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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 33 of 33 · 3201–3273 · ← Mark I-Cheng Chen

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  1. Towards Inference-time Scaling for Continuous Space ReasoningFindings of the Association for Computational LinguisticsMinghan Wang, Thuy-Trang Vu, Ehsan Shareghi, et al.2026
  2. Towards Self-Evolving Agents: Enabling Autonomy through Interactive Experience RefinementFindings of the Association for Computational LinguisticsCheng Yang, Xuemeng Yang, Licheng Wen, et al.2026
  3. Towards Unified Multimodal Large Language Models: A surveyFindings of the Association for Computational LinguisticsXu Ma, Yitian Zhang, Yun Fu2026
  4. Toxic Subword Pruning for Dialogue Response Generation on Large Language ModelsJoint Conference on Lexical and Computational Semantics (*SEM)Hongyuan Adam Lu, Wai Lam2026
  5. TRAC: Teacher-Guided Token Reward with Adaptive Calibration for Robust Policy OptimizationAnnual Meeting of the Association for Computational Linguistics (ACL)Sitong Wu, Haoru Tan, Xichen Zhang, et al.2026
  6. Tracing the Light of Thought: A Probabilistic Self- and Cross-Consistency Verification Mechanism Improving Mathematical Reasoning in LLMsFindings of the Association for Computational LinguisticsXiaoyang Liu, Dawei Wang, Tian Li, et al.2026
  7. Training-Free Adaptive Speculative Decoding via Linguistic PriorsFindings of the Association for Computational LinguisticsJingyi Wang, Jiaqi Huang, Zunnan Xu, et al.2026
  8. Training-Free Test-Time Contrastive Learning for Large Language ModelsFindings of the Association for Computational LinguisticsKaiwen Zheng, Kai Zhou, Jinwu Hu, et al.2026
  9. Transfer Learning for Generalizable Automated LLM Improvement Pipeline for IVR NavigationAnnual Meeting of the Association for Computational Linguistics (ACL)Vishal Sankar Ram, Jason Kushner, Manas Paldhe, et al.2026
  10. Translation with Thought: Difficulty-Adaptive Reasoning via Reinforcement Learning for Multi-Domain Machine TranslationAnnual Meeting of the Association for Computational Linguistics (ACL)Yongshi Ye, Biao Fu, Chongxuan Huang, et al.2026
  11. TURTLEAI: Benchmarking Multimodal Models for Visual Programming in Turtle GraphicsFindings of the Association for Computational LinguisticsChao Wen, Jacqueline Staub, Adish Singla2026
  12. U-Fold: Dynamic Intent-Aware Context Folding for User-Centric AgentsFindings of the Association for Computational LinguisticsJin Su, Runnan Fang, Yeqiu Li, et al.2026
  13. Ultra-Low-Dimensional Prompt Tuning via Random ProjectionConference of the European Chapter of the Association for Computational Linguistics (EACL)Zijun Wu, Yongchang Hao, Lili Mou2026
  14. Understanding and Mitigating Spurious Signal Amplification in Test-Time Reinforcement Learning for Math ReasoningFindings of the Association for Computational LinguisticsYongcan Yu, Lingxiao He, Jian Liang, et al.2026
  15. Understanding and Preventing Entropy Collapse in RLVR with On-Policy Entropy Flow OptimizationFindings of the Association for Computational LinguisticsHuimin Xu, Shuai Zhao, Xiaobao Wu, et al.2026
  16. Understanding In-Context Learning Beyond Transformers: An Investigation of State Space and Hybrid ArchitecturesFindings of the Association for Computational LinguisticsShenran Wang, Timothy Tin-Long Tse, Jian Zhu2026
  17. UniCM: A Unified Consistency Model For Efficient Multimodal Generation and UnderstandingFindings of the Association for Computational LinguisticsChenkai Xu, Xu Wang, Zhenyi Liao, et al.2026
  18. UniGeM: Unifying Data Selection and Mixing via Geometric Exploration and MiningFindings of the Association for Computational LinguisticsChanghao Wang, Yunfeiyu, Xinhao Yao, et al.2026
  19. UniSRM: A Unified Speech Reward Model for Reasoning-Based Fine-grained AssessmentAnnual Meeting of the Association for Computational Linguistics (ACL)Yuanyuan Wang, Dongchao Yang, Yayue Deng, et al.2026
  20. Unleashing the Native Recommendation Potential: LLM-Based Generative Recommendation via Structured Term IdentifiersFindings of the Association for Computational LinguisticsZhiyang Zhang, Junda She, Kuo Cai, et al.2026
  21. Unlocking Human-Like Visible Logic: How Logic Diagrams Boost Logic Reasoning in Large Language Models?Findings of the Association for Computational LinguisticsXin Wu, Yuqi Bu, Mengchen Zhao, et al.2026
  22. UNSC-Bench: Evaluating LLM Diplomatic Role-Playing Through UN Security Council Vote PredictionWorkshop on Multilingual Multicultural EvaluationAyush Nangia, Aman Gokrani, Ruggero Marino Lazzaroni2026
  23. VecInfer: Efficient LLM Inference with Low-Bit KV Cache via Outlier-Suppressed Vector QuantizationAnnual Meeting of the Association for Computational Linguistics (ACL)Dingyu Yao, Chenxu Yang, Zhengyang Tong, et al.2026
  24. Vector Calligrapher: Generating Scalable Vector Graphics via Structured Linguistic SupervisionAnnual Meeting of the Association for Computational Linguistics (ACL)Bo Zhou, Xikang Chen, Yan Gong, et al.2026
  25. Verifier-Free RL for LLMs via Intrinsic Gradient-Norm RewardFindings of the Association for Computational LinguisticsXuexiang Wen, Hang Yu, Linchao Zhu, et al.2026
  26. Vertical Routing: A Cost-Efficient Collaboration Routing FrameworkTransactions of the Association for Computational Linguistics (TACL)Si Shen, Peijun Shen, Danhao Zhu2026
  27. Vinclat: Evaluating Reasoning, Cognition and Culture in One GameWorkshop on Multilingual Multicultural EvaluationMarc Pàmies, Javier Aula-Blasco, Aitor Gonzalez-Agirre, et al.2026
  28. We Are What We Repeatedly Do: Improving Long Context Instruction FollowingFindings of the Association for Computational LinguisticsPreston K Robinette, Andrew Hard, Swaroop Ramaswamy, et al.2026
  29. WeightLoRA: Keep Only Necessary AdaptersAnnual Meeting of the Association for Computational Linguistics (ACL)Andrey Veprikov, Vladimir Solodkin, Zyl Alexander, et al.2026
  30. What Makes a Good Query? Measuring the Impact of Human-Confusing Linguistic Features on LLM PerformanceFindings of the Association for Computational LinguisticsWilliam Watson, Nicole Cho, Sumitra Ganesh, et al.2026
  31. What Moves the Pareto Frontier in Tool-Using Agents? A Compute-Aware Study of ReAct VariantsAnnual Meeting of the Association for Computational Linguistics (ACL)Rishi N. Simhadri2026
  32. What Tokens Truly Matter? The Logit Conflation Problem in LLM SamplingFindings of the Association for Computational LinguisticsPinlong Zhao, Huijun Tang, Pengfei Jiao, et al.2026
  33. When LLMs Read Tables Carelessly: Measuring and Reducing Data Referencing ErrorsAnnual Meeting of the Association for Computational Linguistics (ACL)Yuqing Yang, Qi Zhu, Zhen Han, et al.2026
  34. When to Trust Tools? Adaptive Tool Trust Calibration For Tool-Integrated Math ReasoningFindings of the Association for Computational LinguisticsRuotao Xu, Yixin Ji, Yu Luo, et al.2026
  35. Where do LLMs currently stand on biomedical NER in both clean and noisy settings ?Findings of the Association for Computational LinguisticsChristophe Ye, Cassie S. Mitchell2026
  36. Where Paths Split: Localized, Calibrated Control of Moral Reasoning in Large Language ModelsAnnual Meeting of the Association for Computational Linguistics (ACL)Chenchen Yuan, Zheyu Zhang, Gjergji Kasneci2026
  37. Which bird does not have wings: Negative-constrained KGQA with Schema-guided Semantic Matching and Self-directed RefinementFindings of the Association for Computational LinguisticsMidan Shim, Seokju Hwang, KaeHyun Um, et al.2026
  38. Why do Large Language Models Fail in Low-resource Translation? Unraveling the Token Dynamics of Large Language Models for Machine TranslationAnnual Conference of the European Association for Machine Translation (EAMT)Shenbin Qian, Yves Scherrer2026
  39. Why Does Reinforcement Learning Generalize? A Feature-Level Mechanistic Study of Post-Training in Large Language ModelsAnnual Meeting of the Association for Computational Linguistics (ACL)Dan Shi, Zhuowen Han, Simon Ostermann, et al.2026
  40. WildReward: Learning Reward Models from In-the-Wild Human InteractionsAnnual Meeting of the Association for Computational Linguistics (ACL)Hao Peng, Yunjia Qi, Xiaozhi Wang, et al.2026
  41. YNU-HPCC at SemEval-2026 Task 13: Robust Machine-Generated Code Detection under Distribution ShiftsInternational Workshop on Semantic Evaluation (SemEval)Lixian Xing, Jin Wang, Xuejie Zhang2026
  42. You Only Need One Single Token to Refine Safety AlignmentFindings of the Association for Computational LinguisticsWenqian Yu, Shuo Chen, Zhijiang Li, et al.2026
  43. Your Reasoning Benchmark May Not Test Reasoning: Revealing Perception Bottleneck in Abstract Reasoning BenchmarksAnnual Meeting of the Association for Computational Linguistics (ACL)Xinhe Wang, Jin Huang, Xingjian Zhang, et al.2026
  44. Zero Shot Phonics: Evaluating Constraint-Adherent Phonics Story Generation in Large Language ModelsWorkshop on Innovative Use of NLP for Building Educational Applications (BEA)Maria Monica Manlises, Ethel Ong2026
  45. Zero-Shot Open-Schema Entity Structure DiscoveryConference of the European Chapter of the Association for Computational Linguistics (EACL)Xueqiang Xu, Jinfeng Xiao, James Barry, et al.2026
  46. ZIP: Quantifying Which Words Matter in Zero-Shot Instructional PromptsJoint Conference on Lexical and Computational Semantics (*SEM)Nikta Gohari Sadr, Sangmitra Madhusudan, Arash Asgari, et al.2026
  47. ZoomR: Memory Efficient Reasoning through Multi-Granularity Key Value RetrievalAnnual Meeting of the Association for Computational Linguistics (ACL)David H. Yang, Yuxuan Zhu, Mohammad Mohammadi Amiri, et al.2026
  48. “Decode the Law”: Towards Legal Text Simplification with Large Language ModelsLanguage Resources and Evaluation Conference (LREC)Mohammed Danish Rabbani, Subhadeep Roy, Sayantan Mitra, et al.2026
  49. ALHD: A Large-Scale and Multigenre Benchmark Dataset for Arabic LLM-Generated Text DetectionarXiv:2510.03502Ali Khairallah, Arkaitz Zubiaga2025
  50. An Empirical Study of Chinese Entity Linking Based on Large Language Model (基于大语言模型的中文实体链接实证研究)Acta Automatica Sinica (自动化学报)Zhengfei Xu (徐正斐), Xin Xin (辛欣)2025
  51. DeformAr: Rethinking NER Evaluation through Component Analysis and Visual AnalyticsarXiv:2512.00938Ahmed Mustafa Younes2025
  52. Embodied Intelligence Systems Based on Large Models: A Survey (基于大模型的具身智能系统综述)Acta Automatica Sinica (自动化学报)Wensheng Wang (王文晟), Ning Tan (谭宁), Kai Huang (黄凯), et al.2025
  53. Enhancing Arabic Retrieval Augmented Generation through Language ProcessingInternational Conference on Natural Language and Speech ProcessingShadi Saleh, Belkacem EL Jattari, Layth Oud, et al.2025
  54. LangLingual: A Personalised, Exercise-oriented English Language Learning Tool Leveraging Large Language ModelsarXiv:2510.23011Sammriddh Gupta, Sonit Singh, Aditya Joshi, et al.2025
  55. mucAI at Ahasis Shared Task: Sentiment Analysis with Adaptive Few Shot PromptingRecent Advances in Natural Language Processing (RANLP)Ahmed Mohamed Abdelaal Abdou2025
  56. NeoDictaBERT: Pushing the Frontier of BERT models for HebrewShaltiel Shmidman, Avi Shmidman, Moshe Koppel2025
  57. Poem Meter Classification of Recited Arabic Poetry: Integrating High-Resource Systems for a Low-Resource TaskarXiv:2504.12172Maged S. Al-Shaibani, Zaid Alyafeai, Irfan Ahmad2025
  58. QiMP at SemEval-2025 Task 11: Optimizing Text-based Emotion Classification in English Beyond Traditional MethodsInternational Workshop on Semantic Evaluation (SemEval)Mariia Bogatyreva, Pascal Gaertner, Quim Ribas, et al.2025
  59. Social Perceptions of English Spelling Variation on Twitter: A Comparative Analysis of Human and LLM ResponsesarXiv:2511.23041Dong Nguyen, Laura Rosseel2025
  60. Survey of Tool Use in Large Language Models (大语言模型的工具使用综述)Acta Automatica Sinica (自动化学报)Yining Zheng (郑逸宁), Zhen Yu (余镇), Bufan Li (李不凡), et al.2025
  61. Survey on Application of Retrieval-augmented Generation in Software Engineering (检索增强生成在软件工程中的应用综述)Journal of SoftwareQuanjun Zhang (张犬俊), Yang Xie (谢杨), Chunrong Fang (房春荣), et al.2025
  62. Survey on Code Generation with LLM-based Agents (基于大语言模型智能体的代码生成综述)Journal of SoftwareYihong Dong (董益宏), Xue Jiang (姜雪), Jiaru Qian (钱家如), et al.2025
  63. Survey on Key Technologies for Large Language Model Pre-training Systems (大语言模型预训练系统关键技术综述)Journal of SoftwareYanjie Gao (高彦杰), Yueguo Chen (陈跃国)2025
  64. 360Zhinao Technical ReportarXiv:2405.133862024
  65. Can generative AI recognise textual entailment? (生成 AI は含意関係認識ができるのか)Annual Meeting of the Association for Natural Language Processing荒沢康平, 狩野芳伸2024
  66. Complexity factors of language models in reading comprehension: a controlled experiment (Étude des facteurs de complexité des modèles de langage dans une tâche de compréhension de lecture à l'aide d'une expérience contrôlée sémantiquement)JEP-TALN-RECITAL (the French-speaking conferences on speech and natural language processing)Elie Antoine, Frederic Bechet, Géraldine Damnati, et al.2024
  67. From Foundation Intelligence to General Intelligence: Status and Prospects of Large-Model-Based GenAI and AGI (从基础智能到通用智能: 基于大模型的GenAI和AGI之现状与展望)Acta Automatica Sinica (自动化学报)Qinghai Miao (缪青海), Xingxia Wang (王兴霞), Jing Yang (杨静), et al.2024
  68. Human Temporal Inferences Go Beyond Aspectual ClassKatarzyna Pruś, Mark Steedman, Adam Lopez2024
  69. On the importance of Data Scale in Pretraining Arabic Language ModelsarXiv:2401.07760Abbas Ghaddar, Philippe Langlais, Mehdi Rezagholizadeh, et al.2024
  70. TafsirExtractor: Text Preprocessing Pipeline preparing Classical Arabic Literature for Machine Learning ApplicationsWorkshop on Open-Source Arabic Corpora and Processing Tools with Shared TasksCarl Kruse, Sajawel Ahmed2024
  71. łlinstruct: An Instruction-tuned model for English Language Proficiency AssessmentsarXiv:2410.09314Debanjan Ghosh, Sophia Chan2024
  72. Questions After ChatGPT: Opportunities and Challenges of Very Large Pre-trained Models (问答ChatGPT之后: 超大预训练模型的机遇和挑战)Acta Automatica Sinica (自动化学报)Jingwei Lu (卢经纬), Chao Guo (郭超), Xingyuan Dai (戴星原), et al.2023
  73. Survey on Vision-language Pre-training (视觉语言预训练综述)Journal of SoftwareJiong Yin (殷炯), Zhedong Zhang (张哲东), Yuhan Gao (高宇涵), et al.2022

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