, Ian Magnusson, et al.2023 · 92 citations
  5. Accelerating Distributed MoE Training and Inference with LinaarXiv:2210.17223Jiamin Li, Yimin Jiang, Yibo Zhu, et al.2022 · 92 citations
  6. LLM Inference Unveiled: Survey and Roofline Model InsightsarXiv 2024Zhihang Yuan, Yuzhang Shang, Yang Zhou, et al.2024 · 91 citations
  7. Cross-Lingual Consistency of Factual Knowledge in Multilingual Language ModelsConference on Empirical Methods in Natural Language Processing (EMNLP)Jirui Qi, Raquel Fernández, Arianna Bisazza2023 · 90 citations
  8. How to Train Long-Context Language Models (Effectively)Annual Meeting of the Association for Computational Linguistics (ACL)Tianyu Gao, Alexander Wettig, Howard Yen, et al.2025 · 89 citations
  9. Safety Assessment of Chinese Large Language ModelsarXiv:2304.10436Hao Sun, Zhexin Zhang, Jiawen Deng, et al.2023 · 89 citations
  10. Task Contamination: Language Models May Not Be Few-Shot AnymoreProceedings of the AAAI Conference on Artificial IntelligenceChangmao Li, Jeffrey Flanigan2023 · 89 citations
  11. BABILong: Testing the Limits of LLMs with Long Context Reasoning-in-a-HaystackConference on Neural Information Processing Systems (NeurIPS)Yuri Kuratov, Aydar Bulatov, Petr Anokhin, et al.2024 · 88 citations
  12. The Language Barrier: Dissecting Safety Challenges of LLMs in Multilingual ContextsFindings of the Association for Computational LinguisticsLingfeng Shen, Weiting Tan, Sihao Chen, et al.2024 · 88 citations
  13. Liger Kernel: Efficient Triton Kernels for LLM TrainingarXiv:2410.10989Pin-Lun Hsu, Yun Dai, Vignesh Kothapalli, et al.2024 · 87 citations
  14. When Is Multilinguality a Curse? Language Modeling for 250 High- and Low-Resource LanguagesConference on Empirical Methods in Natural Language Processing (EMNLP)Tyler A. Chang, Catherine Arnett, Zhuowen Tu, et al.2024 · 87 citations
  15. REST: Retrieval-Based Speculative DecodingarXiv:2311.08252Zhenyu He; Zexuan Zhong; Tianle Cai; Jason D. Lee;, Di He2023 · 87 citations
  16. Breaking Language Barriers in Multilingual Mathematical Reasoning: Insights and ObservationsFindings of the Association for Computational LinguisticsNuo Chen, Zinan Zheng, Ning Wu, et al.2024 · 86 citations
  17. BUFFET: Benchmarking Large Language Models for Few-shot Cross-lingual TransferConference of the North American Chapter of the Association for Computational Linguistics (NAACL)Akari Asai, Sneha Kudugunta, Xinyan Yu, et al.2024 · 86 citations
  18. Multilingual Large Language Models Are Not (Yet) Code-SwitchersConference on Empirical Methods in Natural Language Processing (EMNLP)Ruochen Zhang, Samuel Cahyawijaya, Jan Christian Blaise Cruz, et al.2023 · 86 citations
  19. SeaEval for Multilingual Foundation Models: From Cross-Lingual Alignment to Cultural ReasoningConference of the North American Chapter of the Association for Computational Linguistics (NAACL)Bin Wang, Zhengyuan Liu, Xin Huang, et al.2024 · 85 citations
  20. BayLing: Bridging Cross-lingual Alignment and Instruction Following through Interactive Translation for Large Language ModelsarXiv:2306.10968Shaolei Zhang, Qingkai Fang, Zhuocheng Zhang, et al.2023 · 85 citations
  21. Investigating the Translation Performance of a Large Multilingual Language Model: the Case of BLOOMarXiv:2303.01911Rachel Bawden, François Yvon2023 · 85 citations
  22. Extreme Compression of Large Language Models via Additive QuantizationInternational Conference on Machine Learning (ICML)Vage Egiazarian, Andrei Panferov, Denis Kuznedelev, et al.2024 · 84 citations
  23. Mitigating the Alignment Tax of RLHFConference on Empirical Methods in Natural Language Processing (EMNLP)Yong Lin, Hangyu Lin, Wei Xiong, et al.2024 · 83 citations
  24. Survey of Vulnerabilities in Large Language Models Revealed by Adversarial AttacksarXiv:2310.10844Erfan Shayegani, Md Abdullah Al Mamun, Yu Fu, et al.2023 · 83 citations
  25. Style Over Substance: Evaluation Biases for Large Language ModelsInternational Conference on Computational Linguistics (COLING)Minghao Wu, Alham Fikri Aji2025 · 81 citations
  26. Chain-of-Dictionary Prompting Elicits Translation in Large Language ModelsConference on Empirical Methods in Natural Language Processing (EMNLP)Hongyuan Lu, Haoran Yang, Haoyang Huang, et al.2024 · 81 citations
  27. In-Context Unlearning: Language Models as Few Shot UnlearnersarXiv:2310.07579Martin Pawelczyk, Seth Neel, Himabindu Lakkaraju2023 · 81 citations
  28. MasakhaNEWS: News Topic Classification for African languagesInternational Joint Conference on Natural Language Processing (IJCNLP)David Ifeoluwa Adelani, Marek Masiak, Israel Abebe Azime, et al.2023 · 81 citations
  29. LLaMA Beyond English: An Empirical Study on Language Capability TransferarXiv:2401.01055Jun Zhao, Zhihao Zhang, Luhui Gao, et al.2024 · 78 citations
  30. Evaluating GPT-4 and ChatGPT on Japanese Medical Licensing ExaminationsarXiv:2303.18027Jungo Kasai, Yuhei Kasai, Keisuke Sakaguchi, et al.2023 · 77 citations
  31. KMMLU: Measuring Massive Multitask Language Understanding in KoreanConference of the North American Chapter of the Association for Computational Linguistics (NAACL)Guijin Son, Hanwool Lee, Sungdong Kim, et al.2025 · 76 citations
  32. OR-Bench: An Over-Refusal Benchmark for Large Language ModelsarXiv:2405.20947Justin Cui, Wei-Lin Chiang, Ion Stoica, et al.2024 · 76 citations
  33. G-LLaVA: Solving Geometric Problem with Multi-Modal Large Language ModelarXiv:2312.11370Jiahui Gao, Renjie Pi, Jipeng Zhang, et al.2023 · 76 citations
  34. Multilingual Large Language Model: A Survey of Resources, Taxonomy and FrontiersarXiv:2404.04925Libo Qin, Qiguang Chen, Yuhang Zhou, et al.2024 · 75 citations
  35. PUB: A Pragmatics Understanding Benchmark for Assessing LLMs' Pragmatics CapabilitiesSettaluri Sravanthi, Meet Doshi, Pavan Tankala, et al.2024 · 75 citations
  36. Mutual Reasoning Makes Smaller LLMs Stronger Problem-SolversarXiv:2408.06195Zhenting Qi, Mingyuan Ma, Jiahang Xu, et al.2024 · 74 citations
  37. Instruction Mining: Instruction Data Selection for Tuning Large Language ModelsarXiv:2307.06290Yihan Cao, Yanbin Kang, Chi Wang, et al.2023 · 74 citations
  38. Skeleton-of-Thought: Prompting LLMs for Efficient Parallel GenerationarXiv:2307.15337Xuefei Ning, Zinan Lin, Zixuan Zhou, et al.2023 · 72 citations
  39. 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
  40. ClinicalGPT: Large Language Models Finetuned with Diverse Medical Data and Comprehensive EvaluationarXiv:2306.09968Guangyu Wang, Guoxing Yang, Zongxin Du, et al.2023 · 70 citations
  41. 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
  42. Arithmetic Control of LLMs for Diverse User Preferences: Directional Preference Alignment with Multi-Objective RewardsAnnual Meeting of the Association for Computational Linguistics (ACL)Haoxiang Wang, Yong Lin, Wei Xiong, et al.2024 · 68 citations
  43. Phoenix: Democratizing ChatGPT across LanguagesarXiv:2304.10453Zhihong Chen, Feng Jiang, Junying Chen, et al.2023 · 68 citations
  44. Seed1.5-VL Technical ReportarXiv:2505.07062Dong Guo, Faming Wu, Feida Zhu, et al.2025 · 67 citations
  45. FLUX: Fast Software-based Communication Overlap On GPUs Through Kernel FusionarXiv:2406.06858Li-Wen Chang, Wenlei Bao, Qi Hou, et al.2024 · 67 citations
  46. OffsetBias: Leveraging Debiased Data for Tuning EvaluatorsFindings of the Association for Computational LinguisticsJunsoo Park, Seungyeon Jwa, Ren Meiying, et al.2024 · 67 citations
  47. On Context Utilization in Summarization with Large Language ModelsAnnual Meeting of the Association for Computational Linguistics (ACL)Mathieu Ravaut, Aixin Sun, Nancy Chen, et al.2024 · 67 citations
  48. LongWriter: Unleashing 10,000+ Word Generation from Long Context LLMsarXiv:2408.07055Yushi Bai, Jiajie Zhang, Xin Lv, et al.2024 · 66 citations
  49. Nemotron-CC: Transforming Common Crawl into a Refined Long-Horizon Pretraining DatasetAnnual Meeting of the Association for Computational Linguistics (ACL)Dan Su, Kezhi Kong, Ying Lin, et al.2025 · 65 citations
  50. On the Multilingual Ability of Decoder-based Pre-trained Language Models: Finding and Controlling Language-Specific NeuronsConference of the North American Chapter of the Association for Computational Linguistics (NAACL)Takeshi Kojima, Itsuki Okimura, Yusuke Iwasawa, et al.2024 · 65 citations
  51. Small LLMs Are Weak Tool Learners: A Multi-LLM AgentConference on Empirical Methods in Natural Language Processing (EMNLP)Weizhou Shen, Chenliang Li, Hongzhan Chen, et al.2024 · 65 citations
  52. We-Math: Does Your Large Multimodal Model Achieve Human-like Mathematical Reasoning?arXiv:2407.01284Runqi Qiao, Qiuna Tan, Guanting Dong, et al.2024 · 65 citations
  53. Goat: Fine-tuned LLaMA Outperforms GPT-4 on Arithmetic TasksarXiv:2305.14201Tiedong Liu, Bryan Kian Hsiang Low2023 · 65 citations
  54. A Comprehensive Survey on Long Context Language ModelingarXiv:2503.17407Jiaheng Liu, Dawei Zhu, Zhiqi Bai, et al.2025 · 64 citations
  55. Phi-4-reasoning Technical ReportarXiv:2504.21318Marah Abdin, Sahaj Agarwal, Ahmed Awadallah, et al.2025 · 64 citations
  56. MARIO: MAth Reasoning with code Interpreter Output - A Reproducible PipelineFindings of the Association for Computational LinguisticsMinpeng Liao, Chengxi Li, Wei Luo, et al.2024 · 64 citations
  57. Fairness-guided Few-shot Prompting for Large Language ModelsarXiv:2303.13217Huan Ma, Changqing Zhang, Yatao Bian, et al.2023 · 64 citations
  58. ALLaVA: Harnessing GPT4V-Synthesized Data for Lite Vision-Language ModelsarXiv:2402.11684Guiming Hardy Chen, Shunian Chen, Ruifei Zhang, et al.2024 · 62 citations
  59. Exploring the Impact of Instruction Data Scaling on Large Language Models: An Empirical Study on Real-World Use CasesarXiv:2303.14742Yunjie Ji, Yong Deng, Yan Gong, et al.2023 · 62 citations
  60. Is Translation All You Need? A Study on Solving Multilingual Tasks with Large Language ModelsConference of the North American Chapter of the Association for Computational Linguistics (NAACL)Chaoqun Liu, Wenxuan Zhang, Yiran Zhao, et al.2025 · 61 citations
  61. Unifying Multimodal Retrieval via Document Screenshot EmbeddingConference on Empirical Methods in Natural Language Processing (EMNLP)Xueguang Ma, Sheng-Chieh Lin, Minghan Li, et al.2024 · 61 citations
  62. In-context Pretraining: Language Modeling Beyond Document BoundariesarXiv:2310.10638Weijia Shi, Sewon Min, Maria Lomeli, et al.2023 · 61 citations
  63. A Family of Pretrained Transformer Language Models for RussianLanguage Resources and Evaluation Conference (LREC)Dmitry Zmitrovich, Aleksandr Abramov, Andrey Kalmykov, et al.2024 · 60 citations
  64. TARJAMAT: Evaluation of Bard and ChatGPT on Machine Translation of Ten Arabic VarietiesArabic Natural Language Processing Conference (ArabicNLP)Karima Kadaoui, Samar M. Magdy, Abdul Waheed, et al.2023 · 60 citations
  65. BAMBOO: A Comprehensive Benchmark for Evaluating Long Text Modeling Capacities of Large Language ModelsLanguage Resources and Evaluation Conference (LREC)Zican Dong, Tianyi Tang, Junyi Li, et al.2024 · 59 citations
  66. Instruction Pre-Training: Language Models are Supervised Multitask LearnersConference on Empirical Methods in Natural Language Processing (EMNLP)Daixuan Cheng, Yuxian Gu, Shaohan Huang, et al.2024 · 59 citations
  67. Samba: Simple Hybrid State Space Models for Efficient Unlimited Context Language ModelingarXiv:2406.07522Liliang Ren, Yang Liu, Yadong Lu, et al.2024 · 59 citations
  68. MaLA-500: Massive Language Adaptation of Large Language ModelsarXiv:2401.13303Peiqin Lin, Shaoxiong Ji, Jorg Tiedemann, et al.2024 · 58 citations
  69. MLLM-Protector: Ensuring MLLM's Safety without Hurting PerformanceConference on Empirical Methods in Natural Language Processing (EMNLP)Renjie Pi, Tianyang Han, Jianshu Zhang, et al.2024 · 58 citations
  70. LoRA-FA: Efficient and Effective Low Rank Representation Fine-tuningarXiv:2308.03303Longteng Zhang, Lin Zhang, Shaohuai Shi, et al.2023 · 58 citations
  71. 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
  72. SciAgent: Tool-augmented Language Models for Scientific ReasoningConference on Empirical Methods in Natural Language Processing (EMNLP)Yubo Ma, Zhibin Gou, Junheng Hao, et al.2024 · 55 citations
  73. 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
  74. Unifying AI Tutor Evaluation: An Evaluation Taxonomy for Pedagogical Ability Assessment of LLM-Powered AI TutorsConference of the North American Chapter of the Association for Computational Linguistics (NAACL)Kaushal Kumar Maurya, Kv Aditya Srivatsa, Kseniia Petukhova, et al.2025 · 53 citations
  75. Why do language models perform worse for morphologically complex languages?International Conference on Computational Linguistics (COLING)Catherine Arnett, Benjamin Bergen2025 · 53 citations
  76. 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
  77. Cultural Adaptation of RecipesTransactions of the Association for Computational Linguistics (TACL)Yong Cao, Yova Kementchedjhieva, Ruixiang Cui, et al.2024 · 50 citations
  78. Prompting Multilingual Large Language Models to Generate Code-Mixed Texts: The Case of South East Asian LanguagesarXiv:2303.13592Zheng-Xin Yong, Ruochen Zhang, Jessica Zosa Forde, et al.2023 · 48 citations
  79. Getting the most out of your tokenizer for pre-training and domain adaptationarXiv:2402.01035Gautier Dagan, Gabriel Synnaeve, Baptiste Roziere2024 · 47 citations
  80. WorldCuisines: A Massive-Scale Benchmark for Multilingual and Multicultural Visual Question Answering on Global CuisinesConference of the North American Chapter of the Association for Computational Linguistics (NAACL)Genta Indra Winata, Frederikus Hudi, Patrick Amadeus Irawan, et al.2025 · 46 citations
  81. Language models scale reliably with over-training and on downstream tasksarXiv:2403.08540Samir Yitzhak Gadre, Georgios Smyrnis, Vaishaal Shankar, et al.2024 · 46 citations
  82. Scaling Laws with Vocabulary: Larger Models Deserve Larger VocabulariesarXiv:2407.13623Chaofan Tao, Qian Liu, Longxu Dou, et al.2024 · 46 citations
  83. Lost in Translation: Large Language Models in Non-English Content AnalysisarXiv:2306.07377Gabriel Nicholas, Aliya Bhatia2023 · 45 citations
  84. Halo: Estimation and Reduction of Hallucinations in Open-Source Weak Large Language ModelsarXiv:2308.11764Mohamed Elaraby, Mengyin Lu, Jacob Dunn, et al.2023 · 43 citations
  85. Breaking the Curse of Multilinguality with Cross-lingual Expert Language ModelsConference on Empirical Methods in Natural Language Processing (EMNLP)Terra Blevins, Tomasz Limisiewicz, Suchin Gururangan, et al.2024 · 42 citations
  86. The ROOTS Search Tool: Data Transparency for LLMsAnnual Meeting of the Association for Computational Linguistics (ACL)Aleksandra Piktus, Christopher Akiki, Paulo Villegas, et al.2023 · 42 citations
  87. DeepSeek: Paradigm Shifts and Technical Evolution in Large AI ModelsarXiv:2507.09955Luolin Xiong, Haofen Wang, Xi Chen, et al.2025 · 41 citations
  88. Observational Scaling Laws and the Predictability of Language Model PerformancearXiv:2405.10938Yangjun Ruan, Chris J. Maddison, Tatsunori Hashimoto2024 · 40 citations
  89. PanGu-{\Sigma}: Towards Trillion Parameter Language Model with Sparse Heterogeneous ComputingarXiv:2303.10845Xiaozhe Ren, Pingyi Zhou, Xinfan Meng, et al.2023 · 40 citations
  90. 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
  91. Towards Effective Disambiguation for Machine Translation with Large Language ModelsConference on Machine Translation (WMT)Vivek Iyer, Pinzhen Chen, Alexandra Birch2023 · 38 citations
  92. Impossible Distillation: from Low-Quality Model to High-Quality Dataset & Model for Summarization and ParaphrasingarXiv:2305.16635Jaehun Jung, Peter West, Liwei Jiang, et al.2023 · 36 citations
  93. On the Diversity of Synthetic Data and its Impact on Training Large Language ModelsarXiv:2410.15226Hao Chen, Abdul Waheed, Xiang Li, et al.2024 · 35 citations
  94. CompAct: Compressing Retrieved Documents Actively for Question AnsweringConference on Empirical Methods in Natural Language Processing (EMNLP)Chanwoong Yoon, Taewhoo Lee, Hyeon Hwang, et al.2024 · 34 citations
  95. 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
  96. Xiezhi: An Ever-Updating Benchmark for Holistic Domain Knowledge EvaluationarXiv:2306.05783Zhouhong Gu, Xiaoxuan Zhu, Haoning Ye, et al.2023 · 34 citations
  97. 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
  98. TransNormerLLM: A Faster and Better Large Language Model with Improved TransNormerarXiv:2307.14995Zhen Qin, Dong Li, Weigao Sun, et al.2023 · 33 citations
  99. ERNIE-ViLG: Unified Generative Pre-training for Bidirectional Vision-Language GenerationarXiv:2112.15283Han Zhang, Weichong Yin, Yewei Fang, et al.2021 · 33 citations
  100. DistiLLM-2: A Contrastive Approach Boosts the Distillation of LLMsarXiv:2503.07067Jongwoo Ko, Tianyi Chen, Sungnyun Kim, et al.2025 · 32 citations

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