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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 15 of 33 · 1401–1500 · ← Mark I-Cheng Chen

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  1. Towards Safer Large Language Models through Machine UnlearningFindings of the Association for Computational LinguisticsZheyuan Liu, Guangyao Dou, Zhaoxuan Tan, et al.2024 · 72 citations
  2. Chain-of-Thought Hub: A Continuous Effort to Measure Large Language Models' Reasoning PerformancearXiv:2305.17306Yao Fu, Litu Ou, Mingyu Chen, et al.2023 · 72 citations
  3. Skeleton-of-Thought: Prompting LLMs for Efficient Parallel GenerationarXiv:2307.15337Xuefei Ning, Zinan Lin, Zixuan Zhou, et al.2023 · 72 citations
  4. Unveiling the Implicit Toxicity in Large Language ModelsConference on Empirical Methods in Natural Language Processing (EMNLP)Jiaxin Wen, Pei Ke, Hao Sun, et al.2023 · 72 citations
  5. Few-Shot Semantic Parsing with Language Models Trained on CodeConference of the North American Chapter of the Association for Computational Linguistics (NAACL)Richard Shin, Benjamin Van Durme2022 · 72 citations
  6. InPars: Data Augmentation for Information Retrieval using Large Language ModelsarXiv:2202.05144Luiz Bonifacio, Hugo Abonizio, Marzieh Fadaee, et al.2022 · 72 citations
  7. The Ghost in the Machine has an American accent: value conflict in GPT-3arXiv:2203.07785Rebecca L Johnson, Giada Pistilli, Natalia Menedez-Gonzalez, et al.2022 · 72 citations
  8. Transformer Grammars: Augmenting Transformer Language Models with Syntactic Inductive Biases at ScaleTransactions of the Association for Computational Linguistics (TACL)Laurent Sartran, Samuel Barrett, Adhiguna Kuncoro, et al.2022 · 72 citations
  9. Seed-TTS: A Family of High-Quality Versatile Speech Generation ModelsarXiv:2406.02430Philip Anastassiou, Jiawei Chen, Jitong Chen, et al.2024 · 71 citations
  10. The Unreasonable Ineffectiveness of the Deeper LayersarXiv:2403.17887Andrey Gromov, Kushal Tirumala, Hassan Shapourian, et al.2024 · 71 citations
  11. Knowledge-Augmented Reasoning Distillation for Small Language Models in Knowledge-Intensive TasksConference on Neural Information Processing Systems (NeurIPS)Minki Kang, Seanie Lee, Jinheon Baek, et al.2023 · 71 citations
  12. Entailer: Answering Questions with Faithful and Truthful Chains of ReasoningConference on Empirical Methods in Natural Language Processing (EMNLP)Oyvind Tafjord, Bhavana Dalvi Mishra, Peter Clark2022 · 71 citations
  13. The SIGMORPHON 2022 Shared Task on Morpheme SegmentationKhuyagbaatar Batsuren, Gabor Bella, Aryaman Arora2022 · 71 citations
  14. 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
  15. Aligning Large and Small Language Models via Chain-of-Thought ReasoningConference of the European Chapter of the Association for Computational Linguistics (EACL)Leonardo Ranaldi, Andre Freitas2024 · 70 citations
  16. Language Models as Inductive ReasonersConference of the European Chapter of the Association for Computational Linguistics (EACL)Zonglin Yang, Li Dong, Xinya Du, et al.2024 · 70 citations
  17. Scaling Large Language Model-based Multi-Agent CollaborationarXiv:2406.07155Chen Qian, Zihao Xie, YiFei Wang, et al.2024 · 70 citations
  18. Tug-of-War between Knowledge: Exploring and Resolving Knowledge Conflicts in Retrieval-Augmented Language ModelsLanguage Resources and Evaluation Conference (LREC)Zhuoran Jin, Pengfei Cao, Yubo Chen, et al.2024 · 70 citations
  19. ClinicalGPT: Large Language Models Finetuned with Diverse Medical Data and Comprehensive EvaluationarXiv:2306.09968Guangyu Wang, Guoxing Yang, Zongxin Du, et al.2023 · 70 citations
  20. Mixture-of-Experts Meets Instruction Tuning:A Winning Combination for Large Language ModelsarXiv:2305.14705Sheng Shen, Le Hou, Yanqi Zhou, et al.2023 · 70 citations
  21. Kevin: Multi-Turn RL for Generating CUDA KernelsarXiv 2025Carlo Baronio, Pietro Marsella, Ben Pan, et al.2025 · 69 citations
  22. Aligner: Efficient Alignment by Learning to CorrectConference on Neural Information Processing Systems (NeurIPS)Jiaming Ji, Boyuan Chen, Hantao Lou, et al.2024 · 69 citations
  23. Sensitivity, Performance, Robustness: Deconstructing the Effect of Sociodemographic PromptingConference of the European Chapter of the Association for Computational Linguistics (EACL)Tilman Beck, Hendrik Schuff, Anne Lauscher, et al.2024 · 69 citations
  24. Execution-Based Evaluation for Open-Domain Code GenerationFindings of the Association for Computational LinguisticsZhiruo Wang, Shuyan Zhou, Daniel Fried, et al.2023 · 69 citations
  25. NormBank: A Knowledge Bank of Situational Social NormsAnnual Meeting of the Association for Computational Linguistics (ACL)Caleb Ziems, Jane Dwivedi-Yu, Yi-Chia Wang, et al.2023 · 69 citations
  26. Pushing Mixture of Experts to the Limit: Extremely Parameter Efficient MoE for Instruction TuningarXiv:2309.05444Ted Zadouri, Ahmet Ustun, Arash Ahmadian, et al.2023 · 69 citations
  27. It's All in the Heads: Using Attention Heads as a Baseline for Cross-Lingual Transfer in Commonsense ReasoningFindings of the Association for Computational LinguisticsAlexey Tikhonov, Max Ryabinin2021 · 69 citations
  28. The Turking Test: Can Language Models Understand Instructions?arXiv:2010.11982Avia Efrat, Omer Levy2020 · 69 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. Competitive Programming with Large Reasoning ModelsarXiv:2502.06807OpenAI: Ahmed El-Kishky, Alexander Wei, Andre Saraiva, et al.2025 · 68 citations
  31. Learning to Reason under Off-Policy GuidanceConference on Neural Information Processing Systems (NeurIPS)Jianhao Yan, Yafu Li, Zican Hu, et al.2025 · 68 citations
  32. MAC-SQL: A Multi-Agent Collaborative Framework for Text-to-SQLInternational Conference on Computational Linguistics (COLING)Bing Wang, Changyu Ren, Jian Yang, et al.2025 · 68 citations
  33. VAPO: Efficient and Reliable Reinforcement Learning for Advanced Reasoning TasksarXiv:2504.05118Yu Yue, Yufeng Yuan, Qiying Yu, et al.2025 · 68 citations
  34. A Thorough Examination of Decoding Methods in the Era of LLMsConference on Empirical Methods in Natural Language Processing (EMNLP)Chufan Shi, Haoran Yang, Deng Cai, et al.2024 · 68 citations
  35. 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
  36. MagicPIG: LSH Sampling for Efficient LLM GenerationarXiv:2410.16179Zhuoming Chen, Ranajoy Sadhukhan, Zihao Ye, et al.2024 · 68 citations
  37. VIEScore: Towards Explainable Metrics for Conditional Image Synthesis EvaluationAnnual Meeting of the Association for Computational Linguistics (ACL)Max Ku, Dongfu Jiang, Cong Wei, et al.2024 · 68 citations
  38. Branch-Solve-Merge Improves Large Language Model Evaluation and GenerationarXiv:2310.15123Swarnadeep Saha, Omer Levy, Asli Celikyilmaz, et al.2023 · 68 citations
  39. Contrastive Decoding Improves Reasoning in Large Language ModelsarXiv:2309.09117Sean O'Brien, Mike Lewis2023 · 68 citations
  40. Preventing Generation of Verbatim Memorization in Language Models Gives a False Sense of PrivacyInternational Natural Language Generation Conference (INLG)Daphne Ippolito, Florian Tramer, Milad Nasr, et al.2023 · 68 citations
  41. Machine Generation and Detection of Arabic Manipulated and Fake NewsArabic Natural Language Processing Workshop (WANLP)El Moatez Billah Nagoudi, AbdelRahim Elmadany, Muhammad Abdul-Mageed, et al.2020 · 68 citations
  42. Goedel-Prover-V2: Scaling Formal Theorem Proving with Scaffolded Data Synthesis and Self-CorrectionarXiv:2508.03613Yong Lin, Shange Tang, Bohan Lyu, et al.2025 · 67 citations
  43. Seed1.5-VL Technical ReportarXiv:2505.07062Dong Guo, Faming Wu, Feida Zhu, et al.2025 · 67 citations
  44. ThinkPrune: Pruning Long Chain-of-Thought of LLMs via Reinforcement LearningarXiv:2504.01296Bairu Hou, Yang Zhang, Jiabao Ji, et al.2025 · 67 citations
  45. Buffer of Thoughts: Thought-Augmented Reasoning with Large Language ModelsConference on Neural Information Processing Systems (NeurIPS)Ling Yang, Zhaochen Yu, Tianjun Zhang, et al.2024 · 67 citations
  46. FLUX: Fast Software-based Communication Overlap On GPUs Through Kernel FusionarXiv:2406.06858Li-Wen Chang, Wenlei Bao, Qi Hou, et al.2024 · 67 citations
  47. Model Editing Harms General Abilities of Large Language Models: Regularization to the RescueConference on Empirical Methods in Natural Language Processing (EMNLP)Jia-Chen Gu, Hao-Xiang Xu, Jun-Yu Ma, et al.2024 · 67 citations
  48. MT-Eval: A Multi-Turn Capabilities Evaluation Benchmark for Large Language ModelsConference on Empirical Methods in Natural Language Processing (EMNLP)Wai-Chung Kwan, Xingshan Zeng, Yuxin Jiang, et al.2024 · 67 citations
  49. On the Effects of Data Scale on UI Control AgentsConference on Neural Information Processing Systems (NeurIPS)Wei Li, William Bishop, Alice Li, et al.2024 · 67 citations
  50. ArAIEval Shared Task: Persuasion Techniques and Disinformation Detection in Arabic TextArabic Natural Language Processing Conference (ArabicNLP)Maram Hasanain, Firoj Alam, Hamdy Mubarak, et al.2023 · 67 citations
  51. CMATH: Can Your Language Model Pass Chinese Elementary School Math Test?arXiv:2306.16636Tianwen Wei, Jian Luan, Wei Liu, et al.2023 · 67 citations
  52. Crawling the Internal Knowledge-Base of Language ModelsFindings of the Association for Computational LinguisticsRoi Cohen, Mor Geva, Jonathan Berant, et al.2023 · 67 citations
  53. What Algorithms can Transformers Learn? A Study in Length GeneralizationarXiv:2310.16028Hattie Zhou, Arwen Bradley, Etai Littwin, et al.2023 · 67 citations
  54. Learning by Distilling ContextarXiv:2209.15189Charlie Snell, Dan Klein, Ruiqi Zhong2022 · 67 citations
  55. Kimi K2.5: Visual Agentic IntelligencearXiv:2602.02276Kimi Team, Tongtong Bai, Yifan Bai, et al.2026 · 66 citations
  56. Assessing the Brittleness of Safety Alignment via Pruning and Low-Rank ModificationsarXiv:2402.05162Boyi Wei, Kaixuan Huang, Yangsibo Huang, et al.2024 · 66 citations
  57. C3oT: Generating Shorter Chain-of-Thought without Compromising EffectivenessProceedings of the AAAI Conference on Artificial IntelligenceYu Kang, Xianghui Sun, Liangyu Chen, et al.2024 · 66 citations
  58. Knowledge of Knowledge: Exploring Known-Unknowns Uncertainty with Large Language ModelsFindings of the Association for Computational LinguisticsAlfonso Amayuelas, Kyle Wong, Liangming Pan, et al.2024 · 66 citations
  59. ARB: Advanced Reasoning Benchmark for Large Language ModelsarXiv:2307.13692Tomohiro Sawada, Daniel Paleka, Alexander Havrilla, et al.2023 · 66 citations
  60. CREPE: Open-Domain Question Answering with False PresuppositionsXinyan Yu, Sewon Min, Luke Zettlemoyer, et al.2023 · 66 citations
  61. Routing to the Expert: Efficient Reward-guided Ensemble of Large Language ModelsarXiv:2311.08692Keming Lu, Hongyi Yuan, Runji Lin, et al.2023 · 66 citations
  62. Inference-Time Scaling for Generalist Reward ModelingarXiv:2504.02495Zijun Liu, Peiyi Wang, Runxin Xu, et al.2025 · 65 citations
  63. MAIN-RAG: Multi-Agent Filtering Retrieval-Augmented GenerationAnnual Meeting of the Association for Computational Linguistics (ACL)Chia-Yuan Chang, Zhimeng Jiang, Vineeth Rakesh, et al.2025 · 65 citations
  64. MedXpertQA: Benchmarking Expert-Level Medical Reasoning and UnderstandingarXiv:2501.18362Yuxin Zuo, Shang Qu, Yifei Li, et al.2025 · 65 citations
  65. 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
  66. Synthetic Data (Almost) from Scratch: Generalized Instruction Tuning for Language ModelsarXiv:2402.13064Haoran Li, Qingxiu Dong, Zhengyang Tang, et al.2024 · 65 citations
  67. 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
  68. A Causal Framework to Quantify the Robustness of Mathematical Reasoning with Language ModelsAnnual Meeting of the Association for Computational Linguistics (ACL)Alessandro Stolfo, Zhijing Jin, Kumar Shridhar, et al.2023 · 65 citations
  69. Goat: Fine-tuned LLaMA Outperforms GPT-4 on Arithmetic TasksarXiv:2305.14201Tiedong Liu, Bryan Kian Hsiang Low2023 · 65 citations
  70. A Comprehensive Survey on Long Context Language ModelingarXiv:2503.17407Jiaheng Liu, Dawei Zhu, Zhiqi Bai, et al.2025 · 64 citations
  71. CoT-Valve: Length-Compressible Chain-of-Thought TuningAnnual Meeting of the Association for Computational Linguistics (ACL)Xinyin Ma, Guangnian Wan, Runpeng Yu, et al.2025 · 64 citations
  72. Layer by Layer: Uncovering Hidden Representations in Language ModelsarXiv:2502.02013Oscar Skean, Md Rifat Arefin, Dan Zhao, et al.2025 · 64 citations
  73. Phi-4-reasoning Technical ReportarXiv:2504.21318Marah Abdin, Sahaj Agarwal, Ahmed Awadallah, et al.2025 · 64 citations
  74. SpiRit-LM: Interleaved Spoken and Written Language ModelTransactions of the Association for Computational Linguistics (TACL)Tu Anh Nguyen, Benjamin Muller, Bokai Yu, et al.2025 · 64 citations
  75. SWE-RL: Advancing LLM Reasoning via Reinforcement Learning on Open Software EvolutionConference on Neural Information Processing Systems (NeurIPS)Yuxiang Wei, Olivier Duchenne, Jade Copet, et al.2025 · 64 citations
  76. 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
  77. 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
  78. CValues: Measuring the Values of Chinese Large Language Models from Safety to ResponsibilityarXiv:2307.09705Guohai Xu, Jiayi Liu, Ming Yan, et al.2023 · 64 citations
  79. Fairness-guided Few-shot Prompting for Large Language ModelsarXiv:2303.13217Huan Ma, Changqing Zhang, Yatao Bian, et al.2023 · 64 citations
  80. Learning From Mistakes Makes LLM Better ReasonerarXiv:2310.20689Shengnan An, Zexiong Ma, Zeqi Lin, et al.2023 · 64 citations
  81. Linear Representations of Sentiment in Large Language ModelsarXiv:2310.15154Curt Tigges, Oskar John Hollinsworth, Atticus Geiger, et al.2023 · 64 citations
  82. NLPeer: A Unified Resource for the Computational Study of Peer ReviewAnnual Meeting of the Association for Computational Linguistics (ACL)Nils Dycke, Ilia Kuznetsov, Iryna Gurevych2023 · 64 citations
  83. Monitoring Reasoning Models for Misbehavior and the Risks of Promoting ObfuscationarXiv:2503.11926Bowen Baker, Joost Huizinga, Leo Gao, et al.2025 · 63 citations
  84. PRMBench: A Fine-grained and Challenging Benchmark for Process-Level Reward ModelsAnnual Meeting of the Association for Computational Linguistics (ACL)Mingyang Song, Zhaochen Su, Xiaoye Qu, et al.2025 · 63 citations
  85. Reasoning with Exploration: An Entropy PerspectivearXiv:2506.14758Daixuan Cheng, Shaohan Huang, Xuekai Zhu, et al.2025 · 63 citations
  86. What Did I Do Wrong? Quantifying LLMs' Sensitivity and Consistency to Prompt EngineeringConference of the North American Chapter of the Association for Computational Linguistics (NAACL)Federico Errica, Davide Sanvito, Giuseppe Siracusano, et al.2025 · 63 citations
  87. Revolutionizing Finance with LLMs: An Overview of Applications and InsightsarXiv:2401.11641Huaqin Zhao, Zhengliang Liu, Zihao Wu, et al.2024 · 63 citations
  88. Self-Distillation Bridges Distribution Gap in Language Model Fine-TuningAnnual Meeting of the Association for Computational Linguistics (ACL)Zhaorui Yang, Tianyu Pang, Haozhe Feng, et al.2024 · 63 citations
  89. VinePPO: Refining Credit Assignment in RL Training of LLMsarXiv:2410.01679Amirhossein Kazemnejad, Milad Aghajohari, Eva Portelance, et al.2024 · 63 citations
  90. Exploring the Benefits of Training Expert Language Models over Instruction TuningarXiv:2302.03202Joel Jang, Seungone Kim, Seonghyeon Ye, et al.2023 · 63 citations
  91. Large Language Model Routing with Benchmark DatasetsarXiv:2309.15789Tal Shnitzer, Anthony Ou, Mirian Silva, et al.2023 · 63 citations
  92. Natural Language to Code Generation in Interactive Data Science NotebooksAnnual Meeting of the Association for Computational Linguistics (ACL)Pengcheng Yin, Wen-Ding Li, Kefan Xiao, et al.2023 · 63 citations
  93. ERNIE 3.0 Titan: Exploring Larger-scale Knowledge Enhanced Pre-training for Language Understanding and GenerationarXiv:2112.12731Shuohuan Wang, Yu Sun, Yang Xiang, et al.2021 · 63 citations
  94. Seed1.5-Thinking: Advancing Superb Reasoning Models with Reinforcement LearningarXiv:2504.13914ByteDance Seed, Jiaze Chen, Tiantian Fan, et al.2025 · 62 citations
  95. Meta-Prompting: Enhancing Language Models with Task-Agnostic ScaffoldingarXiv:2401.12954Mirac Suzgun, Adam Tauman Kalai2024 · 62 citations
  96. Multimodal Table UnderstandingAnnual Meeting of the Association for Computational Linguistics (ACL)Mingyu Zheng, Xinwei Feng, Qingyi Si, et al.2024 · 62 citations
  97. Entity Tracking in Language ModelsarXiv:2305.02363Najoung Kim, Sebastian Schuster2023 · 62 citations
  98. 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
  99. OpenAgents: An Open Platform for Language Agents in the WildarXiv:2310.10634Tianbao Xie, Fan Zhou, Zhoujun Cheng, et al.2023 · 62 citations
  100. Rephrase and Respond: Let Large Language Models Ask Better Questions for ThemselvesarXiv:2311.04205Yihe Deng, Weitong Zhang, Zixiang Chen, et al.2023 · 62 citations

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