🧑‍🔬 Who cites Xudong Lin

307 citations of their works from 296 papers of our library (of the 149,439 whose bibliographies we read) · 62 with a page here, the most cited first · ← Xudong Lin

1. Flamingo: a Visual Language Model for Few-Shot LearningarXiv:2204.14198Jean-Baptiste Alayrac, Jeff Donahue, Pauline Luc, et al.2022 · 2,246 citations
2. Gemini 1.5: Unlocking multimodal understanding across millions of tokens of contextarXiv:2403.05530Gemini Team, Petko Georgiev, Ving Ian Lei, et al.2024 · 1,589 citations
3. Phi-3 Technical Report: A Highly Capable Language Model Locally on Your PhonearXiv:2404.14219Marah Abdin, Jyoti Aneja, Hany Awadalla, et al.2024 · 1,134 citations
4. Qwen2.5-VL Technical ReportarXiv:2502.13923Shuai Bai, Keqin Chen, Xuejing Liu, et al.2025 · 1,031 citations
5. Gemini 2.5: Pushing the Frontier with Advanced Reasoning, Multimodality, Long Context, and Next Generation Agentic CapabilitiesarXiv:2507.06261Gheorghe Comanici, Eric Bieber, Mike Schaekermann, et al.2025 · 974 citations
6. Orca: A Distributed Serving System for Transformer-Based Generative ModelsOSDI 2022Gyeong-In Yu, Joo Seong Jeong, Geon-Woo Kim, et al.2022 · 478 citations
7. LLaVA-OneVision: Easy Visual Task TransferarXiv:2408.03326Bo Li, Yuanhan Zhang, Dong Guo, et al.2024 · 477 citations
8. MVBench: A Comprehensive Multi-modal Video Understanding BenchmarkIEEE Computer Society Conference on Computer Vision and Pattern RecognitionKunchang Li, Yali Wang, Yinan He, et al.2023 · 463 citations
9. 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
10. ViperGPT: Visual Inference via Python Execution for ReasoningIEEE/CVF International Conference on Computer Vision (ICCV)Didac Suris, Sachit Menon, Carl Vondrick2023 · 383 citations
11. Qwen3-VL Technical ReportarXiv:2511.21631Shuai Bai, Yuxuan Cai, Ruizhe Chen, et al.2025 · 370 citations
12. VideoChat: Chat-Centric Video UnderstandingScience China Information SciencesKunChang Li, Yinan He, Yi Wang, et al.2023 · 365 citations
13. 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
14. InternVideo2: Scaling Foundation Models for Multimodal Video UnderstandingLecture notes in computer scienceYi Wang, Kunchang Li, Xinhao Li, et al.2024 · 253 citations
15. 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
16. 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
17. MuRAG: Multimodal Retrieval-Augmented Generator for Open Question Answering over Images and TextConference on Empirical Methods in Natural Language Processing (EMNLP)Wenhu Chen, Hexiang Hu, Xi Chen, et al.2022 · 199 citations
18. InternVL3.5: Advancing Open-Source Multimodal Models in Versatility, Reasoning, and EfficiencyarXiv:2508.18265Weiyun Wang, Zhangwei Gao, Lixin Gu, et al.2025 · 179 citations
19. Phi-4-Mini Technical Report: Compact yet Powerful Multimodal Language Models via Mixture-of-LoRAsarXiv:2503.01743Microsoft, Abdelrahman Abouelenin, Atabak Ashfaq, et al.2025 · 152 citations
20. InternVideo: General Video Foundation Models via Generative and Discriminative LearningarXiv:2212.03191Yi Wang, Kunchang Li, Yizhuo Li, et al.2022 · 144 citations
21. 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
22. MMMU-Pro: A More Robust Multi-discipline Multimodal Understanding BenchmarkarXiv:2409.02813Xiang Yue, Tianyu Zheng, Yuansheng Ni, et al.2024 · 123 citations
23. A Systematic Survey and Critical Review on Evaluating Large Language Models: Challenges, Limitations, and RecommendationsConference on Empirical Methods in Natural Language Processing (EMNLP)Md Tahmid Rahman Laskar, Sawsan Alqahtani, M Saiful Bari, et al.2024 · 105 citations
24. R-Tuning: Instructing Large Language Models to Say ‘I Don't Know'Conference of the North American Chapter of the Association for Computational Linguistics (NAACL)Hanning Zhang, Shizhe Diao, Yong Lin, et al.2024 · 99 citations
25. World Model on Million-Length Video And Language With Blockwise RingAttentionarXiv:2402.08268Hao Liu, Wilson Yan, Matei Zaharia, et al.2024 · 99 citations
26. 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
27. MANTIS: Interleaved Multi-Image Instruction TuningTransactions on Machine Learning ResearchDongfu Jiang, Xuan He, Huaye Zeng, et al.2024 · 74 citations
28. Kimi-VL Technical ReportarXiv:2504.07491Kimi Team, Angang Du, Bohong Yin, et al.2025 · 70 citations
29. Seed1.5-VL Technical ReportarXiv:2505.07062Dong Guo, Faming Wu, Feida Zhu, et al.2025 · 67 citations
30. MMAU: A Massive Multi-Task Audio Understanding and Reasoning BenchmarkarXiv:2410.19168S Sakshi, Utkarsh Tyagi, Sonal Kumar, et al.2024 · 67 citations
31. Kimi K2.5: Visual Agentic IntelligencearXiv:2602.02276Kimi Team, Tongtong Bai, Yifan Bai, et al.2026 · 66 citations
32. A Comprehensive Survey on Long Context Language ModelingarXiv:2503.17407Jiaheng Liu, Dawei Zhu, Zhiqi Bai, et al.2025 · 64 citations
33. mPLUG-Owl3: Towards Long Image-Sequence Understanding in Multi-Modal Large Language ModelsarXiv:2408.04840Jiabo Ye, Haiyang Xu, Haowei Liu, et al.2024 · 60 citations
34. Massively Multi-Cultural Knowledge Acquisition & LM BenchmarkingarXiv:2402.09369Yi Fung, Ruining Zhao, Jae Doo, et al.2024 · 56 citations
35. Michelangelo: Long Context Evaluations Beyond Haystacks via Latent Structure QueriesarXiv:2409.12640Kiran Vodrahalli; Santiago Ontanon; Nilesh Tripuraneni; Kelvin Xu; Sanil Jain; Rakesh Shivanna; Jeffrey Hui; Nishanth Dikkala; Mehran Kazemi; Bahare Fatemi; Rohan Anil; Ethan Dyer; Siamak Shakeri; Roopali Vij; Harsh Mehta; Vinay Ramasesh; Quoc Le; Ed Chi; Yifeng Lu; Orhan Firat; Angeliki Lazaridou; Jean-Baptiste Lespiau; Nithya Attaluri;, Kate Olszewska2024 · 35 citations
36. MiMo-VL Technical ReportarXiv:2506.03569Xiaomi LLM-Core Team, Zihao Yue, Zhenru Lin, et al.2025 · 33 citations
37. CAMEL-Bench: A Comprehensive Arabic LMM BenchmarkFindings of the Association for Computational LinguisticsSara Ghaboura, Ahmed Heakl, Omkar Thawakar, et al.2025 · 22 citations
38. GSM-Infinite: How Do Your LLMs Behave over Infinitely Increasing Context Length and Reasoning Complexity?arXiv:2502.05252Yang Zhou, Hongyi Liu, Zhuoming Chen, et al.2025 · 21 citations
39. Multimodal Needle in a Haystack: Benchmarking Long-Context Capability of Multimodal Large Language ModelsConference of the North American Chapter of the Association for Computational Linguistics (NAACL)Hengyi Wang, Haizhou Shi, Shiwei Tan, et al.2025 · 21 citations
40. What Is That Talk About? A Video-to-Text Summarization Dataset for Scientific PresentationsAnnual Meeting of the Association for Computational Linguistics (ACL)Dongqi Liu, Chenxi Whitehouse, Xi Yu, et al.2025 · 13 citations
41. 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
42. On Many-Shot In-Context Learning for Long-Context EvaluationAnnual Meeting of the Association for Computational Linguistics (ACL)Kaijian Zou, Muhammad Khalifa, Lu Wang2025 · 8 citations
43. End-to-end Neural Coreference Resolution Revisited: A Simple yet Effective BaselinearXiv:2107.01700Tuan Manh Lai, Trung Bui, Doo Soon Kim2021 · 8 citations
44. ERNIE 5.0 Technical ReportarXiv:2602.04705Haifeng Wang, Hua Wu, Tian Wu, et al.2026 · 7 citations
45. CAFE: Retrieval Head-based Coarse-to-Fine Information Seeking to Enhance Multi-Document QA CapabilityConference on Empirical Methods in Natural Language Processing (EMNLP)Han Peng, Jinhao Jiang, Zican Dong, et al.2025 · 4 citations
46. STEP3-VL-10B Technical ReportarXiv:2601.09668Ailin Huang, Chengyuan Yao, Chunrui Han, et al.2026 · 2 citations
47. From Pixels to BFS: High Maze Accuracy Does Not Imply Visual PlanningWorkshop on Advances in Language and Vision Research (ALVR)Rodriguez Salgado, Alberto Gonzalo2026 · 1 citation
48. RotBench: Evaluating Multi-modal Large Language Models on Identifying Image RotationConference of the European Chapter of the Association for Computational Linguistics (EACL)Tianyi Niu, Jaemin Cho, Elias Stengel-Eskin, et al.2026 · 1 citation
49. Visually-Guided Policy Optimization for Multimodal ReasoningAnnual Meeting of the Association for Computational Linguistics (ACL)Zengbin Wang, Feng Xiong, Liang Lin, et al.2026 · 1 citation
50. When Vision-Language Models Judge Without Seeing: Exposing Informativeness BiasAnnual Meeting of the Association for Computational Linguistics (ACL)Xiaohan Zou, Roshan Sridhar, Mohammadtaher Safarzadeh, et al.2026 · 1 citation
51. Zero-Shot Multimodal Retrieval with Multi-Scale Contextual RepresentationsAnnual Meeting of the Association for Computational Linguistics (ACL)Sourajit Saha, Tejas Gokhale2026 · 1 citation
52. ARM2: Adaptive Reasoning Model with Vision Understanding and Executable CodeFindings of the Association for Computational LinguisticsJian Xie, Zhendong Chu, Aoxiao Zhong, et al.2026
53. Augmenting LLM Reasoning with Dynamic Notes Writing for Complex MultiHop QALanguage Resources and Evaluation Conference (LREC)Rishabh Maheshwary, Masoud Hashemi, Khyati Mahajan, et al.2026
54. Cross-Modal Taxonomic Generalization in (Vision-) Language ModelsAnnual Meeting of the Association for Computational Linguistics (ACL)Tianyang Xu, Marcelo Sandoval-Castañeda, Karen Livescu, et al.2026
55. Evaluating Discriminability of Vision-Language ModelsLanguage Resources and Evaluation Conference (LREC)Masayasu Muraoka, Naoaki Okazaki2026
56. Exploring Fine-Tuning for In-Context Retrieval and Efficient KV-Caching in Long-Context Language ModelsConference of the European Chapter of the Association for Computational Linguistics (EACL)Francesco Maria Molfese, Momchil Hardalov, Rexhina Blloshmi, et al.2026
57. From Attenuation to Attention: Variational Information Flow Manipulation for Fine-Grained Visual PerceptionFindings of the Association for Computational LinguisticsJilong Zhu, Yang Feng2026
58. 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
59. S2H-DPO: Hardness-Aware Preference Optimization for Vision–Language ModelsFindings of the Association for Computational LinguisticsNitish Shukla, Surgan Jandial, Arun Ross2026
60. Seeing the Other Side: Diagnostic Tasks for Viewpoint Reasoning in Vision–Language ModelsLanguage Resources and Evaluation Conference (LREC)Makoto Takenaka, Hitomi Yanaka2026
61. To Skip, to Swap or to Not Swap? Identifying Step Transition Types in Instructional ManualsLanguage Resources and Evaluation Conference (LREC)Hsiu-Yu Yang, Michael Roth, Andreas Bulling, et al.2026
62. LC-Eval: A Bilingual Multi-Task Evaluation Benchmark for Long-Context UnderstandingFindings of the Association for Computational LinguisticsSheikh Jubair, Arwa Omayrah, Amal Alshammari, et al.2025

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