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Who cites Chongyi Wang

547 citations of their works from 527 papers of our library (of the 149,439 whose bibliographies we read) · 124 with a page here, the most cited first · page 1 of 2 · 1–100 · ← Chongyi Wang

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  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. Qwen2-VL: Enhancing Vision-Language Model's Perception of the World at Any ResolutionarXiv:2409.12191Peng Wang, Shuai Bai, Sinan Tan, et al.2024 · 860 citations
  3. 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
  4. TinyLlama: An Open-Source Small Language ModelarXiv:2401.02385Peiyuan Zhang, Guangtao Zeng, Tianduo Wang, et al.2024 · 352 citations
  5. Kimi K2: Open Agentic IntelligencearXiv:2507.20534Kimi Team, Yifan Bai, Yiping Bao, et al.2025 · 347 citations
  6. 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
  7. 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
  8. MiniCPM-V: A GPT-4V Level MLLM on Your PhonearXiv:2408.01800Yuan Yao, Tianyu Yu, Ao Zhang, et al.2024 · 269 citations
  9. Qwen2.5-Omni Technical ReportarXiv:2503.20215Jin Xu, Zhifang Guo, Jinzheng He, et al.2025 · 227 citations
  10. InternVL3: Exploring Advanced Training and Test-Time Recipes for Open-Source Multimodal ModelsarXiv:2504.10479Jinguo Zhu, Weiyun Wang, Zhe Chen, et al.2025 · 216 citations
  11. 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
  12. DataComp-LM: In search of the next generation of training sets for language modelsConference on Neural Information Processing Systems (NeurIPS)Jeffrey Li, Alex Fang, Georgios Smyrnis, et al.2024 · 191 citations
  13. 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
  14. InternVL3.5: Advancing Open-Source Multimodal Models in Versatility, Reasoning, and EfficiencyarXiv:2508.18265Weiyun Wang, Zhangwei Gao, Lixin Gu, et al.2025 · 179 citations
  15. Large Language Diffusion ModelsConference on Neural Information Processing Systems (NeurIPS)Shen Nie, Fengqi Zhu, Zebin You, et al.2025 · 178 citations
  16. GLM-4.5: Agentic, Reasoning, and Coding (ARC) Foundation ModelsarXiv:2508.06471Aohan Zeng, Xin Lv, Qinkai Zheng, et al.2025 · 166 citations
  17. DeepSeek-VL2: Mixture-of-Experts Vision-Language Models for Advanced Multimodal UnderstandingarXiv:2412.10302Zhiyu Wu, Xiaokang Chen, Zizheng Pan, et al.2024 · 137 citations
  18. EuroLLM: Multilingual Language Models for EuropearXiv:2409.16235Pedro Henrique Martins, Patrick Fernandes, Joao Alves, et al.2024 · 133 citations
  19. LMMs-Eval: Reality Check on the Evaluation of Large Multimodal ModelsFindings of the Association for Computational LinguisticsKaichen Zhang, Bo Li, Peiyuan Zhang, et al.2025 · 115 citations
  20. How to Train Long-Context Language Models (Effectively)Annual Meeting of the Association for Computational Linguistics (ACL)Tianyu Gao, Alexander Wettig, Howard Yen, et al.2025 · 89 citations
  21. Math-LLaVA: Bootstrapping Mathematical Reasoning for Multimodal Large Language ModelsFindings of the Association for Computational LinguisticsWenhao Shi, Zhiqiang Hu, Yi Bin, et al.2024 · 86 citations
  22. OpenCoder: The Open Cookbook for Top-Tier Code Large Language ModelsAnnual Meeting of the Association for Computational Linguistics (ACL)Siming Huang, Tianhao Cheng, Jason Klein Liu, et al.2025 · 81 citations
  23. MEGAVERSE: Benchmarking Large Language Models Across Languages, Modalities, Models and TasksConference of the North American Chapter of the Association for Computational Linguistics (NAACL)Sanchit Ahuja, Divyanshu Aggarwal, Varun Gumma, et al.2024 · 74 citations
  24. 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
  25. CogVLM2: Visual Language Models for Image and Video UnderstandingarXiv:2408.16500Wenyi Hong, Weihan Wang, Ming Ding, et al.2024 · 52 citations
  26. Hymba: A Hybrid-head Architecture for Small Language ModelsarXiv:2411.13676Xin Dong, Yonggan Fu, Shizhe Diao, et al.2024 · 50 citations
  27. EuroLLM-9B: Technical ReportarXiv:2506.04079Pedro Henrique Martins, Joao Alves, Patrick Fernandes, et al.2025 · 45 citations
  28. Stop Looking for “Important Tokens” in Multimodal Language Models: Duplication Matters MoreConference on Empirical Methods in Natural Language Processing (EMNLP)Zichen Wen, Yifeng Gao, Shaobo Wang, et al.2025 · 44 citations
  29. NVLM: Open Frontier-Class Multimodal LLMsarXiv:2409.11402Wenliang Dai, Nayeon Lee, Boxin Wang, et al.2024 · 44 citations
  30. Improve Vision Language Model Chain-of-thought ReasoningAnnual Meeting of the Association for Computational Linguistics (ACL)Ruohong Zhang, Bowen Zhang, Yanghao Li, et al.2025 · 42 citations
  31. Kimi K3: Open Frontier IntelligencearXiv:2607.24653Kimi Team, Tongtong Bai, Yifan Bai, et al.2026 · 40 citations
  32. 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
  33. 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
  34. Reuse, Don't Retrain: A Recipe for Continued Pretraining of Language ModelsarXiv:2407.07263Jupinder Parmar, Sanjev Satheesh, Mostofa Patwary, et al.2024 · 36 citations
  35. MinerU2.5: A Decoupled Vision-Language Model for Efficient High-Resolution Document ParsingAnnual Meeting of the Association for Computational Linguistics (ACL)Junbo Niu, Zheng Liu, Zhuangcheng Gu, et al.2026 · 35 citations
  36. EuroBERT: Scaling Multilingual Encoders for European LanguagesarXiv:2503.05500Nicolas Boizard, Hippolyte Gisserot-Boukhlef, Duarte M. Alves, et al.2025 · 34 citations
  37. VLSBench: Unveiling Visual Leakage in Multimodal SafetyAnnual Meeting of the Association for Computational Linguistics (ACL)Xuhao Hu, Dongrui Liu, Hao Li, et al.2025 · 32 citations
  38. Scaling Laws and Compute-Optimal Training Beyond Fixed Training DurationsConference on Neural Information Processing Systems (NeurIPS)Alexander Hägele, Elie Bakouch, Atli Kosson, et al.2024 · 31 citations
  39. SEA-LION: Southeast Asian Languages in One NetworkInternational Joint Conference on Natural Language Processing (IJCNLP)Raymond Ng, Thanh Ngan Nguyen, Huang Yuli, et al.2025 · 29 citations
  40. Towards Effective and Efficient Continual Pre-training of Large Language ModelsAnnual Meeting of the Association for Computational Linguistics (ACL)Jie Chen, Zhipeng Chen, Jiapeng Wang, et al.2025 · 29 citations
  41. Baichuan-Omni-1.5 Technical ReportarXiv:2501.15368Yadong Li, Jun Liu, Tao Zhang, et al.2025 · 28 citations
  42. JetMoE: Reaching Llama2 Performance with 0.1M DollarsarXiv:2404.07413Yikang Shen, Zhen Guo, Tianle Cai, et al.2024 · 28 citations
  43. Nemotron 3 Nano: Open, Efficient Mixture-of-Experts Hybrid Mamba-Transformer Model for Agentic ReasoningarXiv:2512.20848NVIDIA: Aaron Blakeman, Aaron Grattafiori, Aarti Basant, et al.2025 · 27 citations
  44. Distillation Scaling LawsarXiv:2502.08606Dan Busbridge, Amitis Shidani, Floris Weers, et al.2025 · 26 citations
  45. Baichuan-M1: Pushing the Medical Capability of Large Language ModelsarXiv:2502.12671Bingning Wang, Haizhou Zhao, Huozhi Zhou, et al.2025 · 24 citations
  46. ChartCoder: Advancing Multimodal Large Language Model for Chart-to-Code GenerationAnnual Meeting of the Association for Computational Linguistics (ACL)Xuanle Zhao, Xianzhen Luo, Qi Shi, et al.2025 · 24 citations
  47. MiniCPM-V 4.5: Cooking Efficient MLLMs via Architecture, Data, and Training RecipearXiv:2509.18154Tianyu Yu, Zefan Wang, Chongyi Wang, et al.2025 · 24 citations
  48. 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
  49. DDK: Distilling Domain Knowledge for Efficient Large Language ModelsConference on Neural Information Processing Systems (NeurIPS)Jiaheng Liu, Chenchen Zhang, Jinyang Guo, et al.2024 · 23 citations
  50. What is the Role of Small Models in the LLM Era: A SurveyComputational LinguisticsLihu Chen, Gael Varoquaux2024 · 23 citations
  51. MiniCPM4: Ultra-Efficient LLMs on End DevicesarXiv:2506.07900MiniCPM Team, Chaojun Xiao, Yuxuan Li, et al.2025 · 22 citations
  52. MMSci: A Dataset for Graduate-Level Multi-Discipline Multimodal Scientific UnderstandingarXiv:2407.04903Zekun Li, Xianjun Yang, Kyuri Choi, et al.2024 · 20 citations
  53. FinMME: Benchmark Dataset for Financial Multi-Modal Reasoning EvaluationAnnual Meeting of the Association for Computational Linguistics (ACL)Junyu Luo, Zhizhuo Kou, Liming Yang, et al.2025 · 19 citations
  54. Resolving Discrepancies in Compute-Optimal Scaling of Language ModelsConference on Neural Information Processing Systems (NeurIPS)Tomer Porian, Mitchell Wortsman, Jenia Jitsev, et al.2024 · 19 citations
  55. Baichuan-Omni Technical ReportarXiv:2410.08565Yadong Li, Haoze Sun, Mingan Lin, et al.2024 · 18 citations
  56. Baichuan-Audio: A Unified Framework for End-to-End Speech InteractionarXiv:2502.17239Tianpeng Li, Jun Liu, Tao Zhang, et al.2025 · 16 citations
  57. Falcon-H1: A Family of Hybrid-Head Language Models Redefining Efficiency and PerformancearXiv:2507.22448Jingwei Zuo, Maksim Velikanov, Ilyas Chahed, et al.2025 · 15 citations
  58. Jais 2: A Family of Arabic-Centric Open Large Language ModelsarXiv:2608.13580Mohamed Anwar, Abed Alhakim Freihat, George Ibrahim, et al.2026 · 14 citations
  59. Pre-training Distillation for Large Language Models: A Design Space ExplorationAnnual Meeting of the Association for Computational Linguistics (ACL)Hao Peng, Xin Lv, Yushi Bai, et al.2025 · 14 citations
  60. Infinity-MM: Scaling Multimodal Performance with Large-Scale and High-Quality Instruction DataarXiv:2410.18558Shuhao Gu, Jialing Zhang, Siyuan Zhou, et al.2024 · 13 citations
  61. MiniPLM: Knowledge Distillation for Pre-Training Language ModelsarXiv:2410.17215Yuxian Gu, Hao Zhou, Fandong Meng, et al.2024 · 12 citations
  62. SoundMind: RL-Incentivized Logic Reasoning for Audio-Language ModelsConference on Empirical Methods in Natural Language Processing (EMNLP)Xingjian Diao, Chunhui Zhang, Keyi Kong, et al.2025 · 11 citations
  63. GAOKAO-MM: A Chinese Human-Level Benchmark for Multimodal Models EvaluationarXiv:2402.15745Yi Zong, Xipeng Qiu2024 · 11 citations
  64. Yi-Lightning Technical ReportarXiv:2412.01253Alan Wake, Bei Chen, C.X. Lv, et al.2024 · 11 citations
  65. Improving Reasoning Capabilities in Small Models through Mixture-of-layers Distillation with Stepwise Attention on Key InformationConference on Empirical Methods in Natural Language Processing (EMNLP)Yao Chen, Jiawei Sheng, Wenyuan Zhang, et al.2025 · 10 citations
  66. WildScore: Benchmarking MLLMs in-the-Wild Symbolic Music ReasoningConference on Empirical Methods in Natural Language Processing (EMNLP)Gagan Mundada, Yash Vishe, Amit Namburi, et al.2025 · 10 citations
  67. HERMES: KV Cache as Hierarchical Memory for Efficient Streaming Video UnderstandingAnnual Meeting of the Association for Computational Linguistics (ACL)Haowei Zhang, Shudong Yang, Jinlan Fu, et al.2026 · 9 citations
  68. Advancing Mathematical Reasoning in Language Models: The Impact of Problem-Solving Data, Data Synthesis Methods, and Training StagesarXiv:2501.14002Zui Chen, Tianqiao Liu, Mi Tian, et al.2025 · 9 citations
  69. Centurio: On Drivers of Multilingual Ability of Large Vision-Language ModelAnnual Meeting of the Association for Computational Linguistics (ACL)Gregor Geigle, Florian Schneider, Carolin Holtermann, et al.2025 · 9 citations
  70. TriFine: A Large-Scale Dataset of Vision-Audio-Subtitle for Tri-Modal Machine Translation and Benchmark with Fine-Grained Annotated TagsInternational Conference on Computational Linguistics (COLING)Boyu Guan, Yining Zhang, Yang Zhao, et al.2025 · 9 citations
  71. Autoregressive Semantic Visual Reconstruction Helps VLMs Understand BetterFindings of the Association for Computational LinguisticsDianyi Wang, Wei Song, Yikun Wang, et al.2026 · 7 citations
  72. DebateQA: Evaluating Question Answering on Debatable KnowledgeFindings of the Association for Computational LinguisticsRongwu Xu, Xuan Qi, Zehan Qi, et al.2026 · 7 citations
  73. ERNIE 5.0 Technical ReportarXiv:2602.04705Haifeng Wang, Hua Wu, Tian Wu, et al.2026 · 7 citations
  74. Doc-React: Multi-page Heterogeneous Document Question-answeringAnnual Meeting of the Association for Computational Linguistics (ACL)Junda Wu, Yu Xia, Tong Yu, et al.2025 · 6 citations
  75. MiniCPM-o 4.5: Towards Real-Time Full-Duplex Omni-Modal InteractionarXiv:2604.27393Junbo Cui, Bokai Xu, Chongyi Wang, et al.2026 · 5 citations
  76. Revealing and Enhancing Core Visual Regions: Harnessing Internal Attention Dynamics for Hallucination Mitigation in LVLMsFindings of the Association for Computational LinguisticsGuangtao Lyu, Qi Liu, Chenghao Xu, et al.2026 · 5 citations
  77. Baichuan Alignment Technical ReportarXiv:2410.14940Mingan Lin, Fan Yang, Yanjun Shen, et al.2024 · 5 citations
  78. 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
  79. LAD-RAG: Layout-aware Dynamic RAG for Visually-Rich Document UnderstandingAnnual Meeting of the Association for Computational Linguistics (ACL)Zhivar Sourati, Zheng Wang, Marianne Menglin Liu, et al.2026 · 4 citations
  80. Imbalanced Gradients in RL Post-Training of Multi-Task LLMsFindings of the Association for Computational LinguisticsRunzhe Wu, Ankur Samanta, Ayush Jain, et al.2026 · 3 citations
  81. A Sovereign, Open-Source Foundation Model for German and EnglisharXiv:2607.09424Soofi-Team: Benedikt Droste, David Fitzek, Ruben Harle, et al.2026 · 2 citations
  82. Closing the Modality Reasoning Gap for Speech Large Language ModelsAnnual Meeting of the Association for Computational Linguistics (ACL)Chaoren Wang, Heng Lu, Xueyao Zhang, et al.2026 · 2 citations
  83. GM-PRM: A Generative Multimodal Process Reward Model for Multimodal Mathematical ReasoningWorkshop on Advances in Language and Vision Research (ALVR)Jianghangfan Zhang, Yibo Yan, Kening Zheng, et al.2026 · 2 citations
  84. MERLIN: A Testbed for Multilingual Multimodal Entity Recognition and LinkingTransactions of the Association for Computational Linguistics (TACL)Sathyanarayanan Ramamoorthy, Vishwa Shah, Simran Khanuja, et al.2026 · 2 citations
  85. MTAVG-Bench: A Diagnostic Benchmark for Multi-Talker Dialogue-Centric Audio-Video GenerationAnnual Meeting of the Association for Computational Linguistics (ACL)Yanghao Zhou, Haitian Li, Rexar Lin, et al.2026 · 2 citations
  86. Preference Learning Unlocks LLMs' Psycho-Counseling SkillsFindings of the Association for Computational LinguisticsMian Zhang, Shaun M. Eack, Zhiyu Chen2026 · 2 citations
  87. TechING: Towards Real World Technical Image Understanding via VLMsFindings of the Association for Computational LinguisticsTafazzul Nadeem, Bhavik Shangari, Manish Rai, et al.2026 · 2 citations
  88. DART: Leveraging Multi-Agent Disagreement for Tool Recruitment in Multimodal ReasoningConference of the European Chapter of the Association for Computational Linguistics (EACL)Nithin Sivakumaran, Justin Chen, David Wan, et al.2026 · 1 citation
  89. Efficient Table Retrieval and Understanding with Multimodal Large Language ModelsFindings of the Association for Computational LinguisticsZhuoyan Xu, Haoyang Fang, Boran Han, et al.2026 · 1 citation
  90. How to Set the Learning Rate for Large-Scale Pre-training?Findings of the Association for Computational LinguisticsYunhua Zhou, Shuhao Xing, Junhao Huang, et al.2026 · 1 citation
  91. IF-RewardBench: Benchmarking Judge Models for Instruction-Following EvaluationAnnual Meeting of the Association for Computational Linguistics (ACL)Bosi Wen, Yilin Niu, Cunxiang Wang, et al.2026 · 1 citation
  92. SEE: Signal Embedding Energy for Quantifying Noise Interference in Large Audio Language ModelsAnnual Meeting of the Association for Computational Linguistics (ACL)Yuanhe Zhang, Jiayu Tian, Yibo Zhang, et al.2026 · 1 citation
  93. SPD-Faith Bench: Diagnosing and Improving Faithfulness in Chain-of-Thought for Multimodal Large Language ModelsFindings of the Association for Computational LinguisticsWeijiang Lv, Yaoxuan Feng, Xiaobo Xia, et al.2026 · 1 citation
  94. UltraEval-Audio: A Unified Framework for Comprehensive Evaluation of Audio Foundation ModelsAnnual Meeting of the Association for Computational Linguistics (ACL)Qundong Shi, Jie Zhou, Biyuan Lin, et al.2026 · 1 citation
  95. USB: A COMPREHENSIVE AND UNIFIED SAFETY EVALUATION BENCHMARK FOR MULTIMODAL LARGE LANGUAGE MODELSAnnual Meeting of the Association for Computational Linguistics (ACL)Baolin Zheng, Guanlin Chen, Qingyang Teng, et al.2026 · 1 citation
  96. Utility-Oriented Visual Evidence Selection for Multimodal Retrieval-Augmented GenerationAnnual Meeting of the Association for Computational Linguistics (ACL)Weiqing Luo, Zongye Hu, Xiao Wang, et al.2026 · 1 citation
  97. When Helpers Become Hazards: A Benchmark for Analyzing Multimodal LLM-Powered Safety in Daily LifeFindings of the Association for Computational LinguisticsXinyue Lou, Xu Jinan, Jingyi Yin, et al.2026 · 1 citation
  98. BitMar: Low-Bit Multimodal Fusion with Episodic Memory for Edge DevicesBabyLM WorkshopEuhid Aman, Esteban Carlin, Hsing-Kuo Kenneth Pao, et al.2025 · 1 citation
  99. A Cascade Reinforcement Learning Strategy for Efficiently Enhancing the Reasoning Ability of Multimodal Large Language Models (高效提升多模态大语言模型推理能力的级联强化学习策略)Acta Automatica Sinica (自动化学报)Weiyun Wang (王玮赟), Hengjun Pu (蒲恒骏), Linglin Jing (景凌林), et al.2026
  100. AICA-Bench: Holistically Examining the Capabilities of VLMs in Affective Image Content AnalysisFindings of the Association for Computational LinguisticsDong She, Xianrong Yao, Liqun Chen, et al.2026

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