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Who cites Mark I-Cheng Chen

20,687 citations of their works from 16,629 papers of our library (of the 149,439 whose bibliographies we read) · 3,273 with a page here, the most cited first · page 17 of 33 · 1601–1700 · ← Mark I-Cheng Chen

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  1. LLaDA 1.5: Variance-Reduced Preference Optimization for Large Language Diffusion ModelsAnnual Meeting of the Association for Computational Linguistics (ACL)Fengqi Zhu, Rongzhen Wang, Shen Nie, et al.2026 · 49 citations
  2. Memory-R1: Enhancing Large Language Model Agents to Manage and Utilize Memories via Reinforcement LearningAnnual Meeting of the Association for Computational Linguistics (ACL)Sikuan Yan, Xiufeng Yang, Zuchao Huang, et al.2026 · 49 citations
  3. Pragmatics in the Era of Large Language Models: A Survey on Datasets, Evaluation, Opportunities and ChallengesAnnual Meeting of the Association for Computational Linguistics (ACL)Bolei Ma, Yuting Li, Wei Zhou, et al.2025 · 49 citations
  4. The Effectiveness of LLMs as Annotators: A Comparative Overview and Empirical Analysis of Direct RepresentationLanguage Resources and Evaluation Conference (LREC)Maja Pavlovic, Massimo Poesio2024 · 49 citations
  5. 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
  6. Word Embeddings Are Steers for Language ModelsAnnual Meeting of the Association for Computational Linguistics (ACL)Chi Han, Jialiang Xu, Manling Li, et al.2024 · 49 citations
  7. PanGu-Coder: Program Synthesis with Function-Level Language ModelingarXiv:2207.11280Fenia Christopoulou, Gerasimos Lampouras, Milan Gritta, et al.2022 · 49 citations
  8. Skywork-Reward-V2: Scaling Preference Data Curation via Human-AI SynergyarXiv:2507.01352Chris Yuhao Liu, Liang Zeng, Yuzhen Xiao, et al.2025 · 48 citations
  9. Attribute First, then Generate: Locally-attributable Grounded Text GenerationAnnual Meeting of the Association for Computational Linguistics (ACL)Aviv Slobodkin, Eran Hirsch, Arie Cattan, et al.2024 · 48 citations
  10. 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
  11. Puzzle Solving using Reasoning of Large Language Models: A SurveyConference on Empirical Methods in Natural Language Processing (EMNLP)Panagiotis Giadikiaroglou, Maria Lymperaiou, Giorgos Filandrianos, et al.2024 · 48 citations
  12. Linguistic ambiguity analysis in ChatGPTarXiv:2302.06426Miguel Ortega-Martin, Oscar Garcia-Sierra, Alfonso Ardoiz, et al.2023 · 48 citations
  13. 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
  14. Resolving Knowledge Conflicts in Large Language ModelsarXiv:2310.00935Yike Wang, Shangbin Feng, Heng Wang, et al.2023 · 48 citations
  15. ANLIzing the Adversarial Natural Language Inference DatasetSociety for Computation in Linguistics (SCiL)Adina Williams, Tristan Thrush, Douwe Kiela2022 · 48 citations
  16. Can Multiple-choice Questions Really Be Useful in Detecting the Abilities of LLMs?Language Resources and Evaluation Conference (LREC)Wangyue Li, Liangzhi Li, Tong Xiang, et al.2024 · 47 citations
  17. Getting the most out of your tokenizer for pre-training and domain adaptationarXiv:2402.01035Gautier Dagan, Gabriel Synnaeve, Baptiste Roziere2024 · 47 citations
  18. Long Context Compression with Activation BeaconarXiv:2401.03462Peitian Zhang, Zheng Liu, Shitao Xiao, et al.2024 · 47 citations
  19. Metaphor Understanding Challenge Dataset for LLMsAnnual Meeting of the Association for Computational Linguistics (ACL)Xiaoyu Tong, Rochelle Choenni, Martha Lewis, et al.2024 · 47 citations
  20. MixEval: Deriving Wisdom of the Crowd from LLM Benchmark MixturesConference on Neural Information Processing Systems (NeurIPS)Jinjie Ni, Fuzhao Xue, Xiang Yue, et al.2024 · 47 citations
  21. Parameter-Efficient Fine-Tuning Design SpacesarXiv:2301.01821Jiaao Chen, Aston Zhang, Xingjian Shi, et al.2023 · 47 citations
  22. Towards Mitigating Hallucination in Large Language Models via Self-ReflectionarXiv:2310.06271Ziwei Ji, Tiezheng Yu, Yan Xu, et al.2023 · 47 citations
  23. AssistantBench: Can Web Agents Solve Realistic and Time-Consuming Tasks?Conference on Empirical Methods in Natural Language Processing (EMNLP)Ori Yoran, Samuel Joseph Amouyal, Chaitanya Malaviya, et al.2024 · 46 citations
  24. From LLM to NMT: Advancing Low-Resource Machine Translation with ClaudearXiv:2404.13813Maxim Enis, Mark Hopkins2024 · 46 citations
  25. Language models scale reliably with over-training and on downstream tasksarXiv:2403.08540Samir Yitzhak Gadre, Georgios Smyrnis, Vaishaal Shankar, et al.2024 · 46 citations
  26. RAT: Retrieval Augmented Thoughts Elicit Context-Aware Reasoning in Long-Horizon GenerationarXiv:2403.05313Zihao Wang, Anji Liu, Haowei Lin, et al.2024 · 46 citations
  27. Scaling Laws with Vocabulary: Larger Models Deserve Larger VocabulariesarXiv:2407.13623Chaofan Tao, Qian Liu, Longxu Dou, et al.2024 · 46 citations
  28. Stable LM 2 1.6B Technical ReportarXiv:2402.17834Marco Bellagente, Jonathan Tow, Dakota Mahan, et al.2024 · 46 citations
  29. AlGhafa Evaluation Benchmark for Arabic Language ModelsArabic Natural Language Processing Conference (ArabicNLP)Ebtesam Almazrouei, Ruxandra Cojocaru, Michele Baldo, et al.2023 · 46 citations
  30. MathChat: Converse to Tackle Challenging Math Problems with LLM AgentsarXiv:2306.01337Yiran Wu; Feiran Jia; Shaokun Zhang; Hangyu Li; Erkang Zhu; Yue Wang; Yin Tat Lee; Richard Peng; Qingyun Wu;, Chi Wang2023 · 46 citations
  31. Agentic Reasoning: A Streamlined Framework for Enhancing LLM Reasoning with Agentic ToolsAnnual Meeting of the Association for Computational Linguistics (ACL)Junde Wu, Jiayuan Zhu, Yuyuan Liu, et al.2025 · 45 citations
  32. EuroLLM-9B: Technical ReportarXiv:2506.04079Pedro Henrique Martins, Joao Alves, Patrick Fernandes, et al.2025 · 45 citations
  33. Gemini Embedding: Generalizable Embeddings from GeminiarXiv:2503.07891Jinhyuk Lee, Feiyang Chen, Sahil Dua, et al.2025 · 45 citations
  34. CoCoMIC: Code Completion by Jointly Modeling In-file and Cross-file ContextLanguage Resources and Evaluation Conference (LREC)Yangruibo Ding, Zijian Wang, Wasi Ahmad, et al.2024 · 45 citations
  35. GLoRe: When, Where, and How to Improve LLM Reasoning via Global and Local RefinementsarXiv:2402.10963Alex Havrilla, Sharath Raparthy, Christoforus Nalmpantis, et al.2024 · 45 citations
  36. AfriSpeech-200: Pan-African Accented Speech Dataset for Clinical and General Domain ASRTransactions of the Association for Computational Linguistics (TACL)Tobi Olatunji, Tejumade Afonja, Aditya Yadavalli, et al.2023 · 45 citations
  37. Contrastive Chain-of-Thought PromptingarXiv:2311.09277Yew Ken Chia, Guizhen Chen, Luu Anh Tuan, et al.2023 · 45 citations
  38. DiscoPrompt: Path Prediction Prompt Tuning for Implicit Discourse Relation RecognitionFindings of the Association for Computational LinguisticsChunkit Chan, Xin Liu, Jiayang Cheng, et al.2023 · 45 citations
  39. QAmeleon: Multilingual QA with Only 5 ExamplesTransactions of the Association for Computational Linguistics (TACL)Priyanka Agrawal, Chris Alberti, Fantine Huot, et al.2023 · 45 citations
  40. Scaling Laws for Generative Mixed-Modal Language ModelsarXiv:2301.03728Armen Aghajanyan, Lili Yu, Alexis Conneau, et al.2023 · 45 citations
  41. AdaptThink: Reasoning Models Can Learn When to ThinkConference on Empirical Methods in Natural Language Processing (EMNLP)Jiajie Zhang, Nianyi Lin, Lei Hou, et al.2025 · 44 citations
  42. Augmenting Math Word Problems via Iterative Question ComposingProceedings of the AAAI Conference on Artificial IntelligenceHaoxiong Liu, Yifan Zhang, Yifan Luo, et al.2024 · 44 citations
  43. Enhancing the Reasoning Ability of Multimodal Large Language Models via Mixed Preference OptimizationarXiv:2411.10442Weiyun Wang, Zhe Chen, Wenhai Wang, et al.2024 · 44 citations
  44. HyperCLOVA X Technical ReportarXiv:2404.01954Kang Min Yoo, Jaegeun Han, Sookyo In, et al.2024 · 44 citations
  45. LLM Pruning and Distillation in Practice: The Minitron ApproacharXiv:2408.11796Sharath Turuvekere Sreenivas, Saurav Muralidharan, Raviraj Joshi, et al.2024 · 44 citations
  46. Long-Context Language Modeling with Parallel Context EncodingAnnual Meeting of the Association for Computational Linguistics (ACL)Howard Yen, Tianyu Gao, Danqi Chen2024 · 44 citations
  47. NVLM: Open Frontier-Class Multimodal LLMsarXiv:2409.11402Wenliang Dai, Nayeon Lee, Boxin Wang, et al.2024 · 44 citations
  48. Polysemy–-Evidence from Linguistics, Behavioral Science, and Contextualized Language ModelsComputational LinguisticsJanosch Haber, Massimo Poesio2024 · 44 citations
  49. Language Models Can Improve Event Prediction by Few-Shot Abductive ReasoningConference on Neural Information Processing Systems (NeurIPS)Xiaoming Shi, Siqiao Xue, Kangrui Wang, et al.2023 · 44 citations
  50. General-Reasoner: Advancing LLM Reasoning Across All DomainsConference on Neural Information Processing Systems (NeurIPS)Xueguang Ma, Qian Liu, Dongfu Jiang, et al.2025 · 43 citations
  51. Towards Thinking-Optimal Scaling of Test-Time Compute for LLM ReasoningConference on Neural Information Processing Systems (NeurIPS)Wenkai Yang, Shuming Ma, Yankai Lin, et al.2025 · 43 citations
  52. Forest-of-Thought: Scaling Test-Time Compute for Enhancing LLM ReasoningarXiv:2412.09078Zhenni Bi, Kai Han, Chuanjian Liu, et al.2024 · 43 citations
  53. Information Flow Routes: Automatically Interpreting Language Models at ScaleConference on Empirical Methods in Natural Language Processing (EMNLP)Javier Ferrando, Elena Voita2024 · 43 citations
  54. 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
  55. Large Multilingual Models Pivot Zero-Shot Multimodal Learning across LanguagesarXiv:2308.12038Jinyi Hu, Yuan Yao, Chongyi Wang, et al.2023 · 43 citations
  56. BIG5-CHAT: Shaping LLM Personalities Through Training on Human-Grounded DataAnnual Meeting of the Association for Computational Linguistics (ACL)Wenkai Li, Jiarui Liu, Andy Liu, et al.2025 · 42 citations
  57. Improving Chain-of-Thought Reasoning via Quasi-Symbolic AbstractionsAnnual Meeting of the Association for Computational Linguistics (ACL)Leonardo Ranaldi, Marco Valentino, Andre Freitas2025 · 42 citations
  58. FLIRT: Feedback Loop In-context Red TeamingConference on Empirical Methods in Natural Language Processing (EMNLP)Ninareh Mehrabi, Palash Goyal, Christophe Dupuy, et al.2024 · 42 citations
  59. Reka Core, Flash, and Edge: A Series of Powerful Multimodal Language ModelsarXiv:2404.12387Reka Team: Aitor Ormazabal, Che Zheng, Cyprien de Masson d'Autume, et al.2024 · 42 citations
  60. 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
  61. 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
  62. 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
  63. xCodeEval: A Large Scale Multilingual Multitask Benchmark for Code Understanding, Generation, Translation and RetrievalarXiv:2303.03004Mohammad Abdullah Matin Khan, M Saiful Bari, Xuan Long Do, et al.2023 · 42 citations
  64. Transcending Scaling Laws with 0.1% Extra ComputearXiv:2210.11399Yi Tay, Jason Wei, Hyung Won Chung, et al.2022 · 42 citations
  65. DeepResearch Bench: A Comprehensive Benchmark for Deep Research AgentsarXiv:2506.11763Mingxuan Du, Benfeng Xu, Chiwei Zhu, et al.2025 · 41 citations
  66. DeepSeek: Paradigm Shifts and Technical Evolution in Large AI ModelsarXiv:2507.09955Luolin Xiong, Haofen Wang, Xi Chen, et al.2025 · 41 citations
  67. Do Language Models Enjoy Their Own Stories? Prompting Large Language Models for Automatic Story EvaluationTransactions of the Association for Computational Linguistics (TACL)Cyril Chhun, Fabian M. Suchanek, Chloé Clavel2024 · 41 citations
  68. Speculative Knowledge Distillation: Bridging the Teacher-Student Gap Through Interleaved SamplingarXiv:2410.11325Wenda Xu, Rujun Han, Zifeng Wang, et al.2024 · 41 citations
  69. 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
  70. SALMON: Self-Alignment with Instructable Reward ModelsarXiv:2310.05910Zhiqing Sun, Yikang Shen, Hongxin Zhang, et al.2023 · 41 citations
  71. The MiniPile Challenge for Data-Efficient Language ModelsarXiv:2304.08442Jean Kaddour2023 · 41 citations
  72. SLING: Sino Linguistic Evaluation of Large Language ModelsConference on Empirical Methods in Natural Language Processing (EMNLP)Yixiao Song, Kalpesh Krishna, Rajesh Bhatt, et al.2022 · 41 citations
  73. A Systematic Survey of Automatic Prompt Optimization TechniquesConference on Empirical Methods in Natural Language Processing (EMNLP)Kiran Ramnath, Kang Zhou, Sheng Guan, et al.2025 · 40 citations
  74. FollowIR: Evaluating and Teaching Information Retrieval Models to Follow InstructionsConference of the North American Chapter of the Association for Computational Linguistics (NAACL)Orion Weller, Benjamin Chang, Sean MacAvaney, et al.2025 · 40 citations
  75. Towards Robust Mathematical ReasoningConference on Empirical Methods in Natural Language Processing (EMNLP)Thang Luong, Dawsen Hwang, Hoang H Nguyen, et al.2025 · 40 citations
  76. Conifer: Improving Complex Constrained Instruction-Following Ability of Large Language ModelsarXiv:2404.02823Haoran Sun, Lixin Liu, Junjie Li, et al.2024 · 40 citations
  77. Observational Scaling Laws and the Predictability of Language Model PerformancearXiv:2405.10938Yangjun Ruan, Chris J. Maddison, Tatsunori Hashimoto2024 · 40 citations
  78. How FaR Are Large Language Models From Agents with Theory-of-Mind?arXiv:2310.03051Pei Zhou, Aman Madaan, Srividya Pranavi Potharaju, et al.2023 · 40 citations
  79. PanGu-{\Sigma}: Towards Trillion Parameter Language Model with Sparse Heterogeneous ComputingarXiv:2303.10845Xiaozhe Ren, Pingyi Zhou, Xinfan Meng, et al.2023 · 40 citations
  80. Sociodemographic Bias in Language Models: A Survey and Forward PathWorkshop on Gender Bias in Natural Language ProcessingVipul Gupta, Pranav Narayanan Venkit, Shomir Wilson, et al.2023 · 40 citations
  81. 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
  82. ViDoRAG: Visual Document Retrieval-Augmented Generation via Dynamic Iterative Reasoning AgentsConference on Empirical Methods in Natural Language Processing (EMNLP)Qiuchen Wang, Ruixue Ding, Zehui Chen, et al.2025 · 39 citations
  83. InternLM-XComposer-2.5: A Versatile Large Vision Language Model Supporting Long-Contextual Input and OutputarXiv:2407.03320Pan Zhang, Xiaoyi Dong, Yuhang Zang, et al.2024 · 39 citations
  84. Learning to Edit: Aligning LLMs with Knowledge EditingAnnual Meeting of the Association for Computational Linguistics (ACL)Yuxin Jiang, Yufei Wang, Chuhan Wu, et al.2024 · 39 citations
  85. LitSearch: A Retrieval Benchmark for Scientific Literature SearchConference on Empirical Methods in Natural Language Processing (EMNLP)Anirudh Ajith, Mengzhou Xia, Alexis Chevalier, et al.2024 · 39 citations
  86. Multi-LogiEval: Towards Evaluating Multi-Step Logical Reasoning Ability of Large Language ModelsConference on Empirical Methods in Natural Language Processing (EMNLP)Nisarg Patel, Mohith Kulkarni, Mihir Parmar, et al.2024 · 39 citations
  87. Unveiling Linguistic Regions in Large Language ModelsAnnual Meeting of the Association for Computational Linguistics (ACL)Zhihao Zhang, Jun Zhao, Qi Zhang, et al.2024 · 39 citations
  88. Aligning Language Models with Preferences through f-divergence MinimizationarXiv:2302.08215Dongyoung Go, Tomasz Korbak, German Kruszewski, et al.2023 · 39 citations
  89. CulturalBench: A Robust, Diverse and Challenging Benchmark for Measuring LMs' Cultural Knowledge Through Human-AI Red-TeamingAnnual Meeting of the Association for Computational Linguistics (ACL)Yu Ying Chiu, Liwei Jiang, Bill Yuchen Lin, et al.2025 · 38 citations
  90. InstructMol: Multi-Modal Integration for Building a Versatile and Reliable Molecular Assistant in Drug DiscoveryInternational Conference on Computational Linguistics (COLING)He Cao, Zijing Liu, Xingyu Lu, et al.2025 · 38 citations
  91. Nemotron-H: A Family of Accurate and Efficient Hybrid Mamba-Transformer ModelsarXiv:2504.03624NVIDIA: Aaron Blakeman, Aarti Basant, Abhinav Khattar, et al.2025 · 38 citations
  92. Revisiting the Test-Time Scaling of o1-like Models: Do they Truly Possess Test-Time Scaling Capabilities?Annual Meeting of the Association for Computational Linguistics (ACL)Zhiyuan Zeng, Qinyuan Cheng, Zhangyue Yin, et al.2025 · 38 citations
  93. UFO: A UI-Focused Agent for Windows OS InteractionConference of the North American Chapter of the Association for Computational Linguistics (NAACL)Chaoyun Zhang, Liqun Li, Shilin He, et al.2025 · 38 citations
  94. Reasoning Abilities of Large Language Models: In-Depth Analysis on the Abstraction and Reasoning CorpusACM Transactions on Intelligent Systems and TechnologySeungpil Lee, Woochang Sim, Donghyeon Shin, et al.2024 · 38 citations
  95. Can Language Models Employ the Socratic Method? Experiments with Code DebuggingarXiv:2310.03210Erfan Al-Hossami, Razvan Bunescu, Justin Smith, et al.2023 · 38 citations
  96. 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
  97. Pragmatics in Language Grounding: Phenomena, Tasks, and Modeling ApproachesFindings of the Association for Computational LinguisticsDaniel Fried, Nicholas Tomlin, Jennifer Hu, et al.2023 · 38 citations
  98. SlimPajama-DC: Understanding Data Combinations for LLM TrainingarXiv:2309.10818Zhiqiang Shen, Tianhua Tao, Liqun Ma, et al.2023 · 38 citations
  99. Dynamic Cheatsheet: Test-Time Learning with Adaptive MemoryConference of the European Chapter of the Association for Computational Linguistics (EACL)Mirac Suzgun, Mert Yuksekgonul, Federico Bianchi, et al.2026 · 37 citations
  100. CheckEval: A reliable LLM-as-a-Judge framework for evaluating text generation using checklistsConference on Empirical Methods in Natural Language Processing (EMNLP)Yukyung Lee, JoongHoon Kim, Jaehee Kim, et al.2025 · 37 citations

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