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Who cites Newton Cheng

1,974 citations of their works from 1,888 papers of our library (of the 149,439 whose bibliographies we read) · 483 with a page here, the most cited first · page 3 of 5 · 201–300 · ← Newton Cheng

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  1. 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
  2. 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
  3. 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
  4. 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
  5. 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
  6. Investigating the Translation Performance of a Large Multilingual Language Model: the Case of BLOOMarXiv:2303.01911Rachel Bawden, François Yvon2023 · 85 citations
  7. 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
  8. PKU-SafeRLHF: Towards Multi-Level Safety Alignment for LLMs with Human PreferenceAnnual Meeting of the Association for Computational Linguistics (ACL)Jiaming Ji, Donghai Hong, Borong Zhang, et al.2025 · 83 citations
  9. 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
  10. 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
  11. Style Over Substance: Evaluation Biases for Large Language ModelsInternational Conference on Computational Linguistics (COLING)Minghao Wu, Alham Fikri Aji2025 · 81 citations
  12. 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
  13. In-Context Unlearning: Language Models as Few Shot UnlearnersarXiv:2310.07579Martin Pawelczyk, Seth Neel, Himabindu Lakkaraju2023 · 81 citations
  14. 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
  15. Making Reasoning Matter: Measuring and Improving Faithfulness of Chain-of-Thought ReasoningFindings of the Association for Computational LinguisticsDebjit Paul, Robert West, Antoine Bosselut, et al.2024 · 79 citations
  16. LLaMA Beyond English: An Empirical Study on Language Capability TransferarXiv:2401.01055Jun Zhao, Zhihao Zhang, Luhui Gao, et al.2024 · 78 citations
  17. Factuality of Large Language Models: A SurveyConference on Empirical Methods in Natural Language Processing (EMNLP)Yuxia Wang, Minghan Wang, Muhammad Arslan Manzoor, et al.2024 · 77 citations
  18. Evaluating GPT-4 and ChatGPT on Japanese Medical Licensing ExaminationsarXiv:2303.18027Jungo Kasai, Yuhei Kasai, Keisuke Sakaguchi, et al.2023 · 77 citations
  19. 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
  20. G-LLaVA: Solving Geometric Problem with Multi-Modal Large Language ModelarXiv:2312.11370Jiahui Gao, Renjie Pi, Jipeng Zhang, et al.2023 · 76 citations
  21. Multilingual Large Language Model: A Survey of Resources, Taxonomy and FrontiersarXiv:2404.04925Libo Qin, Qiguang Chen, Yuhang Zhou, et al.2024 · 75 citations
  22. PUB: A Pragmatics Understanding Benchmark for Assessing LLMs' Pragmatics CapabilitiesSettaluri Sravanthi, Meet Doshi, Pavan Tankala, et al.2024 · 75 citations
  23. Instruction Mining: Instruction Data Selection for Tuning Large Language ModelsarXiv:2307.06290Yihan Cao, Yanbin Kang, Chi Wang, et al.2023 · 74 citations
  24. A Primer on the Inner Workings of Transformer-based Language ModelsarXiv:2405.00208Javier Ferrando, Gabriele Sarti, Arianna Bisazza, et al.2024 · 72 citations
  25. HelpSteer: Multi-attribute Helpfulness Dataset for SteerLMConference of the North American Chapter of the Association for Computational Linguistics (NAACL)Zhilin Wang, Yi Dong, Jiaqi Zeng, et al.2024 · 72 citations
  26. Secrets of RLHF in Large Language Models Part II: Reward ModelingarXiv:2401.06080Binghai Wang, Rui Zheng, Lu Chen, et al.2024 · 72 citations
  27. 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
  28. ClinicalGPT: Large Language Models Finetuned with Diverse Medical Data and Comprehensive EvaluationarXiv:2306.09968Guangyu Wang, Guoxing Yang, Zongxin Du, et al.2023 · 70 citations
  29. 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
  30. 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
  31. Phoenix: Democratizing ChatGPT across LanguagesarXiv:2304.10453Zhihong Chen, Feng Jiang, Junying Chen, et al.2023 · 68 citations
  32. OffsetBias: Leveraging Debiased Data for Tuning EvaluatorsFindings of the Association for Computational LinguisticsJunsoo Park, Seungyeon Jwa, Ren Meiying, et al.2024 · 67 citations
  33. 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
  34. 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
  35. Goat: Fine-tuned LLaMA Outperforms GPT-4 on Arithmetic TasksarXiv:2305.14201Tiedong Liu, Bryan Kian Hsiang Low2023 · 65 citations
  36. A Comprehensive Survey on Long Context Language ModelingarXiv:2503.17407Jiaheng Liu, Dawei Zhu, Zhiqi Bai, et al.2025 · 64 citations
  37. Meta-Rewarding Language Models: Self-Improving Alignment with LLM-as-a-Meta-JudgeConference on Empirical Methods in Natural Language Processing (EMNLP)Tianhao Wu, Weizhe Yuan, Olga Golovneva, et al.2025 · 64 citations
  38. A Peek into Token Bias: Large Language Models Are Not Yet Genuine ReasonersConference on Empirical Methods in Natural Language Processing (EMNLP)Bowen Jiang, Yangxinyu Xie, Zhuoqun Hao, et al.2024 · 64 citations
  39. Fairness-guided Few-shot Prompting for Large Language ModelsarXiv:2303.13217Huan Ma, Changqing Zhang, Yatao Bian, et al.2023 · 64 citations
  40. Monitoring Reasoning Models for Misbehavior and the Risks of Promoting ObfuscationarXiv:2503.11926Bowen Baker, Joost Huizinga, Leo Gao, et al.2025 · 63 citations
  41. 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
  42. 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
  43. In-context Pretraining: Language Modeling Beyond Document BoundariesarXiv:2310.10638Weijia Shi, Sewon Min, Maria Lomeli, et al.2023 · 61 citations
  44. 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
  45. Compressed Chain of Thought: Efficient Reasoning Through Dense RepresentationsarXiv:2412.13171Jeffrey Cheng, Benjamin Van Durme2024 · 60 citations
  46. 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
  47. 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
  48. 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
  49. MaLA-500: Massive Language Adaptation of Large Language ModelsarXiv:2401.13303Peiqin Lin, Shaoxiong Ji, Jorg Tiedemann, et al.2024 · 58 citations
  50. 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
  51. OlympicArena: Benchmarking Multi-discipline Cognitive Reasoning for Superintelligent AIConference on Neural Information Processing Systems (NeurIPS)Zhen Huang, Zengzhi Wang, Shijie Xia, et al.2024 · 56 citations
  52. A Survey of Efficient Reasoning for Large Reasoning Models: Language, Multimodality, and BeyondarXiv:2503.21614Xiaoye Qu, Yafu Li, Zhao-Chen Su, et al.2025 · 55 citations
  53. 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
  54. Tokenization counts: the impact of tokenization on arithmetic in frontier LLMsarXiv:2402.14903Aaditya K. Singh, DJ Strouse2024 · 55 citations
  55. In-context Learning with Retrieved Demonstrations for Language Models: A SurveyarXiv:2401.11624Man Luo, Xin Xu, Yue Liu, et al.2024 · 54 citations
  56. 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
  57. Why do language models perform worse for morphologically complex languages?International Conference on Computational Linguistics (COLING)Catherine Arnett, Benjamin Bergen2025 · 53 citations
  58. 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
  59. Cultural Adaptation of RecipesTransactions of the Association for Computational Linguistics (TACL)Yong Cao, Yova Kementchedjhieva, Ruixiang Cui, et al.2024 · 50 citations
  60. 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
  61. Getting the most out of your tokenizer for pre-training and domain adaptationarXiv:2402.01035Gautier Dagan, Gabriel Synnaeve, Baptiste Roziere2024 · 47 citations
  62. Language models scale reliably with over-training and on downstream tasksarXiv:2403.08540Samir Yitzhak Gadre, Georgios Smyrnis, Vaishaal Shankar, et al.2024 · 46 citations
  63. Scaling Laws with Vocabulary: Larger Models Deserve Larger VocabulariesarXiv:2407.13623Chaofan Tao, Qian Liu, Longxu Dou, et al.2024 · 46 citations
  64. Lost in Translation: Large Language Models in Non-English Content AnalysisarXiv:2306.07377Gabriel Nicholas, Aliya Bhatia2023 · 45 citations
  65. ValueBench: Towards Comprehensively Evaluating Value Orientations and Understanding of Large Language ModelsAnnual Meeting of the Association for Computational Linguistics (ACL)Yuanyi Ren, Haoran Ye, Hanjun Fang, et al.2024 · 43 citations
  66. 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
  67. 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
  68. 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
  69. DeepSeek: Paradigm Shifts and Technical Evolution in Large AI ModelsarXiv:2507.09955Luolin Xiong, Haofen Wang, Xi Chen, et al.2025 · 41 citations
  70. Observational Scaling Laws and the Predictability of Language Model PerformancearXiv:2405.10938Yangjun Ruan, Chris J. Maddison, Tatsunori Hashimoto2024 · 40 citations
  71. PanGu-{\Sigma}: Towards Trillion Parameter Language Model with Sparse Heterogeneous ComputingarXiv:2303.10845Xiaozhe Ren, Pingyi Zhou, Xinfan Meng, et al.2023 · 40 citations
  72. Introducing v0.5 of the AI Safety Benchmark from MLCommonsarXiv:2404.12241Bertie Vidgen, Adarsh Agrawal, Ahmed M. Ahmed, et al.2024 · 38 citations
  73. 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
  74. Towards Effective Disambiguation for Machine Translation with Large Language ModelsConference on Machine Translation (WMT)Vivek Iyer, Pinzhen Chen, Alexandra Birch2023 · 38 citations
  75. 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
  76. 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
  77. Xiezhi: An Ever-Updating Benchmark for Holistic Domain Knowledge EvaluationarXiv:2306.05783Zhouhong Gu, Xiaoxuan Zhu, Haoning Ye, et al.2023 · 34 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. TransNormerLLM: A Faster and Better Large Language Model with Improved TransNormerarXiv:2307.14995Zhen Qin, Dong Li, Weigao Sun, et al.2023 · 33 citations
  80. Augmented Large Language Models with Parametric Knowledge GuidingarXiv:2305.04757Ziyang Luo, Can Xu, Pu Zhao, et al.2023 · 32 citations
  81. Lost in Multilinguality: Dissecting Cross-lingual Factual Inconsistency in Transformer Language ModelsAnnual Meeting of the Association for Computational Linguistics (ACL)Mingyang Wang, Heike Adel, Lukas Lange, et al.2025 · 31 citations
  82. Learning Planning-based Reasoning by Trajectories Collection and Process Reward SynthesizingConference on Empirical Methods in Natural Language Processing (EMNLP)Fangkai Jiao, Chengwei Qin, Zhengyuan Liu, et al.2024 · 31 citations
  83. The Life Cycle of Knowledge in Big Language Models: A SurveyarXiv:2303.07616 · Machine Intelligence Research. vol. 21, no. 2, pp. 217-238, 2024Boxi Cao, Hongyu Lin, Xianpei Han, et al.2023 · 31 citations
  84. ChatGLM-Math: Improving Math Problem-Solving in Large Language Models with a Self-Critique PipelinearXiv:2404.02893Yifan Xu, Xiao Liu, Xinghan Liu, et al.2024 · 30 citations
  85. Enhancing Multilingual Capabilities of Large Language Models through Self-Distillation from Resource-Rich LanguagesAnnual Meeting of the Association for Computational Linguistics (ACL)Yuanchi Zhang, Yile Wang, Zijun Liu, et al.2024 · 30 citations
  86. Nemotron-4 15B Technical ReportarXiv:2402.16819Jupinder Parmar, Shrimai Prabhumoye, Joseph Jennings, et al.2024 · 30 citations
  87. Reasoning Aware Self-Consistency: Leveraging Reasoning Paths for Efficient LLM SamplingConference of the North American Chapter of the Association for Computational Linguistics (NAACL)Guangya Wan, Yuqi Wu, Jie Chen, et al.2025 · 29 citations
  88. 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
  89. LangBridge: Multilingual Reasoning Without Multilingual SupervisionAnnual Meeting of the Association for Computational Linguistics (ACL)Dongkeun Yoon, Joel Jang, Sungdong Kim, et al.2024 · 29 citations
  90. One Law, Many Languages: Benchmarking Multilingual Legal Reasoning for Judicial SupportarXiv:2306.09237Ronja Stern, Vishvaksenan Rasiah, Veton Matoshi, et al.2023 · 29 citations
  91. Machine Translation Meta Evaluation through Translation Accuracy Challenge SetsComputational LinguisticsNikita Moghe, Arnisa Fazla, Chantal Amrhein, et al.2025 · 28 citations
  92. MultiPICo: Multilingual Perspectivist Irony CorpusAnnual Meeting of the Association for Computational Linguistics (ACL)Silvia Casola, Simona Frenda, Soda Marem Lo, et al.2024 · 28 citations
  93. PLUG: Leveraging Pivot Language in Cross-Lingual Instruction TuningAnnual Meeting of the Association for Computational Linguistics (ACL)Zhihan Zhang, Dong-Ho Lee, Yuwei Fang, et al.2024 · 28 citations
  94. A Technical Report for Polyglot-Ko: Open-Source Large-Scale Korean Language ModelsarXiv:2306.02254Hyunwoong Ko, Kichang Yang, Minho Ryu, et al.2023 · 28 citations
  95. Pushing the Limits of ChatGPT on NLP TasksarXiv:2306.09719Xiaofei Sun, Linfeng Dong, Xiaoya Li, et al.2023 · 28 citations
  96. Towards the Law of Capacity Gap in Distilling Language ModelsAnnual Meeting of the Association for Computational Linguistics (ACL)Chen Zhang, Qiuchi Li, Dawei Song, et al.2025 · 27 citations
  97. Evaluating ChatGPT and Bard AI on Arabic Sentiment AnalysisArabic Natural Language Processing Conference (ArabicNLP)Abdulmohsen Al-Thubaity, Sakhar Alkhereyf, Hanan Murayshid, et al.2023 · 27 citations
  98. Exploring the Relationship between LLM Hallucinations and Prompt Linguistic Nuances: Readability, Formality, and ConcretenessarXiv:2309.11064Vipula Rawte, Prachi Priya, S.M Towhidul Islam Tonmoy, et al.2023 · 27 citations
  99. Towards LogiGLUE: A Brief Survey and A Benchmark for Analyzing Logical Reasoning Capabilities of Language ModelsarXiv:2310.00836Man Luo, Shrinidhi Kumbhar, Ming shen, et al.2023 · 27 citations
  100. Navigating Cultural Chasms: Exploring and Unlocking the Cultural POV of Text-To-Image ModelsTransactions of the Association for Computational Linguistics (TACL)Mor Ventura, Eyal Ben-David, Anna Korhonen, et al.2025 · 25 citations

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