Elamur Research⌕
☰
home / authors / Kaidong Yu / cited by

Who cites Kaidong Yu

372 citations of their works from 371 papers of our library (of the 149,439 whose bibliographies we read) · 107 with a page here, the most cited first · page 1 of 2 · 1–100 · ← Kaidong Yu

1 2

  1. LlamaFactory: Unified Efficient Fine-Tuning of 100+ Language ModelsAnnual Meeting of the Association for Computational Linguistics (ACL)Yaowei Zheng, Richong Zhang, Junhao Zhang, et al.2024 · 1,048 citations
  2. MMMU: A Massive Multi-discipline Multimodal Understanding and Reasoning Benchmark for Expert AGIIEEE Computer Society Conference on Computer Vision and Pattern RecognitionXiang Yue, Yuansheng Ni, Kai Zhang, et al.2023 · 1,005 citations
  3. MMLU-Pro: A More Robust and Challenging Multi-Task Language Understanding BenchmarkConference on Neural Information Processing Systems (NeurIPS)Yubo Wang, Xueguang Ma, Ge Zhang, et al.2024 · 761 citations
  4. How Far Are We to GPT-4V? Closing the Gap to Commercial Multimodal Models with Open-Source SuitesScience China Information SciencesZhe Chen, Weiyun Wang, Hao Tian, et al.2024 · 541 citations
  5. The FineWeb Datasets: Decanting the Web for the Finest Text Data at ScaleConference on Neural Information Processing Systems (NeurIPS)Guilherme Penedo, Hynek Kydlíček, Loubna Ben allal, et al.2024 · 434 citations
  6. Tulu 3: Pushing Frontiers in Open Language Model Post-TrainingarXiv:2411.15124Nathan Lambert, Jacob Morrison, Valentina Pyatkin, et al.2024 · 423 citations
  7. RULER: What's the Real Context Size of Your Long-Context Language Models?arXiv:2404.06654Cheng-Ping Hsieh, Simeng Sun, Samuel Kriman, et al.2024 · 400 citations
  8. 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
  9. Are We on the Right Way for Evaluating Large Vision-Language Models?Conference on Neural Information Processing Systems (NeurIPS)Lin Chen, Jinsong Li, Xiaoyi Dong, et al.2024 · 277 citations
  10. MiniCPM-V: A GPT-4V Level MLLM on Your PhonearXiv:2408.01800Yuan Yao, Tianyu Yu, Ao Zhang, et al.2024 · 269 citations
  11. MiniCPM: Unveiling the Potential of Small Language Models with Scalable Training StrategiesarXiv:2404.06395Shengding Hu, Yuge Tu, Xu Han, et al.2024 · 269 citations
  12. Molmo and PixMo: Open Weights and Open Data for State-of-the-Art Vision-Language ModelsIEEE Computer Society Conference on Computer Vision and Pattern RecognitionMatt Deitke, Christopher Clark, Sangho Lee, et al.2024 · 216 citations
  13. Cambrian-1: A Fully Open, Vision-Centric Exploration of Multimodal LLMsConference on Neural Information Processing Systems (NeurIPS)Shengbang Tong, Ellis Brown, Penghao Wu, et al.2024 · 208 citations
  14. MInference 1.0: Accelerating Pre-filling for Long-Context LLMs via Dynamic Sparse AttentionConference on Neural Information Processing Systems (NeurIPS)Huiqiang Jiang, Yucheng Li, Chengruidong Zhang, et al.2024 · 202 citations
  15. Refusal in Language Models Is Mediated by a Single DirectionarXiv:2406.11717Andy Arditi, Oscar Obeso, Aaquib Syed, et al.2024 · 196 citations
  16. SmolLM2: When Smol Goes Big — Data-Centric Training of a Small Language ModelarXiv:2502.02737Loubna Ben Allal, Anton Lozhkov, Elie Bakouch, et al.2025 · 181 citations
  17. BigCodeBench: Benchmarking Code Generation with Diverse Function Calls and Complex InstructionsarXiv:2406.15877Terry Yue Zhuo, Minh Chien Vu, Jenny Chim, et al.2024 · 176 citations
  18. Scaling Synthetic Data Creation with 1,000,000,000 PersonasarXiv:2406.20094Tao Ge, Xin Chan, Xiaoyang Wang, et al.2024 · 171 citations
  19. Interpretable Preferences via Multi-Objective Reward Modeling and Mixture-of-ExpertsFindings of the Association for Computational LinguisticsHaoxiang Wang, Wei Xiong, Tengyang Xie, et al.2024 · 153 citations
  20. Olmo 3arXiv:2512.13961Team Olmo: Allyson Ettinger, Amanda Bertsch, Bailey Kuehl, et al.2025 · 130 citations
  21. MMMU-Pro: A More Robust Multi-discipline Multimodal Understanding BenchmarkarXiv:2409.02813Xiang Yue, Tianyu Zheng, Yuansheng Ni, et al.2024 · 123 citations
  22. CharXiv: Charting Gaps in Realistic Chart Understanding in Multimodal LLMsConference on Neural Information Processing Systems (NeurIPS)Zirui Wang, Mengzhou Xia, Luxi He, et al.2024 · 119 citations
  23. VideoLLaMA 2: Advancing Spatial-Temporal Modeling and Audio Understanding in Video-LLMsarXiv:2406.07476Zesen Cheng, Sicong Leng, Hang Zhang, et al.2024 · 118 citations
  24. ALLaM: Large Language Models for Arabic and EnglisharXiv:2407.15390M Saiful Bari, Yazeed Alnumay, Norah A. Alzahrani, et al.2024 · 113 citations
  25. WildBench: Benchmarking LLMs with Challenging Tasks from Real Users in the WildarXiv:2406.04770Bill Yuchen Lin, Yuntian Deng, Khyathi Chandu, et al.2024 · 105 citations
  26. FineWeb2: One Pipeline to Scale Them All — Adapting Pre-Training Data Processing to Every LanguagearXiv:2506.20920Guilherme Penedo, Hynek Kydliček, Vinko Sabolčec, et al.2025 · 99 citations
  27. Make Your LLM Fully Utilize the ContextConference on Neural Information Processing Systems (NeurIPS)Shengnan An, Zexiong Ma, Zeqi Lin, et al.2024 · 97 citations
  28. MAmmoTH2: Scaling Instructions from the WebConference on Neural Information Processing Systems (NeurIPS)Xiang Yue, Tuney Zheng, Ge Zhang, et al.2024 · 96 citations
  29. Retrieval Head Mechanistically Explains Long-Context FactualityarXiv:2404.15574Wenhao Wu, Yizhong Wang, Guangxuan Xiao, et al.2024 · 94 citations
  30. LogicBench: Towards Systematic Evaluation of Logical Reasoning Ability of Large Language ModelsAnnual Meeting of the Association for Computational Linguistics (ACL)Mihir Parmar, Nisarg Patel, Neeraj Varshney, et al.2024 · 93 citations
  31. SuperGPQA: Scaling LLM Evaluation across 285 Graduate DisciplinesarXiv:2502.14739M-A-P Team, Xinrun Du, Yifan Yao, et al.2025 · 89 citations
  32. BABILong: Testing the Limits of LLMs with Long Context Reasoning-in-a-HaystackConference on Neural Information Processing Systems (NeurIPS)Yuri Kuratov, Aydar Bulatov, Petr Anokhin, et al.2024 · 88 citations
  33. HuatuoGPT-o1, Towards Medical Complex Reasoning with LLMsarXiv:2412.18925Junying Chen, Zhenyang Cai, Ke Ji, et al.2024 · 87 citations
  34. Machine Unlearning of Pre-trained Large Language ModelsAnnual Meeting of the Association for Computational Linguistics (ACL)Jin Yao, Eli Chien, Minxin Du, et al.2024 · 86 citations
  35. PiSSA: Principal Singular Values and Singular Vectors Adaptation of Large Language ModelsarXiv:2404.02948Fanxu Meng, Zhaohui Wang, Muhan Zhang2024 · 86 citations
  36. HelpSteer2: Open-source dataset for training top-performing reward modelsarXiv:2406.08673Zhilin Wang, Yi Dong, Olivier Delalleau, et al.2024 · 82 citations
  37. MANTIS: Interleaved Multi-Image Instruction TuningTransactions on Machine Learning ResearchDongfu Jiang, Xuan He, Huaye Zeng, et al.2024 · 74 citations
  38. Benchmarking Benchmark Leakage in Large Language ModelsarXiv:2404.18824Ruijie Xu, Zengzhi Wang, Run-Ze Fan, et al.2024 · 73 citations
  39. Inference-Time Scaling for Generalist Reward ModelingarXiv:2504.02495Zijun Liu, Peiyi Wang, Runxin Xu, et al.2025 · 65 citations
  40. The Good, The Bad, and The Greedy: Evaluation of LLMs Should Not Ignore Non-DeterminismConference of the North American Chapter of the Association for Computational Linguistics (NAACL)Yifan Song, Guoyin Wang, Sujian Li, et al.2025 · 64 citations
  41. Unintended Impacts of LLM Alignment on Global RepresentationAnnual Meeting of the Association for Computational Linguistics (ACL)Michael J Ryan, William Held, Diyi Yang2024 · 57 citations
  42. OlympicArena: Benchmarking Multi-discipline Cognitive Reasoning for Superintelligent AIConference on Neural Information Processing Systems (NeurIPS)Zhen Huang, Zengzhi Wang, Shijie Xia, et al.2024 · 56 citations
  43. InternLM-XComposer2-4KHD: A Pioneering Large Vision-Language Model Handling Resolutions from 336 Pixels to 4K HDConference on Neural Information Processing Systems (NeurIPS)Xiaoyi Dong, Pan Zhang, Yuhang Zang, et al.2024 · 54 citations
  44. NVLM: Open Frontier-Class Multimodal LLMsarXiv:2409.11402Wenliang Dai, Nayeon Lee, Boxin Wang, et al.2024 · 44 citations
  45. Fishing for Magikarp: Automatically Detecting Under-trained Tokens in Large Language ModelsConference on Empirical Methods in Natural Language Processing (EMNLP)Sander Land, Max Bartolo2024 · 42 citations
  46. SemEval-2026 Task 13: Detecting Machine-Generated Code with Multiple Programming Languages, Generators, and Application ScenariosInternational Workshop on Semantic Evaluation (SemEval)Daniil Orel, Dilshod Azizov, Indraneil Paul, et al.2026 · 41 citations
  47. MAmmoTH-VL: Eliciting Multimodal Reasoning with Instruction Tuning at ScaleAnnual Meeting of the Association for Computational Linguistics (ACL)Jiawei Guo, Tianyu Zheng, Yizhi Li, et al.2025 · 40 citations
  48. Observational Scaling Laws and the Predictability of Language Model PerformancearXiv:2405.10938Yangjun Ruan, Chris J. Maddison, Tatsunori Hashimoto2024 · 40 citations
  49. 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
  50. On the Diversity of Synthetic Data and its Impact on Training Large Language ModelsarXiv:2410.15226Hao Chen, Abdul Waheed, Xiang Li, et al.2024 · 35 citations
  51. Chinese SimpleQA: A Chinese Factuality Evaluation for Large Language ModelsarXiv:2411.07140Yancheng He, Shilong Li, Jiaheng Liu, et al.2024 · 34 citations
  52. PsyDT: Using LLMs to Construct the Digital Twin of Psychological Counselor with Personalized Counseling Style for Psychological CounselingAnnual Meeting of the Association for Computational Linguistics (ACL)Haojie Xie, Yirong Chen, Xiaofen Xing, et al.2025 · 30 citations
  53. INVESTORBENCH: A Benchmark for Financial Decision-Making Tasks with LLM-based AgentAnnual Meeting of the Association for Computational Linguistics (ACL)Haohang Li, Yupeng Cao, Yangyang Yu, et al.2025 · 29 citations
  54. Sailor: Open Language Models for South-East AsiaarXiv:2404.03608Longxu Dou, Qian Liu, Guangtao Zeng, et al.2024 · 27 citations
  55. Smaller, Weaker, Yet Better: Training LLM Reasoners via Compute-Optimal SamplingarXiv:2408.16737Hritik Bansal, Arian Hosseini, Rishabh Agarwal, et al.2024 · 27 citations
  56. OmniEval: An Omnidirectional and Automatic RAG Evaluation Benchmark in Financial DomainConference on Empirical Methods in Natural Language Processing (EMNLP)Shuting Wang, Jiejun Tan, Zhicheng Dou, et al.2025 · 24 citations
  57. AICD Bench: A Challenging Benchmark for AI-Generated Code DetectionConference of the European Chapter of the Association for Computational Linguistics (EACL)Daniil Orel, Dilshod Azizov, Indraneil Paul, et al.2026 · 23 citations
  58. ErrorRadar: Benchmarking Complex Mathematical Reasoning of Multimodal Large Language Models Via Error DetectionFindings of the Association for Computational LinguisticsYibo Yan, Shen Wang, Jiahao Huo, et al.2026 · 23 citations
  59. Chinese Tiny LLM: Pretraining a Chinese-Centric Large Language ModelarXiv:2404.04167Xinrun Du; Zhouliang Yu; Songyang Gao; Ding Pan; Yuyang Cheng; Ziyang Ma; Ruibin Yuan; Xingwei Qu; Jiaheng Liu; Tianyu Zheng; Xinchen Luo; Guorui Zhou; Wenhu Chen;, Ge Zhang2024 · 23 citations
  60. Language Model Alignment in Multilingual Trolley ProblemsarXiv:2407.02273Zhijing Jin, Max Kleiman-Weiner, Giorgio Piatti, et al.2024 · 23 citations
  61. MMLU-CF: A Contamination-free Multi-task Language Understanding BenchmarkAnnual Meeting of the Association for Computational Linguistics (ACL)Qihao Zhao, Yangyu Huang, Tengchao Lv, et al.2025 · 21 citations
  62. LLM The Genius Paradox: A Linguistic and Math Expert's Struggle with Simple Word-based Counting ProblemsConference of the North American Chapter of the Association for Computational Linguistics (NAACL)Nan Xu, Xuezhe Ma2025 · 17 citations
  63. Auto-Arena: Automating LLM Evaluations with Agent Peer Battles and Committee DiscussionsAnnual Meeting of the Association for Computational Linguistics (ACL)Ruochen Zhao, Wenxuan Zhang, Yew Ken Chia, et al.2025 · 16 citations
  64. LongRecipe: Recipe for Efficient Long Context Generalization in Large Language ModelsAnnual Meeting of the Association for Computational Linguistics (ACL)Zhiyuan Hu, Yuliang Liu, Jinman Zhao, et al.2025 · 16 citations
  65. RAG-Critic: Leveraging Automated Critic-Guided Agentic Workflow for Retrieval Augmented GenerationAnnual Meeting of the Association for Computational Linguistics (ACL)Guanting Dong, Jiajie Jin, Xiaoxi Li, et al.2025 · 14 citations
  66. DataSciBench: An LLM Agent Benchmark for Data ScienceFindings of the Association for Computational LinguisticsDan Zhang, Sining Zhoubian, Min Cai, et al.2026 · 13 citations
  67. Less, but Better: Efficient Multilingual Expansion for LLMs via Layer-wise Mixture-of-ExpertsAnnual Meeting of the Association for Computational Linguistics (ACL)Xue Zhang, Yunlong Liang, Fandong Meng, et al.2025 · 13 citations
  68. From Calculation to Adjudication: Examining LLM judges on Mathematical Reasoning TasksarXiv:2409.04168Andreas Stephan, Dawei Zhu, Matthias Aßenmacher, et al.2024 · 13 citations
  69. Base of RoPE Bounds Context LengtharXiv:2405.14591Xin Men, Mingyu Xu, Bingning Wang, et al.2024 · 12 citations
  70. Why do LLaVA Vision-Language Models Reply to Images in English?Findings of the Association for Computational LinguisticsMusashi Hinck, Carolin Holtermann, Matthew Lyle Olson, et al.2024 · 12 citations
  71. Can LLMs assist with Ambiguity? A Quantitative Evaluation of various Large Language Models on Word Sense DisambiguationarXiv:2411.18337T.G.D.K. Sumanathilaka, Nicholas Micallef, Julian Hough2024 · 11 citations
  72. Yi-Lightning Technical ReportarXiv:2412.01253Alan Wake, Bei Chen, C.X. Lv, et al.2024 · 11 citations
  73. Beyond Dialogue: A Profile-Dialogue Alignment Framework Towards General Role-Playing Language ModelAnnual Meeting of the Association for Computational Linguistics (ACL)Yeyong Yu, Runsheng Yu, Haojie Wei, et al.2025 · 10 citations
  74. Multiple LLM Agents Debate for Equitable Cultural AlignmentAnnual Meeting of the Association for Computational Linguistics (ACL)Dayeon Ki, Rachel Rudinger, Tianyi Zhou, et al.2025 · 10 citations
  75. Reason Only When Needed: Efficient Generative Reward Modeling via Model-Internal UncertaintyFindings of the Association for Computational LinguisticsChao Xue, Yao Wang, Mengqiao Liu, et al.2026 · 8 citations
  76. Assessing the Creativity of LLMs in Proposing Novel Solutions to Mathematical ProblemsProceedings of the AAAI Conference on Artificial IntelligenceJunyi Ye, Jingyi Gu, Xinyun Zhao, et al.2024 · 8 citations
  77. Exact Byte-Level Probabilities from Tokenized Language Models for FIM-Tasks and Model EnsemblesarXiv:2410.09303Buu Phan, Brandon Amos, Itai Gat, et al.2024 · 8 citations
  78. How Good is Your Wikipedia? Auditing Data Quality for Low-resource and Multilingual NLPAnnual Meeting of the Association for Computational Linguistics (ACL)Kushal Tatariya, Artur Kulmizev, Wessel Poelman, et al.2026 · 6 citations
  79. From Blind Solvers to Logical Thinkers: Benchmarking LLMs' Logical Integrity on Faulty Mathematical ProblemsarXiv:2410.18921A M Muntasir Rahman, Junyi Ye, Wei Yao, et al.2024 · 6 citations
  80. Baichuan Alignment Technical ReportarXiv:2410.14940Mingan Lin, Fan Yang, Yanjun Shen, et al.2024 · 5 citations
  81. CAFES: A Collaborative Multi-Agent Framework for Multi-Granular Multimodal Essay ScoringWorkshop on Advances in Language and Vision Research (ALVR)Jiamin Su, Yibo Yan, Zhuoran Gao, et al.2026 · 4 citations
  82. J4R: Learning to Judge with Equivalent Initial State Group Relative Policy OptimizationAnnual Meeting of the Association for Computational Linguistics (ACL)Austin Xu, Yilun Zhou, Xuan-Phi Nguyen, et al.2026 · 3 citations
  83. LLMEval-Fair: A Large-Scale Longitudinal Study on Robust and Fair Evaluation of Large Language ModelsAnnual Meeting of the Association for Computational Linguistics (ACL)Ming Zhang, Yujiong Shen, Jingyi Deng, et al.2026 · 3 citations
  84. Less is More: Improving LLM Reasoning with Minimal Test-Time InterventionAnnual Meeting of the Association for Computational Linguistics (ACL)Zhen Yang, Mingyang Zhang, Feng Chen, et al.2026 · 2 citations
  85. A Survey of Deep Learning for Geometry Problem SolvingAnnual Meeting of the Association for Computational Linguistics (ACL)Jianzhe Ma, Wenxuan Wang, Qin Jin2026 · 1 citation
  86. GAOKAO-Eval: Does high scores truly reflect strong capabilities in LLMs?arXiv:2412.10056Zhikai Lei, Tianyi Liang, Hanglei Hu, et al.2024 · 1 citation
  87. ACSE: An Ancient Character Semantic-Aware Embedding for Large Language ModelsFindings of the Association for Computational LinguisticsZhihan Zhou, Daqian Shi, Lida Shi, et al.2026
  88. Arguments that Alter Minds: LLM Rationales Sway Human (and LLM) Notions of PlausibilityAnnual Meeting of the Association for Computational Linguistics (ACL)Shramay Palta, Peter A. Rankel, Sarah Wiegreffe, et al.2026
  89. Beyond Examples: Towards Automated Thought-level In-Context Reasoning for Large Language ModelsAnnual Meeting of the Association for Computational Linguistics (ACL)Jinyang Wu, Mingkuan Feng, Shuai Zhang, et al.2026
  90. CAMEC: Complexity-Aware Multi-Expert Collaboration for Reliable Chinese Medical Question AnsweringAnnual Meeting of the Association for Computational Linguistics (ACL)Yukang Wu, Xiyuan Jia, Jiayi Wu, et al.2026
  91. COIG-P: A High-Quality and Large-Scale Chinese Preference Dataset for Alignment with Human ValuesFindings of the Association for Computational LinguisticsSiwei Wu, JinCheng Ren, Xeron Du, et al.2026
  92. Compressing Language Models for Specialized DomainsConference of the European Chapter of the Association for Computational Linguistics (EACL)Miles Williams, George Chrysostomou, Vitor Amancio Jeronymo, et al.2026
  93. Cultivating Forensic Reasoning for Generalizable Multimodal Manipulation DetectionAnnual Meeting of the Association for Computational Linguistics (ACL)Yuchen Zhang, Yaxiong Wang, Kecheng Han, et al.2026
  94. Large-Scale Multimodal Knowledge Graph about Classical Chinese Poetry: Fine-grained Method and Comprehensive EvaluationFindings of the Association for Computational LinguisticsShuo Wang, Qing Zhu, Yang Xiao, et al.2026
  95. LLM Beliefs Are in Their HeadsAnnual Meeting of the Association for Computational Linguistics (ACL)Alessandro Corona Mendozza, Anders Søgaard2026
  96. Mediocrity is the key for LLM as a Judge Anchor SelectionAnnual Meeting of the Association for Computational Linguistics (ACL)Shachar Don-Yehiya, Asaf Yehudai, Leshem Choshen, et al.2026
  97. MMRA: A Benchmark for Evaluating Multi-Granularity and Multi-Image Relational Association Capabilities in Large Visual Language ModelsFindings of the Association for Computational LinguisticsSiwei Wu, King Zhu, Yu Bai, et al.2026
  98. Neo-Classic: A Benchmark for Evaluating Linguistic-Aesthetic Reasoning in Classical Chinese PoetryAnnual Meeting of the Association for Computational Linguistics (ACL)Han Zhang, Zihan Gu, Zhiyuan Wang, et al.2026
  99. PlotGen-Bench: Evaluating VLMs on Generating Visualization Code from Diverse Plots across Multiple LibrariesFindings of the Association for Computational LinguisticsYi Zhao, Zhen Yang, Shuaiqi Duan, et al.2026
  100. Routing with Generated Data: Annotation-Free LLM Skill Estimation and Expert SelectionAnnual Meeting of the Association for Computational Linguistics (ACL)Tianyi Niu, Justin Chen, Genta Indra Winata, et al.2026

1 2

↑ back to top

This page in Markdown → https://md.research.elamur.ai/free/en/authors/kaidong-yu/cited-by/