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Who cites Young Jin Kim

532 citations of their works from 512 papers of our library (of the 149,439 whose bibliographies we read) · 105 with a page here, the most cited first · page 1 of 2 · 1–100 · ← Young Jin Kim

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  1. Encouraging Divergent Thinking in Large Language Models through Multi-Agent DebateConference on Empirical Methods in Natural Language Processing (EMNLP)Tian Liang, Zhiwei He, Wenxiang Jiao, et al.2023 · 651 citations
  2. A Categorical Archive of ChatGPT FailuresarXiv:2302.03494Ali Borji2023 · 559 citations
  3. Multilingual Machine Translation with Large Language Models: Empirical Results and AnalysisFindings of the Association for Computational LinguisticsWenhao Zhu, Hongyi Liu, Qingxiu Dong, et al.2024 · 506 citations
  4. Tulu 3: Pushing Frontiers in Open Language Model Post-TrainingarXiv:2411.15124Nathan Lambert, Jacob Morrison, Valentina Pyatkin, et al.2024 · 423 citations
  5. ChatGPT Beyond English: Towards a Comprehensive Evaluation of Large Language Models in Multilingual LearningFindings of the Association for Computational LinguisticsViet Dac Lai, Nghia Ngo, Amir Pouran Ben Veyseh, et al.2023 · 422 citations
  6. Document-Level Machine Translation with Large Language ModelsConference on Empirical Methods in Natural Language Processing (EMNLP)Longyue Wang, Chenyang Lyu, Tianbo Ji, et al.2023 · 297 citations
  7. MEGA: Multilingual Evaluation of Generative AIarXiv:2303.12528Kabir Ahuja, Harshita Diddee, Rishav Hada, et al.2023 · 285 citations
  8. A Comprehensive Capability Analysis of GPT-3 and GPT-3.5 Series ModelsarXiv:2303.10420Junjie Ye, Xuanting Chen, Nuo Xu, et al.2023 · 283 citations
  9. Hallucinations in Large Multilingual Translation ModelsTransactions of the Association for Computational Linguistics (TACL)Nuno M. Guerreiro, Duarte M. Alves, Jonas Waldendorf, et al.2023 · 244 citations
  10. Tower: An Open Multilingual Large Language Model for Translation-Related TasksarXiv:2402.17733Duarte M. Alves, Jose Pombal, Nuno M. Guerreiro, et al.2024 · 227 citations
  11. Not All Languages Are Created Equal in LLMs: Improving Multilingual Capability by Cross-Lingual-Thought PromptingarXiv:2305.07004Haoyang Huang, Tianyi Tang, Dongdong Zhang, et al.2023 · 224 citations
  12. Contrastive Preference Optimization: Pushing the Boundaries of LLM Performance in Machine TranslationarXiv:2401.08417Haoran Xu, Amr Sharaf, Yunmo Chen, et al.2024 · 212 citations
  13. Exploring Human-Like Translation Strategy with Large Language ModelsTransactions of the Association for Computational Linguistics (TACL)Zhiwei He, Tian Liang, Wenxiang Jiao, et al.2024 · 207 citations
  14. A Systematic Study and Comprehensive Evaluation of ChatGPT on Benchmark DatasetsFindings of the Association for Computational LinguisticsMd Tahmid Rahman Laskar, M Saiful Bari, Mizanur Rahman, et al.2023 · 200 citations
  15. Towards Making the Most of ChatGPT for Machine TranslationFindings of the Association for Computational LinguisticsKeqin Peng, Liang Ding, Qihuang Zhong, et al.2023 · 190 citations
  16. The Prompt Report: A Systematic Survey of Prompt Engineering TechniquesarXiv:2406.06608Sander Schulhoff, Michael Ilie, Nishant Balepur, et al.2024 · 189 citations
  17. Low-Resource Languages Jailbreak GPT-4arXiv:2310.02446Zheng-Xin Yong, Cristina Menghini, Stephen H. Bach2023 · 183 citations
  18. Large Language Models Effectively Leverage Document-level Context for Literary Translation, but Critical Errors PersistConference on Machine Translation (WMT)Marzena Karpinska, Mohit Iyyer2023 · 156 citations
  19. Iterative Reasoning Preference OptimizationConference on Neural Information Processing Systems (NeurIPS)Richard Yuanzhe Pang, Weizhe Yuan, Kyunghyun Cho, et al.2024 · 153 citations
  20. ChatGPT MT: Competitive for High- (but Not Low-) Resource LanguagesConference on Machine Translation (WMT)Nathaniel Robinson, Perez Ogayo, David R. Mortensen, et al.2023 · 153 citations
  21. Is ChatGPT a Highly Fluent Grammatical Error Correction System? A Comprehensive EvaluationarXiv:2304.01746Tao Fang, Shu Yang, Kaixin Lan, et al.2023 · 145 citations
  22. Error Analysis Prompting Enables Human-Like Translation Evaluation in Large Language ModelsFindings of the Association for Computational LinguisticsQingyu Lu, Baopu Qiu, Liang Ding, et al.2024 · 136 citations
  23. Cross-lingual Prompting: Improving Zero-shot Chain-of-Thought Reasoning across LanguagesConference on Empirical Methods in Natural Language Processing (EMNLP)Libo Qin, Qiguang Chen, Fuxuan Wei, et al.2023 · 122 citations
  24. Benchmarking Machine Translation with Cultural AwarenessarXiv:2305.14328Binwei Yao, Ming Jiang, Tara Bobinac, et al.2023 · 110 citations
  25. GPTAraEval: A Comprehensive Evaluation of ChatGPT on Arabic NLPConference on Empirical Methods in Natural Language Processing (EMNLP)Md Tawkat Islam Khondaker, Abdul Waheed, El Moatez Billah Nagoudi, et al.2023 · 110 citations
  26. Leveraging GPT-4 for Automatic Translation Post-EditingFindings of the Association for Computational LinguisticsVikas Raunak, Amr Sharaf, Yiren Wang, et al.2023 · 108 citations
  27. Do Multilingual Language Models Think Better in English?Conference of the North American Chapter of the Association for Computational Linguistics (NAACL)Julen Etxaniz, Gorka Azkune, Aitor Soroa, et al.2024 · 101 citations
  28. Eliciting the Translation Ability of Large Language Models via Multilingual Finetuning with Translation InstructionsTransactions of the Association for Computational Linguistics (TACL)Jiahuan Li, Hao Zhou, Shujian Huang, et al.2024 · 99 citations
  29. ChatGPT: Beginning of an End of Manual Linguistic Data Annotation? Use Case of Automatic Genre IdentificationarXiv:2303.03953Taja Kuzman, Igor Mozetič, Nikola Ljubešic2023 · 95 citations
  30. 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
  31. Benchmark Data Contamination of Large Language Models: A SurveyarXiv:2406.04244Cheng Xu, Shuhao Guan, Derek Greene, et al.2024 · 85 citations
  32. Investigating the Translation Performance of a Large Multilingual Language Model: the Case of BLOOMarXiv:2303.01911Rachel Bawden, François Yvon2023 · 85 citations
  33. Smaug: Fixing Failure Modes of Preference Optimisation with DPO-PositivearXiv:2402.13228Arka Pal, Deep Karkhanis, Samuel Dooley, et al.2024 · 82 citations
  34. GPTEval: A Survey on Assessments of ChatGPT and GPT-4Language Resources and Evaluation Conference (LREC)Rui Mao, Guanyi Chen, Xulang Zhang, et al.2024 · 75 citations
  35. MEGAVERSE: Benchmarking Large Language Models Across Languages, Modalities, Models and TasksConference of the North American Chapter of the Association for Computational Linguistics (NAACL)Sanchit Ahuja, Divyanshu Aggarwal, Varun Gumma, et al.2024 · 74 citations
  36. Iterative Translation Refinement with Large Language ModelsAnnual Conference of the European Association for Machine Translation (EAMT)Pinzhen Chen, Zhicheng Guo, Barry Haddow, et al.2024 · 73 citations
  37. (Perhaps) Beyond Human Translation: Harnessing Multi-Agent Collaboration for Translating Ultra-Long Literary TextsTransactions of the Association for Computational Linguistics (TACL)Minghao Wu, Jiahao Xu, Yulin Yuan, et al.2025 · 71 citations
  38. 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
  39. 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
  40. 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
  41. mDPO: Conditional Preference Optimization for Multimodal Large Language ModelsConference on Empirical Methods in Natural Language Processing (EMNLP)Fei Wang, Wenxuan Zhou, James Y. Huang, et al.2024 · 50 citations
  42. 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
  43. Mitigating Hallucinations and Off-target Machine Translation with Source-Contrastive and Language-Contrastive DecodingConference of the European Chapter of the Association for Computational Linguistics (EACL)Rico Sennrich, Jannis Vamvas, Alireza Mohammadshahi2024 · 47 citations
  44. Counting the Bugs in ChatGPT's Wugs: A Multilingual Investigation into the Morphological Capabilities of a Large Language ModelLeonie Weissweiler, Valentin Hofmann, Anjali Kantharuban2023 · 47 citations
  45. Towards Effective Disambiguation for Machine Translation with Large Language ModelsConference on Machine Translation (WMT)Vivek Iyer, Pinzhen Chen, Alexandra Birch2023 · 38 citations
  46. BHASA: A Holistic Southeast Asian Linguistic and Cultural Evaluation Suite for Large Language ModelsarXiv:2309.06085Wei Qi Leong, Jian Gang Ngui, Yosephine Susanto, et al.2023 · 33 citations
  47. Low-Resource Machine Translation through Retrieval-Augmented LLM Prompting: A Study on the Mambai LanguageLanguage Resources and Evaluation Conference (LREC)Raphael Merx, Aso Mahmudi, Katrina Langford, et al.2024 · 27 citations
  48. Taqyim: Evaluating Arabic NLP Tasks Using ChatGPT ModelsarXiv:2306.16322Zaid Alyafeai, Maged S. Alshaibani, Badr AlKhamissi, et al.2023 · 25 citations
  49. Demons in the Detail: On Implementing Load Balancing Loss for Training Specialized Mixture-of-Expert ModelsAnnual Meeting of the Association for Computational Linguistics (ACL)Zihan Qiu, Zeyu Huang, Bo Zheng, et al.2025 · 21 citations
  50. MoRAL: MoE Augmented LoRA for LLMs' Lifelong LearningarXiv:2402.11260Shu Yang; Muhammad Asif Ali; Cheng-Long Wang; Lijie Hu;, Di Wang2024 · 21 citations
  51. Anchored Preference Optimization and Contrastive Revisions: Addressing Underspecification in AlignmentTransactions of the Association for Computational Linguistics (TACL)Karel D'Oosterlinck, Winnie Xu, Chris Develder, et al.2025 · 20 citations
  52. LLM-Assisted Rule Based Machine Translation for Low/No-Resource LanguagesJared Coleman, Bhaskar Krishnamachari, Ruben Rosales, et al.2024 · 20 citations
  53. Benchmarking LLMs for Translating Classical Chinese Poetry: Evaluating Adequacy, Fluency, and EleganceConference on Empirical Methods in Natural Language Processing (EMNLP)Andong Chen, Lianzhang Lou, Kehai Chen, et al.2025 · 18 citations
  54. Quality or Quantity? On Data Scale and Diversity in Adapting Large Language Models for Low-Resource TranslationConference on Machine Translation (WMT)Vivek Iyer; Bhavitvya Malik; Pavel Stepachev; Pinzhen Chen; Barry Haddow;, Alexandra Birch2024 · 17 citations
  55. Beyond Correlation: Interpretable Evaluation of Machine Translation MetricsStefano Perrella, Lorenzo Proietti, Pere-Lluís Huguet Cabot, et al.2024 · 15 citations
  56. Lost in Literalism: How Supervised Training Shapes Translationese in LLMsAnnual Meeting of the Association for Computational Linguistics (ACL)Yafu Li, Ronghao Zhang, Zhilin Wang, et al.2025 · 12 citations
  57. GrammaMT: Improving Machine Translation with Grammar-Informed In-Context LearningAnnual Meeting of the Association for Computational Linguistics (ACL)Rita Ramos, Everlyn Asiko Chimoto, Maartje Ter Hoeve, et al.2025 · 11 citations
  58. Large Language Models as Legal Translators of Arabic Legislation: Do ChatGPT and Gemini Care for Context and Terminology?Arabic Natural Language Processing Conference (ArabicNLP)Khadija Ait ElFqih, Johanna Monti2024 · 9 citations
  59. Pangu Ultra MoE: How to Train Your Big MoE on Ascend NPUsarXiv:2505.04519Yehui Tang, Yichun Yin, Yaoyuan Wang, et al.2025 · 8 citations
  60. Fine-tuning Large Language Models with Limited Data: A Survey and Practical GuideTransactions of the Association for Computational Linguistics (TACL)Marton Szep, Daniel Rueckert, Rüdiger von Eisenhart-Rothe, et al.2026 · 7 citations
  61. MPO: Multilingual Safety Alignment via Reward Gap OptimizationAnnual Meeting of the Association for Computational Linguistics (ACL)Weixiang Zhao, Yulin Hu, Yang Deng, et al.2025 · 7 citations
  62. The Translation Barrier Hypothesis: Multilingual Generation with Large Language Models Suffers from Implicit Translation FailureInternational Joint Conference on Natural Language Processing (IJCNLP)Niyati Bafna, Tianjian Li, Kenton Murray, et al.2025 · 7 citations
  63. ThatiAR: Subjectivity Detection in Arabic News SentencesProceedings of the International AAAI Conference on Web and Social MediaReem Suwaileh, Maram Hasanain, Fatema Hubail, et al.2024 · 7 citations
  64. ivrit.ai: A Comprehensive Dataset of Hebrew Speech for AI Research and DevelopmentYanir Marmor, Kinneret Misgav, Yair Lifshitz2023 · 7 citations
  65. Can LLMs Translate Cultural Nuance in Dialects? A Case Study on Lebanese ArabicWorkshop on NLP for Languages Using Arabic ScriptSilvana Yakhni, Ali Chehab2025 · 6 citations
  66. Test-Time Scaling of Reasoning Models for Machine TranslationConference of the European Chapter of the Association for Computational Linguistics (EACL)Zihao Li, Shaoxiong Ji, Jörg Tiedemann2026 · 5 citations
  67. Large Language Models as a Normalizer for Transliteration and Dialectal TranslationWorkshop on NLP for Similar Languages, Varieties and Dialects (VarDial)Md Mahfuz Ibn Alam, Antonios Anastasopoulos2025 · 4 citations
  68. Gender Disambiguation in Machine Translation: Diagnostic Evaluation in Decoder-Only ArchitecturesLanguage Resources and Evaluation Conference (LREC)Chiara Manna, Hosein Mohebbi, Afra Alishahi, et al.2026 · 3 citations
  69. Intern-S1-Pro: Scientific Multimodal Foundation Model at Trillion ScalearXiv:2603.25040Yicheng Zou, Dongsheng Zhu, Lin Zhu, et al.2026 · 3 citations
  70. Can ChatGPT capture swearing nuances? Evidence from translating Arabic oathsarXiv:2412.02466Mohammed Q. Shormani2024 · 3 citations
  71. From Nile Sands to Digital Hands: Machine Translation of Coptic TextsArabic Natural Language Processing Conference (ArabicNLP)Muhammed Saeed, Asim Mohamed, Mukhtar Mohamed, et al.2024 · 3 citations
  72. Domain Adaptation for Arabic Machine Translation: The Case of Financial TextsarXiv:2309.12863Emad A. Alghamdi, Jezia Zakraoui, Fares A. Abanmy2023 · 3 citations
  73. Culture-Aware Machine Translation in Large Language Models: Benchmarking and InvestigationAnnual Meeting of the Association for Computational Linguistics (ACL)Zekun Yuan, Yangfan Ye, Xiaocheng Feng, et al.2026 · 2 citations
  74. Remedy-R: Generative Reasoning for Machine Translation Evaluation without Error AnnotationsFindings of the Association for Computational LinguisticsShaomu Tan, Ryosuke Mitani, Ritvik Choudhary, et al.2026 · 2 citations
  75. State of the Art in Text Classification for South Slavic Languages: Fine-Tuning or Prompting?Shaping Multilingual, Multimodal AI for the Social Sciences and Humanities @ LRECTaja Kuzman Pungeršek, Peter Rupnik, Ivan Porupski, et al.2026 · 2 citations
  76. CUFE at NADI 2024 shared task: Fine-Tuning Llama-3 To Translate From Arabic Dialects To Modern Standard ArabicArabic Natural Language Processing Conference (ArabicNLP)Michael Ibrahim2024 · 2 citations
  77. Anchoring the Judge: Curriculum-Based Adaptation and Reference-Anchored MQM for LLM-Based Machine Translation of an Unseen Low-Resource Language - A Case of NupeWorkshop on Language Models for Low-Resource LanguagesUmar Baba Umar, Sulaimon Adebayo Bashir, Abdulmalik Danlami Mohammed2026 · 1 citation
  78. Context Volume Drives Performance: Tackling Domain Shift in Extremely Low-Resource Translation via RAGDavid Samuel Setiawan, Raphaël Merx, Jey Han Lau2026 · 1 citation
  79. How Important is ‘Perfect' English for Machine Translation Prompts?Findings of the Association for Computational LinguisticsPatrícia Schmidtová, Niyati Bafna, Seth Aycock, et al.2026 · 1 citation
  80. Learning from Contrasts: Synthesizing Reasoning Paths from Diverse Search TrajectoriesAnnual Meeting of the Association for Computational Linguistics (ACL)Peiyang Liu, Zhirui Chen, Xi Wang, et al.2026 · 1 citation
  81. Multi-Agent Orchestration for Terminology-Constrained Machine Translation in Industrial LocalizationAnnual Meeting of the Association for Computational Linguistics (ACL)Emanuele Di Rosa2026 · 1 citation
  82. NeoAMT: Neologism-Aware Agentic Machine Translation with Reinforcement LearningAnnual Meeting of the Association for Computational Linguistics (ACL)Zhongtao Miao, Kaiyan Zhao, Masaaki Nagata, et al.2026 · 1 citation
  83. VietMix: A Naturally-Occurring Parallel Corpus and Augmentation Framework for Vietnamese-English Code-Mixed Machine TranslationConference of the European Chapter of the Association for Computational Linguistics (EACL)Hieu Tran, Phuong-Anh Nguyen-Le, Huy Nghiem, et al.2026 · 1 citation
  84. What Makes LLMs Effective Sequential Recommenders? A Study on Preference Intensity and Temporal ContextAnnual Meeting of the Association for Computational Linguistics (ACL)Zhongyu Ouyang, Qianlong Wen, Chunhui Zhang, et al.2026 · 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 Single Model Ensemble Framework for Neural Machine Translation Using Pivot TranslationLanguage Resources and Evaluation Conference (LREC)Seokjin Oh, Keonwoong Noh, Woohwan Jung2026
  87. Attribute-Controlled Translation with Preference OptimizationFindings of the Association for Computational LinguisticsInigo Jauregi Unanue, Najmeh Sadoughi, Vimal Bhat, et al.2026
  88. CEMT:Controllable Element-Oriented Machine Translation via Structured Linguistic ReasoningFindings of the Association for Computational LinguisticsLingling Shi, Haoyu Jin, Ruiyu Fang, et al.2026
  89. Context-8: A Data Set for Evaluating Context Sensitivity in Machine TranslationLanguage Resources and Evaluation Conference (LREC)Dongyue Wang, Kyo Kageura2026
  90. DynamicFocalPO: Adaptive Focusing Strategy for Preference OptimizationFindings of the Association for Computational LinguisticsShu Zhou, Junan Chen, Rui Ling, et al.2026
  91. Evaluating Prompt Scope and Demonstration Similarity in Local LLM Machine TranslationarXiv:2607.26286Mihael Arcan2026
  92. Generalizable LLM Learning of Graph Synthetic Data with Post-training AlignmentFindings of the Association for Computational LinguisticsYizhuo Zhang, Heng Wang, Shangbin Feng, et al.2026
  93. Interlinear Glosses as a Multilingual Pivot for Machine Translation: An Updated Study on Turkish with Restricted ResourcesSIGUL Joint Workshop with ELE, EURALI, and DCLRL: Towards Inclusivity and Equality: Language Resources and Technologies for Under-Resourced and Endangered LanguagesVolkan Ozer, Shu Okabe, Alexander Fraser2026
  94. LASA: Language-Agnostic Semantic Alignment at the Semantic Bottleneck for LLM SafetyAnnual Meeting of the Association for Computational Linguistics (ACL)Junxiao Yang, Haoran Liu, Jinzhe Tu, et al.2026
  95. Layer-aware Dual-directional Modulation for Low-resource Machine TranslationFindings of the Association for Computational LinguisticsSiqi Zhang, Ran Song, Shuting Jiang, et al.2026
  96. Lexical and Syntactic Diversity: Still Lost in Machine Translation?Workshop on Style in GenAI-Translated Content (StyGenAI)Lise Volkart, Pierrette Bouillon2026
  97. Machine Translation for Low-Resource Languages through Monolingual Data and LLM: A Case Study of English-to-BasqueConference of the European Chapter of the Association for Computational Linguistics (EACL)Nam Luu, Aitor Soroa, German Rigau, et al.2026
  98. M²PO: Multi-Perspective Multi-Pair Preference Optimization for Machine TranslationAnnual Meeting of the Association for Computational Linguistics (ACL)Hao Wang, Linlong Xu, Heng Liu, et al.2026
  99. On the Use of LLMs for Specialised Terminology: A Good Alternative to Corpora?Annual Conference of the European Association for Machine Translation (EAMT)Joachim Minder, Guillaume Wisniewski, Natalie Kübler2026
  100. RouteLMT: Learned Sample Routing for Hybrid LLM Translation DeploymentAnnual Meeting of the Association for Computational Linguistics (ACL)Yingfeng Luo, Hongyu Liu, DingYang Lin, et al.2026

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