🧑‍🔬 Who cites Haokun Lin

170 citations of their works from 170 papers of our library (of the 149,439 whose bibliographies we read) · 70 with a page here, the most cited first · ← Haokun Lin

1. Qwen2.5-VL Technical ReportarXiv:2502.13923Shuai Bai, Keqin Chen, Xuejing Liu, et al.2025 · 1,031 citations
2. LLaVA-OneVision: Easy Visual Task TransferarXiv:2408.03326Bo Li, Yuanhan Zhang, Dong Guo, et al.2024 · 477 citations
3. Video-MME: The First-Ever Comprehensive Evaluation Benchmark of Multi-modal LLMs in Video AnalysisIEEE Computer Society Conference on Computer Vision and Pattern RecognitionChaoyou Fu, Yuhan Dai, Yongdong Luo, et al.2024 · 427 citations
4. Qwen3-VL Technical ReportarXiv:2511.21631Shuai Bai, Yuxuan Cai, Ruizhe Chen, et al.2025 · 370 citations
5. LLaMA-Adapter: Efficient Fine-tuning of Language Models with Zero-init AttentionarXiv:2303.16199Renrui Zhang, Jiaming Han, Chris Liu, et al.2023 · 333 citations
6. 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
7. 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
8. InternVL3.5: Advancing Open-Source Multimodal Models in Versatility, Reasoning, and EfficiencyarXiv:2508.18265Weiyun Wang, Zhangwei Gao, Lixin Gu, et al.2025 · 179 citations
9. Towards Reasoning Era: A Survey of Long Chain-of-Thought for Reasoning Large Language ModelsScience China Information SciencesQiguang Chen, Libo Qin, Jinhao Liu, et al.2025 · 176 citations
10. Omni-MATH: A Universal Olympiad Level Mathematic Benchmark For Large Language ModelsarXiv:2410.07985Bofei Gao, Feifan Song, Zhe Yang, et al.2024 · 163 citations
11. LLaVA-NeXT-Interleave: Tackling Multi-image, Video, and 3D in Large Multimodal ModelsarXiv:2407.07895Feng Li, Renrui Zhang, Hao Zhang, et al.2024 · 127 citations
12. MMMU-Pro: A More Robust Multi-discipline Multimodal Understanding BenchmarkarXiv:2409.02813Xiang Yue, Tianyu Zheng, Yuansheng Ni, et al.2024 · 123 citations
13. 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
14. Vision-R1: Incentivizing Reasoning Capability in Multimodal Large Language ModelsarXiv:2503.06749Wenxuan Huang, Bohan Jia, Zijie Zhai, et al.2025 · 92 citations
15. GLM-4.5V and GLM-4.1V-Thinking: Towards Versatile Multimodal Reasoning with Scalable Reinforcement LearningarXiv:2507.01006GLM-V Team, Wenyi Hong, Wenmeng Yu, et al.2025 · 89 citations
16. 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
17. AudioBench: A Universal Benchmark for Audio Large Language ModelsConference of the North American Chapter of the Association for Computational Linguistics (NAACL)Bin Wang, Xunlong Zou, Geyu Lin, et al.2025 · 77 citations
18. MMAU: A Massive Multi-Task Audio Understanding and Reasoning BenchmarkarXiv:2410.19168S Sakshi, Utkarsh Tyagi, Sonal Kumar, et al.2024 · 67 citations
19. 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
20. 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
21. 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
22. SFT or RL? An Early Investigation into Training R1-Like Reasoning Large Vision-Language ModelsarXiv:2504.11468Hardy Chen, Haoqin Tu, Fali Wang, et al.2025 · 37 citations
23. Vision-Language Models Can Self-Improve Reasoning via ReflectionConference of the North American Chapter of the Association for Computational Linguistics (NAACL)Kanzhi Cheng, Li YanTao, Fangzhi Xu, et al.2025 · 35 citations
24. MiMo-VL Technical ReportarXiv:2506.03569Xiaomi LLM-Core Team, Zihao Yue, Zhenru Lin, et al.2025 · 33 citations
25. 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
26. 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
27. MM-Verify: Enhancing Multimodal Reasoning with Chain-of-Thought VerificationAnnual Meeting of the Association for Computational Linguistics (ACL)Linzhuang Sun, Hao Liang, Jingxuan Wei, et al.2025 · 19 citations
28. CURIE: Evaluating LLMs On Multitask Scientific Long Context Understanding and ReasoningarXiv:2503.13517Hao Cui, Zahra Shamsi, Gowoon Cheon, et al.2025 · 15 citations
29. U-MATH: A University-Level Benchmark for Evaluating Mathematical Skills in LLMsarXiv:2412.03205Konstantin Chernyshev, Vitaliy Polshkov, Ekaterina Artemova, et al.2024 · 13 citations
30. Mitigating Visual Forgetting via Take-along Visual Conditioning for Multi-modal Long CoT ReasoningAnnual Meeting of the Association for Computational Linguistics (ACL)Hai-Long Sun, Zhun Sun, Houwen Peng, et al.2025 · 12 citations
31. Progressive Multimodal Reasoning via Active RetrievalAnnual Meeting of the Association for Computational Linguistics (ACL)Guanting Dong, Chenghao Zhang, Mengjie Deng, et al.2025 · 10 citations
32. MathGLM-Vision: Solving Mathematical Problems with Multi-Modal Large Language ModelarXiv:2409.13729Zhen Yang, Jinhao Chen, Zhengxiao Du, et al.2024 · 10 citations
33. ViLBench: A Suite for Vision-Language Process Reward ModelingConference on Empirical Methods in Natural Language Processing (EMNLP)Haoqin Tu, Weitao Feng, Hardy Chen, et al.2025 · 9 citations
34. TemplateRL: Structured Template-Guided Reinforcement Learning for LLM ReasoningFindings of the Association for Computational LinguisticsJinyang Wu, Chonghua Liao, Mingkuan Feng, et al.2026 · 8 citations
35. 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
36. ERNIE 5.0 Technical ReportarXiv:2602.04705Haifeng Wang, Hua Wu, Tian Wu, et al.2026 · 7 citations
37. Skywork-R1V3 Technical ReportarXiv:2507.06167Wei Shen, Jiangbo Pei, Yi Peng, et al.2025 · 6 citations
38. ChartVerse: Scaling Chart Reasoning via Reliable Programmatic Synthesis from ScratchAnnual Meeting of the Association for Computational Linguistics (ACL)Zheng Liu, Honglin Lin, Xiaoyang Wang, et al.2026 · 5 citations
39. Unlocking Multilingual Reasoning Capability of LLMs and LVLMs through Representation EngineeringAnnual Meeting of the Association for Computational Linguistics (ACL)Qiming Li, Xiaocheng Feng, Yixuan Ma, et al.2026 · 4 citations
40. MathCanvas: Intrinsic Visual Chain-of-Thought for Multimodal Mathematical ReasoningAnnual Meeting of the Association for Computational Linguistics (ACL)Weikang Shi, Aldrich Yu, Rongyao Fang, et al.2026 · 3 citations
41. SynthRL: Scaling Visual Reasoning with Verifiable Data SynthesisFindings of the Association for Computational LinguisticsZijian Wu, Jinjie Ni, Xiangyan Liu, et al.2026 · 3 citations
42. 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
43. IREASONER: Trajectory-Aware Intrinsic Reasoning Supervision for Self-Evolving Large Multimodal ModelsFindings of the Association for Computational LinguisticsMeghana Sunil, Manikandarajan Venmathimaran, Muthu Subash Kavitha2026 · 2 citations
44. STEP3-VL-10B Technical ReportarXiv:2601.09668Ailin Huang, Chengyuan Yao, Chunrui Han, et al.2026 · 2 citations
45. 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
46. Chart-RL: Generalized Chart Comprehension via Reinforcement Learning with Verifiable RewardsWorkshop on Structured Understanding, Retrieval, and Generation in the LLM EraXin Zhang, Xingyu Li, Rongguang Wang, et al.2026 · 1 citation
47. Compatibility-Aware Dynamic Fine-Tuning for Large Language ModelsAnnual Meeting of the Association for Computational Linguistics (ACL)Yucheng Zhou, Junwei Sheng, Qianning Wang, et al.2026 · 1 citation
48. MMErroR: A Benchmark for Erroneous Reasoning in Vision-Language ModelsAnnual Meeting of the Association for Computational Linguistics (ACL)Yang Shi, Yifeng Xie, Minzhe Guo, et al.2026 · 1 citation
49. RA-RRG: Multimodal Retrieval-Augmented Radiology Report Generation with Key Phrase ExtractionFindings of the Association for Computational LinguisticsJonggwon Park, Byungmu Yoon, Soobum Kim, et al.2026 · 1 citation
50. Seeing but Not Thinking: Routing Distraction in Multimodal Mixture-of-ExpertsAnnual Meeting of the Association for Computational Linguistics (ACL)Haolei Xu, Haiwen Hong, Hongxing Li, et al.2026 · 1 citation
51. Structured and Abstractive Reasoning on Multi-modal Relational Knowledge ImagesFindings of the Association for Computational LinguisticsYichi Zhang, Zhuo Chen, Lingbing Guo, et al.2026 · 1 citation
52. 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
53. A Survey of Multimodal Mathematical Reasoning: From Perception, Alignment to ReasoningAnnual Meeting of the Association for Computational Linguistics (ACL)Tianyu Yang, Sihong Wu, Yilun Zhao, et al.2026
54. Beyond Reasoning Gains: Mitigating General-Capability Forgetting in Large Reasoning ModelsFindings of the Association for Computational LinguisticsHoang Phan, Xianjun Yang, Yuanshun Yao, et al.2026
55. Curriculum Learning based Hierarchical Scoring and Analysis Framework for Question Answering Task EvaluationFindings of the Association for Computational LinguisticsQiong Wu, Tan Yue, Jianxin Liang, et al.2026
56. Datasets for Scientific Literature Understanding: A SurveyFindings of the Association for Computational LinguisticsYuanzhe Zhang, Xun Zhao, Maodi Hu, et al.2026
57. Do Multi-Agents Solve Better Than Single? Evaluating Agentic Frameworks for Diagram-Grounded Geometry Problem Solving and ReasoningConference of the European Chapter of the Association for Computational Linguistics (EACL)Mahbub E Sobhani, Md. Faiyaz Abdullah Sayeedi, Mohammad Nehad Alam, et al.2026
58. EduMARS: Can Vision-Language Models Grade Like Teachers? Benchmarking Multimodal, Rubric-Based Assessment on Chinese K-12 AnswersFindings of the Association for Computational LinguisticsXuan Zhao, Jiashun Chen, Wanting xu, et al.2026
59. Geoparsing: Diagram Parsing for Plane and Solid Geometry with a Unified Formal LanguageFindings of the Association for Computational LinguisticsPeijie Wang, Ming-Liang Zhang, Jun Cao, et al.2026
60. Investigating Cross-Modal Skill Injection: Scenarios, Methods, and HyperparametersAnnual Meeting of the Association for Computational Linguistics (ACL)Zhiyu Xu, Lean Wang, Yuanxin Liu, et al.2026
61. MathSight: A Benchmark Exploring Have Vision-Language Models Really Seen in University-Level Mathematical Reasoning?Annual Meeting of the Association for Computational Linguistics (ACL)Yuandong Wang, Yao Cui, Yuxin Zhao, et al.2026
62. Mind's Eye: A Benchmark of Visual Abstraction, Transformation and Composition for Multimodal LLMsAnnual Meeting of the Association for Computational Linguistics (ACL)Rohit Sinha, Aditya Sanjiv Kanade, Sai Srinivas Kancheti, et al.2026
63. Minimal Free Resolution Guided Adaptive Tree ReasoningAnnual Meeting of the Association for Computational Linguistics (ACL)Dezhao Tang, Meihan Liu, Yulai Tong, et al.2026
64. MMTutorBench: The First Multimodal Benchmark for AI Math TutoringAnnual Meeting of the Association for Computational Linguistics (ACL)Tengchao Yang, Sichen Guo, Mengzhao Jia, et al.2026
65. Multimodal LLMs Do Not Compose Skills Optimally across ModalitiesLanguage Resources and Evaluation Conference (LREC)Paula Ontalvilla, Aitor Ormazabal, Gorka Azkune2026
66. PyraMathBench: Evaluating and Improving Mathematical Capability in Large Language ModelsFindings of the Association for Computational LinguisticsZetian Ouyang, Linlin Wang, Gerard de Melo, et al.2026
67. SimpleOCR: Rendering Visual Questions to Teach MLLMs to ReadFindings of the Association for Computational LinguisticsYibo Peng, Peng Xia, Ding Zhong, et al.2026
68. Targeted Exploration via Unified Entropy Control for Reinforcement LearningFindings of the Association for Computational LinguisticsChen Wang, Lai Wei, Yanzhi Zhang, et al.2026
69. Test-Time Scaling in Multimodal Foundation Models: A Comprehensive Survey of Generation and ReasoningFindings of the Association for Computational LinguisticsCong Wan, Ying He, Zhongzhan Huang, et al.2026
70. VL-Calibration: Decoupled Confidence Calibration for Large Vision-Language Models ReasoningAnnual Meeting of the Association for Computational Linguistics (ACL)Wenyi Xiao, Xinchi XU, Leilei Gan2026

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