🧑‍🔬 Who cites Xinggang Wang

617 citations of their works from 588 papers of our library (of the 149,439 whose bibliographies we read) · 73 with a page here, the most cited first · ← Xinggang Wang

1. An Image is Worth 16x16 Words: Transformers for Image Recognition at ScalearXiv:2010.11929Alexey Dosovitskiy, Lucas Beyer, Alexander Kolesnikov, et al.2020 · 23,726 citations
2. A Survey of Large Language ModelsFrontiers of Computer ScienceWayne Xin Zhao, Kun Zhou, Junyi Li, et al.2023 · 2,875 citations
3. Improved Baselines with Visual Instruction TuningIEEE Computer Society Conference on Computer Vision and Pattern RecognitionHaotian Liu, Chunyuan Li, Yuheng Li, et al.2023 · 2,614 citations
4. BLIP-2: Bootstrapping Language-Image Pre-training with Frozen Image Encoders and Large Language ModelsarXiv:2301.12597Junnan Li, Dongxu Li, Silvio Savarese, et al.2023 · 2,219 citations
5. Efficient Transformers: A SurveyACM Computing SurveysYi Tay, Mostafa Dehghani, Dara Bahri, et al.2020 · 1,539 citations
6. DINOv2: Learning Robust Visual Features without SupervisionarXiv:2304.07193Maxime Oquab, Timothee Darcet, Theo Moutakanni, et al.2023 · 1,513 citations
7. MiniGPT-4: Enhancing Vision-Language Understanding with Advanced Large Language ModelsarXiv:2304.10592Deyao Zhu, Jun Chen, Xiaoqian Shen, et al.2023 · 1,141 citations
8. InstructBLIP: Towards General-purpose Vision-Language Models with Instruction TuningarXiv:2305.06500Wenliang Dai, Junnan Li, Dongxu Li, et al.2023 · 1,100 citations
9. Reproducible scaling laws for contrastive language-image learningIEEE Computer Society Conference on Computer Vision and Pattern RecognitionMehdi Cherti, Romain Beaumont, Ross Wightman, et al.2022 · 769 citations
10. OCR-free Document Understanding TransformerLecture notes in computer scienceGeewook Kim, Teakgyu Hong, Moonbin Yim, et al.2021 · 584 citations
11. Vision Mamba: Efficient Visual Representation Learning with Bidirectional State Space ModelarXiv:2401.09417Lianghui Zhu, Bencheng Liao, Qian Zhang, et al.2024 · 500 citations
12. ShareGPT4V: Improving Large Multi-Modal Models with Better CaptionsLecture notes in computer scienceLin Chen, Jinsong Li, Xiaoyi Dong, et al.2023 · 454 citations
13. InternVL: Scaling up Vision Foundation Models and Aligning for Generic Visual-Linguistic TasksarXiv:2312.14238Zhe Chen, Jiannan Wu, Wenhai Wang, et al.2023 · 435 citations
14. MM-Vet: Evaluating Large Multimodal Models for Integrated CapabilitiesarXiv:2308.02490Weihao Yu, Zhengyuan Yang, Linjie Li, et al.2023 · 344 citations
15. 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
16. 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
17. LLaMA-VID: An Image is Worth 2 Tokens in Large Language ModelsLecture notes in computer scienceYanwei Li, Chengyao Wang, Jiaya Jia2023 · 262 citations
18. Visual Adversarial Examples Jailbreak Aligned Large Language ModelsProceedings of the AAAI Conference on Artificial IntelligenceXiangyu Qi, Kaixuan Huang, Ashwinee Panda, et al.2023 · 240 citations
19. OPERA: Alleviating Hallucination in Multi-Modal Large Language Models via Over-Trust Penalty and Retrospection-AllocationIEEE Computer Society Conference on Computer Vision and Pattern RecognitionQidong Huang, Xiaoyi Dong, Pan Zhang, et al.2023 · 238 citations
20. Video-LLaMA: An Instruction-tuned Audio-Visual Language Model for Video UnderstandingarXiv:2306.02858Hang Zhang, Xin Li, Lidong Bing2023 · 238 citations
21. Prometheus 2: An Open Source Language Model Specialized in Evaluating Other Language ModelsarXiv:2405.01535Seungone Kim, Juyoung Suk, Shayne Longpre, et al.2024 · 234 citations
22. BLINK: Multimodal Large Language Models Can See but Not PerceiveLecture notes in computer scienceXingyu Fu, Yushi Hu, Bangzheng Li, et al.2024 · 206 citations
23. MiniGPT-v2: large language model as a unified interface for vision-language multi-task learningarXiv:2310.09478Jun Chen, Deyao Zhu, Xiaoqian Shen, et al.2023 · 199 citations
24. LLMs-as-Judges: A Comprehensive Survey on LLM-based Evaluation MethodsarXiv:2412.05579Haitao Li, Qian Dong, Junjie Chen, et al.2024 · 195 citations
25. FigStep: Jailbreaking Large Vision-Language Models via Typographic Visual PromptsProceedings of the AAAI Conference on Artificial IntelligenceYichen Gong, Delong Ran, Jinyuan Liu, et al.2023 · 163 citations
26. Are aligned neural networks adversarially aligned?Conference on Neural Information Processing Systems (NeurIPS)Nicholas Carlini, Milad Nasr, Christopher A. Choquette-Choo, et al.2023 · 157 citations
27. LLMs instead of Human Judges? A Large Scale Empirical Study across 20 NLP Evaluation TasksarXiv:2406.18403Anna Bavaresco, Raffaella Bernardi, Leonardo Bertolazzi, et al.2024 · 141 citations
28. Replacing Judges with Juries: Evaluating LLM Generations with a Panel of Diverse ModelsarXiv:2404.18796Pat Verga, Sebastian Hofstatter, Sophia Althammer, et al.2024 · 138 citations
29. A Survey on Efficient Inference for Large Language ModelsarXiv:2404.14294Zixuan Zhou, Xuefei Ning, Ke Hong, et al.2024 · 113 citations
30. JudgeBench: A Benchmark for Evaluating LLM-based JudgesarXiv:2410.12784Sijun Tan, Siyuan Zhuang, Kyle Montgomery, et al.2024 · 101 citations
31. Transformer Quality in Linear TimearXiv:2202.10447Weizhe Hua, Zihang Dai, Hanxiao Liu, et al.2022 · 99 citations
32. InternLM-XComposer2: Mastering Free-form Text-Image Composition and Comprehension in Vision-Language Large ModelarXiv:2401.16420Xiaoyi Dong, Pan Zhang, Yuhang Zang, et al.2024 · 94 citations
33. InternLM-XComposer: A Vision-Language Large Model for Advanced Text-image Comprehension and CompositionarXiv:2309.15112Pan Zhang, Xiaoyi Dong, Bin Wang, et al.2023 · 87 citations
34. Is LLM-as-a-Judge Robust? Investigating Universal Adversarial Attacks on Zero-shot LLM AssessmentConference on Empirical Methods in Natural Language Processing (EMNLP)Vyas Raina, Adian Liusie, Mark Gales2024 · 86 citations
35. Benchmark Data Contamination of Large Language Models: A SurveyarXiv:2406.04244Cheng Xu, Shuhao Guan, Derek Greene, et al.2024 · 85 citations
36. Judging the Judges: A Systematic Study of Position Bias in LLM-as-a-JudgeInternational Joint Conference on Natural Language Processing (IJCNLP)Lin Shi, Chiyu Ma, Wenhua Liang, et al.2025 · 71 citations
37. CritiqueLLM: Towards an Informative Critique Generation Model for Evaluation of Large Language Model GenerationarXiv:2311.18702Pei Ke, Bosi Wen, Zhuoer Feng, et al.2023 · 69 citations
38. Seed1.5-VL Technical ReportarXiv:2505.07062Dong Guo, Faming Wu, Feida Zhu, et al.2025 · 67 citations
39. OffsetBias: Leveraging Debiased Data for Tuning EvaluatorsFindings of the Association for Computational LinguisticsJunsoo Park, Seungyeon Jwa, Ren Meiying, et al.2024 · 67 citations
40. MLLM-as-a-Judge: Assessing Multimodal LLM-as-a-Judge with Vision-Language BenchmarkarXiv:2402.04788Dongping Chen, Ruoxi Chen, Shilin Zhang, et al.2024 · 60 citations
41. MMICL: Empowering Vision-language Model with Multi-Modal In-Context LearningarXiv:2309.07915Haozhe Zhao, Zefan Cai, Shuzheng Si, et al.2023 · 58 citations
42. The Alternative Annotator Test for LLM-as-a-Judge: How to Statistically Justify Replacing Human Annotators with LLMsAnnual Meeting of the Association for Computational Linguistics (ACL)Nitay Calderon, Roi Reichart, Rotem Dror2025 · 52 citations
43. CheckEval: A reliable LLM-as-a-Judge framework for evaluating text generation using checklistsConference on Empirical Methods in Natural Language Processing (EMNLP)Yukyung Lee, JoongHoon Kim, Jaehee Kim, et al.2025 · 37 citations
44. The Hidden Attention of Mamba ModelsAnnual Meeting of the Association for Computational Linguistics (ACL)Ameen Ali Ali, Itamar Zimerman, Lior Wolf2025 · 32 citations
45. ArAIEval Shared Task: Propagandistic Techniques Detection in Unimodal and Multimodal Arabic ContentArabic Natural Language Processing Conference (ArabicNLP)Maram Hasanain, Md. Arid Hasan, Fatema Ahmad, et al.2024 · 32 citations
46. CompassVerifier: A Unified and Robust Verifier for LLMs Evaluation and Outcome RewardConference on Empirical Methods in Natural Language Processing (EMNLP)Shudong Liu, Hongwei Liu, Junnan Liu, et al.2025 · 16 citations
47. CalibraEval: Calibrating Prediction Distribution to Mitigate Selection Bias in LLMs-as-JudgesAnnual Meeting of the Association for Computational Linguistics (ACL)Haitao Li, Junjie Chen, Qingyao Ai, et al.2025 · 15 citations
48. A Survey on Efficient Large Language Model Training: From Data-centric PerspectivesAnnual Meeting of the Association for Computational Linguistics (ACL)Junyu Luo, Bohan Wu, Xiao Luo, et al.2025 · 14 citations
49. CodeJudgeBench: Benchmarking LLM-as-a-Judge for Coding TasksAnnual Meeting of the Association for Computational Linguistics (ACL)Hongchao Jiang, Yiming Chen, Yushi Cao, et al.2026 · 13 citations
50. Beyond the Surface: Measuring Self-Preference in LLM JudgmentsConference on Empirical Methods in Natural Language Processing (EMNLP)Zhi-Yuan Chen, Hao Wang, Xinyu Zhang, et al.2025 · 10 citations
51. Can Many-Shot In-Context Learning Help LLMs as Evaluators? A Preliminary Empirical StudyInternational Conference on Computational Linguistics (COLING)Mingyang Song, Mao Zheng, Xuan Luo2025 · 9 citations
52. HunyuanOCR Technical ReportarXiv:2511.19575Hunyuan Vision Team, Pengyuan Lyu, Xingyu Wan, et al.2025 · 9 citations
53. Sentient Agent as a Judge: Evaluating Higher-Order Social Cognition in Large Language ModelsFindings of the Association for Computational LinguisticsBang Zhang, Ruotian Ma, Qingxuan Jiang, et al.2026 · 6 citations
54. Collaborative Multi-Agent Scripts Generation for Enhancing Imperfect-Information Reasoning in Murder Mystery GamesFindings of the Association for Computational LinguisticsKeyang Zhong, Junlin Xie, Hefeng Wu, et al.2026 · 5 citations
55. Don't Judge Code by Its Cover: Exploring Biases in LLM Judges for Code EvaluationFindings of the Association for Computational LinguisticsJiwon Moon, Yerin Hwang, Dongryeol Lee, et al.2026 · 5 citations
56. How Long Reasoning Chains Influence LLMs' Judgment of Answer FactualityAnnual Meeting of the Association for Computational Linguistics (ACL)Minzhu Tu, Shiyu Ni, Keping Bi2026 · 3 citations
57. CLTL at ArAIEval Shared Task: Multimodal Propagandistic Memes Classification Using Transformer ModelsArabic Natural Language Processing Conference (ArabicNLP)Yeshan Wang, Ilia Markov2024 · 3 citations
58. Instruction-Guided Poetry Generation in Arabic and Its DialectsFindings of the Association for Computational LinguisticsAbdelrahman Sadallah, Kareem Elozeiri, Mervat Abassy, et al.2026 · 2 citations
59. Why Do More Experts Fail? A Theoretical Analysis of Model MergingAnnual Meeting of the Association for Computational Linguistics (ACL)Zijing Wang, Xingle Xu, YongKang Liu, et al.2026 · 2 citations
60. Automated Creativity Evaluation of Language Models Across Open-Ended TasksAnnual Meeting of the Association for Computational Linguistics (ACL)Tan Min Sen, Zachary Choy Kit Chun, Syed Ali Redha Alsagoff, et al.2026 · 1 citation
61. AraSSM: A bidirectional state-space encoder for Arabic masked language modelingarXiv:2608.08256Ahmed Amine Aliane, Hassina Aliane, Nasredine Semmar2026
62. Beyond Ranking: Fine-Grained Diagnostics and Self-Improvement for MLLMsAnnual Meeting of the Association for Computational Linguistics (ACL)Mingze Xu, Zijing Zhao, Qiming Peng, et al.2026
63. Calibrating LLM Judges: Linear Probes for Fast and Reliable Uncertainty EstimationAnnual Meeting of the Association for Computational Linguistics (ACL)Bhaktipriya Radharapu, Eshika Saxena, Kenneth Li, et al.2026
64. Can AI Revise Research Papers with Human Review Feedback? An Empirical Study and BenchmarkFindings of the Association for Computational LinguisticsZihan Luo, Hong Huang, Jianxun Lian, et al.2026
65. 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
66. 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
67. GaLa: Hypergraph-Guided Visual Language Models for Procedural PlanningFindings of the Association for Computational LinguisticsKun Wang, Li Yiming, Mingcheng Qu, et al.2026
68. InsideOut: Measuring and Mitigating Insider–Outsider Bias in Interview Script GenerationAnnual Meeting of the Association for Computational Linguistics (ACL)Yixin Wan, Xingrun Chen, Kai-Wei Chang2026
69. Judging Instruction Responses in a Low-Resource Language: A Case Study on BasqueLanguage Resources and Evaluation Conference (LREC)David Ponce, Harritxu Gete, Thierry Etchegoyhen, et al.2026
70. Leave My Images Alone: Preventing Multi-Modal Large Language Models from Analyzing Images via Visual Prompt InjectionAnnual Meeting of the Association for Computational Linguistics (ACL)Zedian Shao, Hongbin Liu, Yuepeng Hu, et al.2026
71. Mitigating Judgment Preference Bias in Large Language Models through Group-Based PollingFindings of the Association for Computational LinguisticsShuliang Liu, Zhipeng Xu, Zhenghao Liu, et al.2026
72. Synthetic Eggs in Many Baskets: The Impact of Synthetic Data Diversity on LLM Fine-TuningFindings of the Association for Computational LinguisticsMax Schaffelder, Albert Gatt2026
73. Tricking Open-World Object Recognition Models: Uncertainty in Out-of-Distribution DetectionWorkshop on Towards Knowledgeable Foundation ModelsWout Teillers, Matias Valdenegro-Toro2026

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