🧑‍🔬 Who cites Kevin P. Murphy

1,196 citations of their works from 1,107 papers of our library (of the 149,439 whose bibliographies we read) · 95 with a page here, the most cited first · ← Kevin P. Murphy

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. Momentum Contrast for Unsupervised Visual Representation LearningIEEE Computer Society Conference on Computer Vision and Pattern RecognitionKaiming He, Haoqi Fan, Yuxin Wu, et al.2019 · 13,302 citations
3. MobileNets: Efficient Convolutional Neural Networks for Mobile Vision ApplicationsarXiv:1704.04861Andrew G. Howard, Menglong Zhu, Bo Chen, et al.2017 · 9,729 citations
4. Learning Transferable Architectures for Scalable Image RecognitionIEEE Computer Society Conference on Computer Vision and Pattern RecognitionBarret Zoph, Vijay Vasudevan, Jonathon Shlens, et al.2017 · 6,583 citations
5. Pre-train, Prompt, and Predict: A Systematic Survey of Prompting Methods in Natural Language ProcessingACM Computing SurveysPengfei Liu, Weizhe Yuan, Jinlan Fu, et al.2021 · 5,423 citations
6. EfficientNet: Rethinking Model Scaling for Convolutional Neural NetworksInternational Conference on Machine Learning (ICML)Mingxing Tan, Quoc V. Le2019 · 5,416 citations
7. On the Opportunities and Risks of Foundation ModelsarXiv:2108.07258Rishi Bommasani, Drew A. Hudson, Ehsan Adeli, et al.2021 · 3,160 citations
8. CodeBERT: A Pre-Trained Model for Programming and Natural LanguagesFindings of the Association for Computational LinguisticsZhangyin Feng, Daya Guo, Duyu Tang, et al.2020 · 2,967 citations
9. 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
10. UNITER: UNiversal Image-TExt Representation LearningLecture notes in computer scienceYen-Chun Chen, Linjie Li, Licheng Yu, et al.2019 · 2,418 citations
11. Conceptual Captions: A Cleaned, Hypernymed, Image Alt-text Dataset For Automatic Image CaptioningAnnual Meeting of the Association for Computational Linguistics (ACL)Piyush Sharma, Nan Ding, Sebastian Goodman, et al.2018 · 2,348 citations
12. ViLBERT: Pretraining Task-Agnostic Visiolinguistic Representations for Vision-and-Language TasksarXiv:1908.02265Jiasen Lu, Dhruv Batra, Devi Parikh, et al.2019 · 2,302 citations
13. Flamingo: a Visual Language Model for Few-Shot LearningarXiv:2204.14198Jean-Baptiste Alayrac, Jeff Donahue, Pauline Luc, et al.2022 · 2,246 citations
14. Focal Loss for Dense Object DetectionarXiv:1708.02002Tsung-Yi Lin, Priya Goyal, Ross Girshick, et al.2017 · 1,995 citations
15. Oscar: Object-Semantics Aligned Pre-training for Vision-Language TasksLecture notes in computer scienceXiujun Li, Xi Yin, Chunyuan Li, et al.2020 · 1,877 citations
16. Pre-trained Models for Natural Language Processing: A SurveyarXiv:2003.08271 · SCIENCE CHINA Technological Sciences,2020, 63, 1872-1897Xipeng Qiu, Tianxiang Sun, Yige Xu, et al.2020 · 1,759 citations
17. VisualBERT: A Simple and Performant Baseline for Vision and LanguagearXiv:1908.03557Liunian Harold Li, Mark Yatskar, Da Yin, et al.2019 · 1,568 citations
18. Vision-and-Language Navigation: Interpreting visually-grounded navigation instructions in real environmentsIEEE Computer Society Conference on Computer Vision and Pattern RecognitionPeter Anderson, Qi Wu, Damien Teney, et al.2017 · 1,414 citations
19. Generative Modeling by Estimating Gradients of the Data DistributionarXiv:1907.05600Yang Song, Stefano Ermon2019 · 1,274 citations
20. Modeling Context in Referring ExpressionsLecture notes in computer scienceLicheng Yu, Patrick Poirson, Shan Yang, et al.2016 · 1,203 citations
21. VL-BERT: Pre-training of Generic Visual-Linguistic RepresentationsarXiv:1908.08530Weijie Su, Xizhou Zhu, Yue Cao, et al.2019 · 1,066 citations
22. Qwen2.5-VL Technical ReportarXiv:2502.13923Shuai Bai, Keqin Chen, Xuejing Liu, et al.2025 · 1,031 citations
23. Qwen-VL: A Versatile Vision-Language Model for Understanding, Localization, Text Reading, and BeyondarXiv:2308.12966Jinze Bai, Shuai Bai, Shusheng Yang, et al.2023 · 970 citations
24. Do As I Can, Not As I Say: Grounding Language in Robotic AffordancesarXiv:2204.01691Michael Ahn, Anthony Brohan, Noah Brown, et al.2022 · 941 citations
25. 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
26. Unified Pre-training for Program Understanding and GenerationConference of the North American Chapter of the Association for Computational Linguistics (NAACL)Wasi Ahmad, Saikat Chakraborty, Baishakhi Ray, et al.2021 · 750 citations
27. Integrating Multimodal Information in Large Pretrained TransformersAnnual Meeting of the Association for Computational Linguistics (ACL)Wasifur Rahman, Md Kamrul Hasan, Sangwu Lee, et al.2020 · 746 citations
28. A Corpus for Reasoning About Natural Language Grounded in Photographs (NLVR2)Alane Suhr, Stephanie Zhou, Ally Zhang, et al.2019 · 670 citations
29. LayoutLMv2: Multi-modal Pre-training for Visually-rich Document UnderstandingAnnual Meeting of the Association for Computational Linguistics (ACL)Yang Xu, Yiheng Xu, Tengchao Lv, et al.2021 · 627 citations
30. Massive Exploration of Neural Machine Translation ArchitecturesConference on Empirical Methods in Natural Language Processing (EMNLP)Denny Britz, Anna Goldie, Minh-Thang Luong, et al.2017 · 574 citations
31. 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
32. Unleashing the potential of prompt engineering for large language modelsarXiv:2310.14735 · Patterns 6(6) 101,260 (2025)Banghao Chen, Zhaofeng Zhang, Nicolas Langrene, et al.2023 · 536 citations
33. Training data-efficient image transformers & distillation through attentionarXiv:2012.12877Hugo Touvron, Matthieu Cord, Matthijs Douze, et al.2020 · 524 citations
34. HERO: Hierarchical Encoder for Video+Language Omni-representation Pre-trainingConference on Empirical Methods in Natural Language Processing (EMNLP)Linjie Li, Yen-Chun Chen, Yu Cheng, et al.2020 · 481 citations
35. OFA: Unifying Architectures, Tasks, and Modalities Through a Simple Sequence-to-Sequence Learning FrameworkarXiv:2202.03052Peng Wang, An Yang, Rui Men, et al.2022 · 467 citations
36. Experience Grounds LanguageConference on Empirical Methods in Natural Language Processing (EMNLP)Yonatan Bisk, Ari Holtzman, Jesse Thomason, et al.2020 · 439 citations
37. 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
38. Green AIarXiv:1907.10597Roy Schwartz, Jesse Dodge, Noah A. Smith, et al.2019 · 389 citations
39. CogVLM: Visual Expert for Pretrained Language ModelsConference on Neural Information Processing Systems (NeurIPS)Weihan Wang, Qingsong Lv, Wenmeng Yu, et al.2023 · 383 citations
40. VILA: On Pre-training for Visual Language ModelsIEEE Computer Society Conference on Computer Vision and Pattern RecognitionJi Lin, Hongxu Yin, Wei Ping, et al.2023 · 381 citations
41. Qwen3-VL Technical ReportarXiv:2511.21631Shuai Bai, Yuxuan Cai, Ruizhe Chen, et al.2025 · 370 citations
42. VideoChat: Chat-Centric Video UnderstandingScience China Information SciencesKunChang Li, Yinan He, Yi Wang, et al.2023 · 365 citations
43. Text and Code Embeddings by Contrastive Pre-TrainingarXiv:2201.10005Arvind Neelakantan, Tao Xu, Raul Puri, et al.2022 · 323 citations
44. ALFWorld: Aligning Text and Embodied Environments for Interactive LearningarXiv:2010.03768Mohit Shridhar, Xingdi Yuan, Marc-Alexandre Côté, et al.2020 · 322 citations
45. 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
46. Kosmos-2: Grounding Multimodal Large Language Models to the WorldarXiv:2306.14824Zhiliang Peng, Wenhui Wang, Li Dong, et al.2023 · 286 citations
47. Towards Debiasing Sentence RepresentationsAnnual Meeting of the Association for Computational Linguistics (ACL)Paul Pu Liang, Irene Mengze Li, Emily Zheng, et al.2020 · 262 citations
48. SemEval-2020 Task 8: Memotion Analysis- the Visuo-Lingual Metaphor!International Workshop on Semantic Evaluation (SemEval)Chhavi Sharma, Deepesh Bhageria, William Scott, et al.2020 · 261 citations
49. Efficient, Feature-based, Conditional Random Field ParsingAnnual Meeting of the Association for Computational Linguistics (ACL)Jenny Rose Finkel, Alex Kleeman, Christopher D. Manning2008 · 261 citations
50. Knowledge-Grounded Dialogue Generation with Pre-trained Language ModelsConference on Empirical Methods in Natural Language Processing (EMNLP)Xueliang Zhao, Wei Wu, Can Xu, et al.2020 · 246 citations
51. Qwen2.5-Omni Technical ReportarXiv:2503.20215Jin Xu, Zhifang Guo, Jinzheng He, et al.2025 · 227 citations
52. 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
53. Shikra: Unleashing Multimodal LLM's Referential Dialogue MagicarXiv:2306.15195Keqin Chen, Zhao Zhang, Weili Zeng, et al.2023 · 210 citations
54. DeepSeek-VL: Towards Real-World Vision-Language UnderstandingarXiv:2403.05525Haoyu Lu, Wen Liu, Bo Zhang, et al.2024 · 208 citations
55. 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
56. Mitigating Hallucination in Large Multi-Modal Models via Robust Instruction TuningarXiv:2306.14565Fuxiao Liu, Kevin Lin, Linjie Li, et al.2023 · 189 citations
57. InternVL3.5: Advancing Open-Source Multimodal Models in Versatility, Reasoning, and EfficiencyarXiv:2508.18265Weiyun Wang, Zhangwei Gao, Lixin Gu, et al.2025 · 179 citations
58. What Artificial Neural Networks Can Tell Us About Human Language AcquisitionarXiv:2208.07998Alex Warstadt, Samuel R. Bowman2022 · 177 citations
59. Practical Very Large Scale CRFsAnnual Meeting of the Association for Computational Linguistics (ACL)Thomas Lavergne, Olivier Cappé, François Yvon2010 · 152 citations
60. InternVideo: General Video Foundation Models via Generative and Discriminative LearningarXiv:2212.03191Yi Wang, Kunchang Li, Yizhuo Li, et al.2022 · 144 citations
61. Multimodal Pretraining Unmasked: A Meta-Analysis and a Unified Framework of Vision-and-Language BERTsTransactions of the Association for Computational Linguistics (TACL)Emanuele Bugliarello, Ryan Cotterell, Naoaki Okazaki, et al.2021 · 141 citations
62. DeepSeek-VL2: Mixture-of-Experts Vision-Language Models for Advanced Multimodal UnderstandingarXiv:2412.10302Zhiyu Wu, Xiaokang Chen, Zizheng Pan, et al.2024 · 137 citations
63. Can Language Models Encode Perceptual Structure Without Grounding? A Case Study in ColorConference on Computational Natural Language Learning (CoNLL)Mostafa Abdou, Artur Kulmizev, Daniel Hershcovich, et al.2021 · 122 citations
64. 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
65. Unified Pragmatic Models for Generating and Following InstructionsConference of the North American Chapter of the Association for Computational Linguistics (NAACL)Daniel Fried, Jacob Andreas, Dan Klein2018 · 115 citations
66. Pragmatically Informative Image Captioning with Character-Level InferenceConference of the North American Chapter of the Association for Computational Linguistics (NAACL)Reuben Cohn-Gordon, Noah Goodman, Christopher Potts2018 · 103 citations
67. Perspective-taking and Pragmatics for Generating Empathetic Responses Focused on Emotion CausesConference on Empirical Methods in Natural Language Processing (EMNLP)Hyunwoo Kim, Byeongchang Kim, Gunhee Kim2021 · 90 citations
68. Will I Sound Like Me? Improving Persona Consistency in Dialogues through Pragmatic Self-ConsciousnessConference on Empirical Methods in Natural Language Processing (EMNLP)Hyunwoo Kim, Byeongchang Kim, Gunhee Kim2020 · 83 citations
69. Pragmatically Informative Text GenerationSheng Shen, Daniel Fried, Jacob Andreas, et al.2019 · 78 citations
70. The PhotoBook Dataset: Building Common Ground through Visually-Grounded DialogueAnnual Meeting of the Association for Computational Linguistics (ACL)Janosch Haber, Tim Baumgärtner, Ece Takmaz, et al.2019 · 53 citations
71. What You See is What You Get: Visual Pronoun Coreference Resolution in DialoguesConference on Empirical Methods in Natural Language Processing (EMNLP)Xintong Yu, Hongming Zhang, Yangqiu Song, et al.2019 · 42 citations
72. Pragmatics in Language Grounding: Phenomena, Tasks, and Modeling ApproachesFindings of the Association for Computational LinguisticsDaniel Fried, Nicholas Tomlin, Jennifer Hu, et al.2023 · 38 citations
73. Continual Adaptation for Efficient Machine CommunicationConference on Computational Natural Language Learning (CoNLL)Robert Hawkins, Minae Kwon, Dorsa Sadigh, et al.2020 · 38 citations
74. An Incremental Iterated Response Model of PragmaticsProceedings of the Society for Computation in Linguistics (SCiL) 2019Reuben Cohn-Gordon, Noah Goodman, Christopher Potts2019 · 35 citations
75. Speech Act Modeling of Written Asynchronous Conversations with Task-Specific Embeddings and Conditional Structured ModelsAnnual Meeting of the Association for Computational Linguistics (ACL)Shafiq Joty, Enamul Hoque2016 · 27 citations
76. Know What You Don't Know: Modeling a Pragmatic Speaker that Refers to Objects of Unknown CategoriesSina Zarrieß, David Schlangen2019 · 24 citations
77. Dating ancient manuscripts using radiocarbon and AI-based writing style analysisMladen Popovic, Maruf A. Dhali, Lambert Schomaker, et al.2024 · 23 citations
78. Computational Language Acquisition with Theory of MindarXiv:2303.01502Andy Liu, Hao Zhu, Emmy Liu, et al.2023 · 21 citations
79. Pragmatic Issue-Sensitive Image CaptioningFindings of the Association for Computational LinguisticsAllen Nie, Reuben Cohn-Gordon, Christopher Potts2020 · 21 citations
80. Modeling Speech Acts in Asynchronous Conversations: A Neural-CRF ApproachShafiq Joty, Tasnim Mohiuddin2018 · 20 citations
81. 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
82. Decoding, Fast and Slow: A Case Study on Balancing Trade-Offs in Incremental, Character-level Pragmatic ReasoningInternational Natural Language Generation Conference (INLG)Sina Zarrieß, Hendrik Buschmeier, Ting Han, et al.2021 · 7 citations
83. Evaluating pragmatic abilities of image captioners on A3DSAnnual Meeting of the Association for Computational Linguistics (ACL)Polina Tsvilodub, Michael Franke2023 · 6 citations
84. Image Classification for Arabic: Assessing the Accuracy of Direct English to Arabic TranslationsIEEE AccessAbdulkareem Alsudais2018 · 6 citations
85. Calibrate your listeners! Robust communication-based training for pragmatic speakersFindings of the Association for Computational LinguisticsRose Wang, Julia White, Jesse Mu, et al.2021 · 5 citations
86. DeepSeek-V4.1-Flash: Pushing the Limits of KV Cache CompressionarXiv:2609.19969DeepSeek-AI, Anyi Xu, B. Li, et al.2026 · 3 citations
87. Decoupling Pragmatics: Discriminative Decoding for Referring Expression GenerationProceedings of the Reasoning and Interaction Conference (ReInAct 2021)Simeon Schüz, Sina Zarrieß2021 · 3 citations
88. Zero-Shot Multimodal Retrieval with Multi-Scale Contextual RepresentationsAnnual Meeting of the Association for Computational Linguistics (ACL)Sourajit Saha, Tejas Gokhale2026 · 1 citation
89. Building Common Ground in Dialogue: A SurveyLUHME WorkshopTatiana Anikina, Alina Leippert, Simon Ostermann2025 · 1 citation
90. Color Overmodification Emerges from Data-Driven Learning and Pragmatic ReasoningarXiv:2205.09172Fei Fang, Kunal Sinha, Noah D. Goodman, et al.2022 · 1 citation
91. AnchorSeg: Language Grounded Query Banks for Reasoning SegmentationAnnual Meeting of the Association for Computational Linguistics (ACL)Rui Qian, Chuanhang Deng, Qiang Huang, et al.2026
92. Beyond Query Bias: Candidate-Aware Iterative Refinement for Zero-Shot Composed Image RetrievalFindings of the Association for Computational LinguisticsNan Sun, Jing Tang, Lei Sun, et al.2026
93. EgoMemory: Memory-Augmented Personalized Retrieval for Long-Context Egocentric VideoFindings of the Association for Computational LinguisticsYuanmin Tang, Jue Zhang, Xiaoting Qin, et al.2026
94. From Words to Pixels: A Comprehensive Survey on Large Language Models in Visual SegmentationAnnual Meeting of the Association for Computational Linguistics (ACL)Yizhou Wang, Mang Tik Chiu, Lingzhi Zhang, et al.2026
95. Survey on Vision-language Pre-training (视觉语言预训练综述)Journal of SoftwareJiong Yin (殷炯), Zhedong Zhang (张哲东), Yuhan Gao (高宇涵), et al.2022

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