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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 4 of 33 · 301–400 · ← Mark I-Cheng Chen

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  1. Parameter-Efficient Transfer Learning with Diff PruningAnnual Meeting of the Association for Computational Linguistics (ACL)Demi Guo, Alexander Rush, Yoon Kim2021 · 367 citations
  2. Unnatural Instructions: Tuning Language Models with (Almost) No Human LaborAnnual Meeting of the Association for Computational Linguistics (ACL)Or Honovich, Thomas Scialom, Omer Levy, et al.2023 · 366 citations
  3. Large Language Models Struggle to Learn Long-Tail KnowledgearXiv:2211.08411Nikhil Kandpal, Haikang Deng, Adam Roberts, et al.2022 · 366 citations
  4. VideoChat: Chat-Centric Video UnderstandingScience China Information SciencesKunChang Li, Yinan He, Yi Wang, et al.2023 · 365 citations
  5. Check Your Facts and Try Again: Improving Large Language Models with External Knowledge and Automated FeedbackarXiv:2302.12813Baolin Peng, Michel Galley, Pengcheng He, et al.2023 · 363 citations
  6. BeaverTails: Towards Improved Safety Alignment of LLM via a Human-Preference DatasetConference on Neural Information Processing Systems (NeurIPS)Jiaming Ji, Mickel Liu, Juntao Dai, et al.2023 · 362 citations
  7. Knowledgeable Prompt-tuning: Incorporating Knowledge into Prompt Verbalizer for Text ClassificationAnnual Meeting of the Association for Computational Linguistics (ACL)Shengding Hu, Ning Ding, Huadong Wang, et al.2022 · 362 citations
  8. ChatEval: Towards Better LLM-based Evaluators through Multi-Agent DebatearXiv:2308.07201Chi-Min Chan, Weize Chen, Yusheng Su, et al.2023 · 359 citations
  9. RARR: Researching and Revising What Language Models Say, Using Language ModelsAnnual Meeting of the Association for Computational Linguistics (ACL)Luyu Gao, Zhuyun Dai, Panupong Pasupat, et al.2023 · 359 citations
  10. Smarter, Better, Faster, Longer: A Modern Bidirectional Encoder for Fast, Memory Efficient, and Long Context Finetuning and InferencearXiv:2412.13663Benjamin Warner, Antoine Chaffin, Benjamin Clavié, et al.2024 · 358 citations
  11. Fine-tuning Aligned Language Models Compromises Safety, Even When Users Do Not Intend To!arXiv:2310.03693Xiangyu Qi, Yi Zeng, Tinghao Xie, et al.2023 · 355 citations
  12. Solving math word problems with process- and outcome-based feedbackarXiv:2211.14275Jonathan Uesato, Nate Kushman, Ramana Kumar, et al.2022 · 355 citations
  13. Query2doc: Query Expansion with Large Language ModelsConference on Empirical Methods in Natural Language Processing (EMNLP)Liang Wang, Nan Yang, Furu Wei2023 · 354 citations
  14. Towards Mitigating LLM Hallucination via Self ReflectionFindings of the Association for Computational LinguisticsZiwei Ji, Tiezheng Yu, Yan Xu, et al.2023 · 354 citations
  15. Faithful Chain-of-Thought ReasoningInternational Joint Conference on Natural Language Processing (IJCNLP)Qing Lyu, Shreya Havaldar, Adam Stein, et al.2023 · 353 citations
  16. Toxicity in chatgpt: Analyzing persona-assigned language modelsFindings of the Association for Computational LinguisticsAmeet Deshpande, Vishvak Murahari, Tanmay Rajpurohit, et al.2023 · 353 citations
  17. TinyLlama: An Open-Source Small Language ModelarXiv:2401.02385Peiyuan Zhang, Guangtao Zeng, Tianduo Wang, et al.2024 · 352 citations
  18. Symbolic Knowledge Distillation: from General Language Models to Commonsense ModelsConference of the North American Chapter of the Association for Computational Linguistics (NAACL)Peter West, Chandra Bhagavatula, Jack Hessel, et al.2022 · 349 citations
  19. Kimi K2: Open Agentic IntelligencearXiv:2507.20534Kimi Team, Yifan Bai, Yiping Bao, et al.2025 · 347 citations
  20. UL2: Unifying Language Learning ParadigmsarXiv:2205.05131Yi Tay, Mostafa Dehghani, Vinh Q. Tran, et al.2022 · 347 citations
  21. Visual Programming: Compositional visual reasoning without trainingIEEE Computer Society Conference on Computer Vision and Pattern RecognitionTanmay Gupta, Aniruddha Kembhavi2022 · 347 citations
  22. Transformer Feed-Forward Layers Build Predictions by Promoting Concepts in the Vocabulary SpaceConference on Empirical Methods in Natural Language Processing (EMNLP)Mor Geva, Avi Caciularu, Kevin Ro Wang, et al.2022 · 346 citations
  23. Complexity-Based Prompting for Multi-Step ReasoningarXiv:2210.00720Yao Fu, Hao Peng, Ashish Sabharwal, et al.2022 · 345 citations
  24. Large Language Models Empowered Agent-based Modeling and Simulation: A Survey and PerspectivesHumanities and Social Sciences CommunicationsChen Gao, Xiaochong Lan, Nian Li, et al.2023 · 344 citations
  25. MM-Vet: Evaluating Large Multimodal Models for Integrated CapabilitiesarXiv:2308.02490Weihao Yu, Zhengyuan Yang, Linjie Li, et al.2023 · 344 citations
  26. Teaching Small Language Models to ReasonAnnual Meeting of the Association for Computational Linguistics (ACL)Lucie Charlotte Magister, Jonathan Mallinson, Jakub Adamek, et al.2023 · 343 citations
  27. Are Emergent Abilities of Large Language Models a Mirage?Conference on Neural Information Processing Systems (NeurIPS)Rylan Schaeffer, Brando Miranda, Sanmi Koyejo2023 · 342 citations
  28. WARP: Word-level Adversarial ReProgrammingarXiv:2101.00121Karen Hambardzumyan, Hrant Khachatrian, Jonathan May2021 · 340 citations
  29. 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
  30. LLMLingua: Compressing Prompts for Accelerated Inference of Large Language ModelsConference on Empirical Methods in Natural Language Processing (EMNLP)Huiqiang Jiang, Qianhui Wu, Chin-Yew Lin, et al.2023 · 338 citations
  31. RLPrompt: Optimizing Discrete Text Prompts with Reinforcement LearningConference on Empirical Methods in Natural Language Processing (EMNLP)Mingkai Deng, Jianyu Wang, Cheng-Ping Hsieh, et al.2022 · 338 citations
  32. Textbooks Are All You Need II: phi-1.5 technical reportarXiv:2309.05463Yuanzhi Li, Sébastien Bubeck, Ronen Eldan, et al.2023 · 336 citations
  33. Neural Codec Language Models are Zero-Shot Text to Speech SynthesizersarXiv:2301.02111Chengyi Wang, Sanyuan Chen, Yu Wu, et al.2023 · 335 citations
  34. LLaMA-Adapter: Efficient Fine-tuning of Language Models with Zero-init AttentionarXiv:2303.16199Renrui Zhang, Jiaming Han, Chris Liu, et al.2023 · 333 citations
  35. Can large language models provide useful feedback on research papers? A large-scale empirical analysisarXiv:2310.01783Weixin Liang, Yuhui Zhang, Hancheng Cao, et al.2023 · 332 citations
  36. ERNIE 3.0: Large-scale Knowledge Enhanced Pre-training for Language Understanding and GenerationarXiv:2107.02137Yu Sun, Shuohuan Wang, Shikun Feng, et al.2021 · 332 citations
  37. HarmBench: A Standardized Evaluation Framework for Automated Red Teaming and Robust RefusalarXiv:2402.04249Mantas Mazeika, Long Phan, Xuwang Yin, et al.2024 · 330 citations
  38. Language Is Not All You Need: Aligning Perception with Language ModelsConference on Neural Information Processing Systems (NeurIPS)Shaohan Huang, Li Dong, Wenhui Wang, et al.2023 · 330 citations
  39. Visual ChatGPT: Talking, Drawing and Editing with Visual Foundation ModelsarXiv:2303.04671Chenfei Wu, Shengming Yin, Weizhen Qi, et al.2023 · 328 citations
  40. Discovering Language Model Behaviors with Model-Written EvaluationsarXiv:2212.09251Ethan Perez, Sam Ringer, Kamilė Lukošiūtė, et al.2022 · 328 citations
  41. Chameleon: Plug-and-Play Compositional Reasoning with Large Language ModelsConference on Neural Information Processing Systems (NeurIPS)Pan Lu, Baolin Peng, Hao Cheng, et al.2023 · 327 citations
  42. Faith and Fate: Limits of Transformers on CompositionalityConference on Neural Information Processing Systems (NeurIPS)Nouha Dziri, Ximing Lu, Melanie Sclar, et al.2023 · 327 citations
  43. CRITIC: Large Language Models Can Self-Correct with Tool-Interactive CritiquingarXiv:2305.11738Zhibin Gou, Zhihong Shao, Yeyun Gong, et al.2023 · 326 citations
  44. Scaling Laws for Reward Model OveroptimizationarXiv:2210.10760Leo Gao, John Schulman, Jacob Hilton2022 · 323 citations
  45. Text and Code Embeddings by Contrastive Pre-TrainingarXiv:2201.10005Arvind Neelakantan, Tao Xu, Raul Puri, et al.2022 · 323 citations
  46. Carbon Emissions and Large Neural Network TrainingarXiv:2104.10350David Patterson, Joseph Gonzalez, Quoc Le, et al.2021 · 323 citations
  47. 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
  48. Mitigating Object Hallucinations in Large Vision-Language Models through Visual Contrastive DecodingIEEE Computer Society Conference on Computer Vision and Pattern RecognitionSicong Leng, Hang Zhang, Guanzheng Chen, et al.2023 · 322 citations
  49. MM-LLMs: Recent Advances in MultiModal Large Language ModelsFindings of the Association for Computational LinguisticsDuzhen Zhang, Yahan Yu, Jiahua Dong, et al.2024 · 320 citations
  50. How many data points is a prompt worth?Conference of the North American Chapter of the Association for Computational Linguistics (NAACL)Teven Le Scao, Alexander Rush2021 · 320 citations
  51. Self-collaboration Code Generation via ChatGPTACM Transactions on Software Engineering and MethodologyYihong Dong; Xue Jiang; Zhi Jin;, Ge Li2023 · 319 citations
  52. GIT: A Generative Image-to-text Transformer for Vision and LanguagearXiv:2205.14100Jianfeng Wang, Zhengyuan Yang, Xiaowei Hu, et al.2022 · 319 citations
  53. How Far Can Camels Go? Exploring the State of Instruction Tuning on Open ResourcesConference on Neural Information Processing Systems (NeurIPS)Yizhong Wang, Hamish Ivison, Pradeep Dasigi, et al.2023 · 317 citations
  54. WANLI: Worker and AI Collaboration for Natural Language Inference Dataset CreationarXiv:2201.05955Alisa Liu, Swabha Swayamdipta, Noah A. Smith, et al.2022 · 317 citations
  55. MEDITRON-70B: Scaling Medical Pretraining for Large Language ModelsarXiv:2311.16079Zeming Chen, Alejandro Hernandez Cano, Angelika Romanou, et al.2023 · 315 citations
  56. Flow Straight and Fast: Learning to Generate and Transfer Data with Rectified FlowarXiv:2209.03003Xingchao Liu, Chengyue Gong, Qiang Liu2022 · 315 citations
  57. Hallucination is Inevitable: An Innate Limitation of Large Language ModelsarXiv:2401.11817Ziwei Xu, Sanjay Jain, Mohan Kankanhalli2024 · 312 citations
  58. The Power of Noise: Redefining Retrieval for RAG SystemsInternational ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR)Florin Cuconasu, Giovanni Trappolini, Federico Siciliano, et al.2024 · 312 citations
  59. From Pretraining Data to Language Models to Downstream Tasks: Tracking the Trails of Political Biases Leading to Unfair NLP ModelsAnnual Meeting of the Association for Computational Linguistics (ACL)Shangbin Feng, Chan Young Park, Yuhan Liu, et al.2023 · 311 citations
  60. The Dawn of LMMs: Preliminary Explorations with GPT-4V(ision)arXiv:2309.17421Zhengyuan Yang, Linjie Li, Kevin Lin, et al.2023 · 311 citations
  61. Paraphrasing evades detectors of AI-generated text, but retrieval is an effective defenseConference on Neural Information Processing Systems (NeurIPS)Kalpesh Krishna, Yixiao Song, Marzena Karpinska, et al.2023 · 310 citations
  62. Social Simulacra: Creating Populated Prototypes for Social Computing SystemsarXiv:2208.04024Joon Sung Park, Lindsay Popowski, Carrie J. Cai, et al.2022 · 310 citations
  63. ZeRO-Offload: Democratizing Billion-Scale Model TrainingarXiv:2101.06840Jie Ren, Samyam Rajbhandari, Reza Yazdani Aminabadi, et al.2021 · 309 citations
  64. Multimodal Chain-of-Thought Reasoning in Language ModelsarXiv:2302.00923Zhuosheng Zhang, Aston Zhang, Mu Li, et al.2023 · 308 citations
  65. AugGPT: Leveraging ChatGPT for Text Data AugmentationIEEE Transactions on Big DataHaixing Dai; Zhengliang Liu; Wenxiong Liao; Xiaoke Huang; Yihan Cao; Zihao Wu; Lin Zhao; Shaochen Xu; Wei Liu; Ninghao Liu; Sheng Li; Dajiang Zhu; Hongmin Cai; Lichao Sun; Quanzheng Li; Dinggang Shen; Tianming Liu;, Xiang Li2023 · 306 citations
  66. Can AI-Generated Text be Reliably Detected?arXiv:2303.11156Vinu Sankar Sadasivan, Aounon Kumar, Sriram Balasubramanian, et al.2023 · 306 citations
  67. SPoT: Better Frozen Model Adaptation through Soft Prompt TransferAnnual Meeting of the Association for Computational Linguistics (ACL)Tu Vu, Brian Lester, Noah Constant, et al.2022 · 306 citations
  68. Large Language Models are Better Reasoners with Self-VerificationFindings of the Association for Computational LinguisticsYixuan Weng, Minjun Zhu, Fei Xia, et al.2023 · 304 citations
  69. Multi-step Jailbreaking Privacy Attacks on ChatGPTFindings of the Association for Computational LinguisticsHaoran Li, Dadi Guo, Wei Fan, et al.2023 · 304 citations
  70. ZeroQuant: Efficient and Affordable Post-Training Quantization for Large-Scale TransformersConference on Neural Information Processing Systems (NeurIPS)Zhewei Yao, Reza Yazdani Aminabadi, Minjia Zhang, et al.2022 · 304 citations
  71. Character-LLM: A Trainable Agent for Role-PlayingConference on Empirical Methods in Natural Language Processing (EMNLP)Yunfan Shao, Linyang Li, Junqi Dai, et al.2023 · 303 citations
  72. Socratic Models: Composing Zero-Shot Multimodal Reasoning with LanguagearXiv:2204.00598Andy Zeng, Maria Attarian, Brian Ichter, et al.2022 · 302 citations
  73. InternLM2 Technical ReportarXiv:2403.17297Zheng Cai, Maosong Cao, Haojiong Chen, et al.2024 · 301 citations
  74. Retrieval-Augmented Generation for AI-Generated Content: A SurveyarXiv:2402.19473Penghao Zhao, Hailin Zhang, Qinhan Yu, et al.2024 · 301 citations
  75. Challenges and Applications of Large Language ModelsarXiv:2307.10169Jean Kaddour, Joshua Harris, Maximilian Mozes, et al.2023 · 301 citations
  76. Canine: Pre-training an Efficient Tokenization-Free Encoder for Language RepresentationTransactions of the Association for Computational Linguistics (TACL)Jonathan H. Clark, Dan Garrette, Iulia Turc, et al.2022 · 301 citations
  77. Large Language Models are Effective Text Rankers with Pairwise Ranking PromptingFindings of the Association for Computational LinguisticsZhen Qin, Rolf Jagerman, Kai Hui, et al.2024 · 300 citations
  78. Want To Reduce Labeling Cost? GPT-3 Can HelpFindings of the Association for Computational LinguisticsShuohang Wang, Yang Liu, Yichong Xu, et al.2021 · 300 citations
  79. On-Policy Distillation of Language Models: Learning from Self-Generated MistakesarXiv:2306.13649Rishabh Agarwal, Nino Vieillard, Yongchao Zhou, et al.2023 · 299 citations
  80. Entity-Based Knowledge Conflicts in Question AnsweringConference on Empirical Methods in Natural Language Processing (EMNLP)Shayne Longpre, Kartik Perisetla, Anthony Chen, et al.2021 · 298 citations
  81. 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
  82. CodeRL: Mastering Code Generation through Pretrained Models and Deep Reinforcement LearningConference on Neural Information Processing Systems (NeurIPS)Hung Le, Yue Wang, Akhilesh Deepak Gotmare, et al.2022 · 297 citations
  83. AdapterDrop: On the Efficiency of Adapters in TransformersConference on Empirical Methods in Natural Language Processing (EMNLP)Andreas Rücklé, Gregor Geigle, Max Glockner, et al.2021 · 296 citations
  84. MAmmoTH: Building Math Generalist Models through Hybrid Instruction TuningarXiv:2309.05653Xiang Yue, Xingwei Qu, Ge Zhang, et al.2023 · 295 citations
  85. Can language models learn from explanations in context?Findings of the Association for Computational LinguisticsAndrew Lampinen, Ishita Dasgupta, Stephanie Chan, et al.2022 · 295 citations
  86. Prompting Large Language Model for Machine Translation: A Case StudyarXiv:2301.07069Biao Zhang, Barry Haddow, Alexandra Birch2023 · 294 citations
  87. Text Classification via Large Language ModelsFindings of the Association for Computational LinguisticsXiaofei Sun, Xiaoya Li, Jiwei Li, et al.2023 · 292 citations
  88. Get Your Vitamin C! Robust Fact Verification with Contrastive EvidenceConference of the North American Chapter of the Association for Computational Linguistics (NAACL)Tal Schuster, Adam Fisch, Regina Barzilay2021 · 290 citations
  89. A Review of Large Language Models and Autonomous Agents in ChemistryarXiv:2407.01603Mayk Caldas Ramos, Christopher J. Collison, Andrew D. White2024 · 288 citations
  90. Large Language Model based Multi-Agents: A Survey of Progress and ChallengesarXiv:2402.01680Taicheng Guo, Xiuying Chen, Yaqi Wang, et al.2024 · 288 citations
  91. From Words to Watts: Benchmarking the Energy Costs of Large Language Model InferencearXiv:2310.03003Siddharth Samsi, Dan Zhao, Joseph McDonald, et al.2023 · 288 citations
  92. Expanding Performance Boundaries of Open-Source Multimodal Models with Model, Data, and Test-Time ScalingarXiv:2412.05271Zhe Chen, Weiyun Wang, Yue Cao, et al.2024 · 287 citations
  93. API-Bank: A Comprehensive Benchmark for Tool-Augmented LLMsConference on Empirical Methods in Natural Language Processing (EMNLP)Minghao Li, Yingxiu Zhao, Bowen Yu, et al.2023 · 286 citations
  94. Llemma: An Open Language Model For MathematicsarXiv:2310.10631Zhangir Azerbayev, Hailey Schoelkopf, Keiran Paster, et al.2023 · 286 citations
  95. An Explanation of In-context Learning as Implicit Bayesian InferencearXiv:2111.02080Sang Michael Xie, Aditi Raghunathan, Percy Liang, et al.2021 · 286 citations
  96. DSPy: Compiling Declarative Language Model Calls into Self-Improving PipelinesarXiv:2310.03714Omar Khattab, Arnav Singhvi, Paridhi Maheshwari, et al.2023 · 285 citations
  97. Larger language models do in-context learning differentlyarXiv:2303.03846Jerry Wei, Jason Wei, Yi Tay, et al.2023 · 285 citations
  98. MEGA: Multilingual Evaluation of Generative AIarXiv:2303.12528Kabir Ahuja, Harshita Diddee, Rishav Hada, et al.2023 · 285 citations
  99. 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
  100. Generate rather than Retrieve: Large Language Models are Strong Context GeneratorsarXiv:2209.10063Wenhao Yu, Dan Iter, Shuohang Wang, et al.2022 · 281 citations

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