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Who cites Bharath Hariharan

1,200 citations of their works from 1,077 papers of our library (of the 149,439 whose bibliographies we read) · 106 with a page here, the most cited first · page 1 of 2 · 1–100 · ← Bharath Hariharan

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  1. Swin Transformer: Hierarchical Vision Transformer using Shifted WindowsIEEE/CVF International Conference on Computer Vision (ICCV)Ze Liu, Yutong Lin, Yue Cao, et al.2021 · 33,968 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. YOLOv4: Optimal Speed and Accuracy of Object DetectionarXiv:2004.10934Alexey Bochkovskiy, Chien-Yao Wang, Hong-Yuan Mark Liao2020 · 10,403 citations
  4. Learning Transferable Visual Models From Natural Language SupervisionarXiv:2103.00020Alec Radford, Jong Wook Kim, Chris Hallacy, et al.2021 · 8,767 citations
  5. 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
  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. ViLBERT: Pretraining Task-Agnostic Visiolinguistic Representations for Vision-and-Language TasksarXiv:1908.02265Jiasen Lu, Dhruv Batra, Devi Parikh, et al.2019 · 2,302 citations
  9. GQA: A New Dataset for Real-World Visual Reasoning and Compositional Question AnsweringIEEE Computer Society Conference on Computer Vision and Pattern RecognitionDrew A. Hudson, Christopher D. Manning2019 · 2,078 citations
  10. Focal Loss for Dense Object DetectionarXiv:1708.02002Tsung-Yi Lin, Priya Goyal, Ross Girshick, et al.2017 · 1,995 citations
  11. Beyond the Imitation Game: Quantifying and extrapolating the capabilities of language modelsarXiv:2206.04615 · Transactions on Machine Learning Research, May/2022, https://openreview.net/forum?id=uyTL5BvosjAarohi Srivastava, Abhinav Rastogi, Abhishek Rao, et al.2022 · 1,756 citations
  12. From Captions to Visual Concepts and BackIEEE Computer Society Conference on Computer Vision and Pattern RecognitionHao Fang, Saurabh Gupta, Forrest Iandola, et al.2014 · 1,450 citations
  13. VL-BERT: Pre-training of Generic Visual-Linguistic RepresentationsarXiv:1908.08530Weijie Su, Xizhou Zhu, Yue Cao, et al.2019 · 1,066 citations
  14. Vision-Language Models for Vision Tasks: A SurveyIEEE Transactions on Pattern Analysis and Machine IntelligenceJingyi Zhang, Jiaxing Huang, Sheng Jin, et al.2023 · 1,047 citations
  15. U-Net: Convolutional Networks for Biomedical Image SegmentationarXiv:1505.04597Olaf Ronneberger, Philipp Fischer, Thomas Brox2015 · 997 citations
  16. Interpretable Machine Learning: Fundamental Principles and 10 Grand ChallengesarXiv:2103.11251 · Statistics Surveys, 2021Cynthia Rudin; Chaofan Chen; Zhi Chen; Haiyang Huang; Lesia Semenova;, Chudi Zhong2021 · 974 citations
  17. MMBench: Is Your Multi-modal Model an All-around Player?Lecture notes in computer scienceYuan Liu, Haodong Duan, Yuanhan Zhang, et al.2023 · 942 citations
  18. A Survey of Data Augmentation Approaches for NLParXiv:2105.03075Steven Y. Feng, Varun Gangal, Jason Wei, et al.2021 · 940 citations
  19. DocVQA: A Dataset for VQA on Document ImagesarXiv:2007.00398Minesh Mathew, Dimosthenis Karatzas, C.V. Jawahar2020 · 844 citations
  20. LayoutLMv3: Pre-training for Document AI with Unified Text and Image MaskingACM International Conference on Multimedia (ACM MM)Yupan Huang, Tengchao Lv, Lei Cui, et al.2022 · 778 citations
  21. Feature Pyramid Networks for Object DetectionarXiv:1612.03144Tsung-Yi Lin, Piotr Dollar, Ross Girshick, et al.2016 · 767 citations
  22. TVQA: Localized, Compositional Video Question AnsweringConference on Empirical Methods in Natural Language Processing (EMNLP)Jie Lei, Licheng Yu, Mohit Bansal, et al.2018 · 687 citations
  23. A Corpus for Reasoning About Natural Language Grounded in Photographs (NLVR2)Alane Suhr, Stephanie Zhou, Ally Zhang, et al.2019 · 670 citations
  24. A simple neural network module for relational reasoningarXiv:1706.01427Adam Santoro, David Raposo, David G. T. Barrett, et al.2017 · 632 citations
  25. Masked Autoencoders Are Scalable Vision LearnersarXiv:2111.06377Kaiming He, Xinlei Chen, Saining Xie, et al.2021 · 596 citations
  26. Inferring and Executing Programs for Visual ReasoningIEEE International Conference on Computer Vision (ICCV)Justin Johnson, Bharath Hariharan, Laurens van der Maaten, et al.2017 · 557 citations
  27. Training data-efficient image transformers & distillation through attentionarXiv:2012.12877Hugo Touvron, Matthieu Cord, Matthijs Douze, et al.2020 · 524 citations
  28. A-OKVQA: A Benchmark for Visual Question Answering using World KnowledgeLecture notes in computer scienceDustin Schwenk, Apoorv Khandelwal, Christopher Clark, et al.2022 · 509 citations
  29. LLaVA-OneVision: Easy Visual Task TransferarXiv:2408.03326Bo Li, Yuanhan Zhang, Dong Guo, et al.2024 · 477 citations
  30. 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
  31. The Hateful Memes Challenge: Detecting Hate Speech in Multimodal MemesarXiv:2005.04790Douwe Kiela, Hamed Firooz, Aravind Mohan, et al.2020 · 420 citations
  32. Neural-Symbolic VQA: Disentangling Reasoning from Vision and Language UnderstandingarXiv:1810.02338Kexin Yi, Jiajun Wu, Chuang Gan, et al.2018 · 407 citations
  33. ActivityNet-QA: A Dataset for Understanding Complex Web Videos via Question AnsweringProceedings of the AAAI Conference on Artificial IntelligenceZhou Yu, Dejing Xu, Jun Yu, et al.2019 · 403 citations
  34. FiLM: Visual Reasoning with a General Conditioning LayerarXiv:1709.07871Ethan Perez, Florian Strub, Harm de Vries, et al.2017 · 400 citations
  35. ViperGPT: Visual Inference via Python Execution for ReasoningIEEE/CVF International Conference on Computer Vision (ICCV)Didac Suris, Sachit Menon, Carl Vondrick2023 · 383 citations
  36. Visual Programming: Compositional visual reasoning without trainingIEEE Computer Society Conference on Computer Vision and Pattern RecognitionTanmay Gupta, Aniruddha Kembhavi2022 · 347 citations
  37. Discovering Language Model Behaviors with Model-Written EvaluationsarXiv:2212.09251Ethan Perez, Sam Ringer, Kamilė Lukošiūtė, et al.2022 · 328 citations
  38. Chameleon: Plug-and-Play Compositional Reasoning with Large Language ModelsConference on Neural Information Processing Systems (NeurIPS)Pan Lu, Baolin Peng, Hao Cheng, et al.2023 · 327 citations
  39. ALFWorld: Aligning Text and Embodied Environments for Interactive LearningarXiv:2010.03768Mohit Shridhar, Xingdi Yuan, Marc-Alexandre Côté, et al.2020 · 322 citations
  40. The Dawn of LMMs: Preliminary Explorations with GPT-4V(ision)arXiv:2309.17421Zhengyuan Yang, Linjie Li, Kevin Lin, et al.2023 · 311 citations
  41. CodeRL: Mastering Code Generation through Pretrained Models and Deep Reinforcement LearningConference on Neural Information Processing Systems (NeurIPS)Hung Le, Yue Wang, Akhilesh Deepak Gotmare, et al.2022 · 297 citations
  42. MiniCPM-V: A GPT-4V Level MLLM on Your PhonearXiv:2408.01800Yuan Yao, Tianyu Yu, Ao Zhang, et al.2024 · 269 citations
  43. Mapping Instructions and Visual Observations to Actions with Reinforcement LearningConference on Empirical Methods in Natural Language Processing (EMNLP)Dipendra Misra, John Langford, Yoav Artzi2017 · 255 citations
  44. The Neuro-Symbolic Concept Learner: Interpreting Scenes, Words, and Sentences From Natural SupervisionarXiv:1904.12584Jiayuan Mao, Chuang Gan, Pushmeet Kohli, et al.2019 · 241 citations
  45. FigureQA: An Annotated Figure Dataset for Visual ReasoningarXiv:1710.07300Samira Ebrahimi Kahou, Vincent Michalski, Adam Atkinson, et al.2017 · 240 citations
  46. A Survey of Reinforcement Learning Informed by Natural LanguageInternational Joint Conference on Artificial IntelligenceJelena Luketina, Nantas Nardelli, Gregory Farquhar, et al.2019 · 231 citations
  47. DataComp: In search of the next generation of multimodal datasetsConference on Neural Information Processing Systems (NeurIPS)Samir Yitzhak Gadre, Gabriel Ilharco, Alex Fang, et al.2023 · 224 citations
  48. Break It Down: A Question Understanding BenchmarkTransactions of the Association for Computational Linguistics (TACL)Tomer Wolfson, Mor Geva, Ankit Gupta, et al.2020 · 222 citations
  49. Unsupervised Question Decomposition for Question AnsweringConference on Empirical Methods in Natural Language Processing (EMNLP)Ethan Perez, Patrick Lewis, Wen-tau Yih, et al.2020 · 222 citations
  50. Compositional Attention Networks for Machine ReasoningarXiv:1803.03067Drew A. Hudson, Christopher D. Manning2018 · 213 citations
  51. What matters when building vision-language models?Conference on Neural Information Processing Systems (NeurIPS)Hugo Laurençon, Leo Tronchon, Matthieu Cord, et al.2024 · 212 citations
  52. Shikra: Unleashing Multimodal LLM's Referential Dialogue MagicarXiv:2306.15195Keqin Chen, Zhao Zhang, Weili Zeng, et al.2023 · 210 citations
  53. 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
  54. Deja Vu: Contextual Sparsity for Efficient LLMs at Inference TimeInternational Conference on Machine Learning (ICML)Zichang Liu, Jue Wang, Tri Dao, et al.2023 · 185 citations
  55. GeoQA: A Geometric Question Answering Benchmark Towards Multimodal Numerical ReasoningFindings of the Association for Computational LinguisticsJiaqi Chen, Jianheng Tang, Jinghui Qin, et al.2021 · 184 citations
  56. Rethinking Cooperative Rationalization: Introspective Extraction and Complement ControlConference on Empirical Methods in Natural Language Processing (EMNLP)Mo Yu, Shiyu Chang, Yang Zhang, et al.2019 · 179 citations
  57. Compositionality decomposed: how do neural networks generalise?arXiv:1908.08351Dieuwke Hupkes, Verna Dankers, Mathijs Mul, et al.2019 · 162 citations
  58. Draft & Verify: Lossless Large Language Model Acceleration via Self-Speculative DecodingAnnual Meeting of the Association for Computational Linguistics (ACL)Jun Zhang, Jue Wang, Huan Li, et al.2024 · 148 citations
  59. LLaVA-CoT: Let Vision Language Models Reason Step-by-StepIEEE/CVF International Conference on Computer Vision (ICCV)Guowei Xu, Peng Jin, Ziang Wu, et al.2024 · 138 citations
  60. Recent Advances in Natural Language Inference: A Survey of Benchmarks, Resources, and ApproachesarXiv:1904.01172Shane Storks, Qiaozi Gao, Joyce Y. Chai2019 · 135 citations
  61. Scaling Vision with Sparse Mixture of ExpertsarXiv:2106.05974Carlos Riquelme, Joan Puigcerver, Basil Mustafa, et al.2021 · 128 citations
  62. FOIL it! Find One mismatch between Image and Language captionAnnual Meeting of the Association for Computational Linguistics (ACL)Ravi Shekhar, Sandro Pezzelle, Yauhen Klimovich, et al.2017 · 127 citations
  63. H2O: Heavy-Hitter Oracle for Efficient Generative Inference of Large Language ModelsarXiv:2306.14048Zhenyu Zhang, Ying Sheng, Tianyi Zhou, et al.2023 · 124 citations
  64. UniGeo: Unifying Geometry Logical Reasoning via Reformulating Mathematical ExpressionConference on Empirical Methods in Natural Language Processing (EMNLP)Jiaqi Chen, Tong Li, Jinghui Qin, et al.2022 · 111 citations
  65. Look at the First Sentence: Position Bias in Question AnsweringConference on Empirical Methods in Natural Language Processing (EMNLP)Miyoung Ko, Jinhyuk Lee, Hyunjae Kim, et al.2020 · 104 citations
  66. IconQA: A New Benchmark for Abstract Diagram Understanding and Visual Language ReasoningarXiv:2110.13214Pan Lu, Liang Qiu, Jiaqi Chen, et al.2021 · 103 citations
  67. SPARTQA: A Textual Question Answering Benchmark for Spatial ReasoningRoshanak Mirzaee, Hossein Rajaby Faghihi, Qiang Ning, et al.2021 · 95 citations
  68. Vision-R1: Incentivizing Reasoning Capability in Multimodal Large Language ModelsarXiv:2503.06749Wenxuan Huang, Bohan Jia, Zijie Zhai, et al.2025 · 92 citations
  69. Systematic Generalization: What Is Required and Can It Be Learned?arXiv:1811.12889Dzmitry Bahdanau, Shikhar Murty, Michael Noukhovitch, et al.2018 · 73 citations
  70. ERNIE 3.0 Titan: Exploring Larger-scale Knowledge Enhanced Pre-training for Language Understanding and GenerationarXiv:2112.12731Shuohuan Wang, Yu Sun, Yang Xiang, et al.2021 · 63 citations
  71. Small Models Struggle to Learn from Strong ReasonersFindings of the Association for Computational LinguisticsYuetai Li, Xiang Yue, Zhangchen Xu, et al.2025 · 61 citations
  72. From LLM to NMT: Advancing Low-Resource Machine Translation with ClaudearXiv:2404.13813Maxim Enis, Mark Hopkins2024 · 46 citations
  73. 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
  74. 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
  75. 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
  76. Distillation Scaling LawsarXiv:2502.08606Dan Busbridge, Amitis Shidani, Floris Weers, et al.2025 · 26 citations
  77. COLLIE: Systematic Construction of Constrained Text Generation TasksarXiv:2307.08689Shunyu Yao, Howard Chen, Austin W. Hanjie, et al.2023 · 23 citations
  78. Connective Prediction for Implicit Discourse Relation Recognition via Knowledge DistillationAnnual Meeting of the Association for Computational Linguistics (ACL)Hongyi Wu, Hao Zhou, Man Lan, et al.2023 · 19 citations
  79. ChemAgent: Self-updating Library in Large Language Models Improves Chemical ReasoningarXiv:2501.06590Xiangru Tang, Tianyu Hu, Muyang Ye, et al.2025 · 15 citations
  80. DevBench: A multimodal developmental benchmark for language learningConference on Neural Information Processing Systems (NeurIPS)Alvin Wei Ming Tan, Sunny Yu, Bria Long, et al.2024 · 13 citations
  81. Can Multimodal Large Language Models Understand Spatial Relations?Annual Meeting of the Association for Computational Linguistics (ACL)Jingping Liu, Ziyan Liu, Zhedong Cen, et al.2025 · 11 citations
  82. Learning from Diverse Reasoning Paths with Routing and CollaborationConference on Empirical Methods in Natural Language Processing (EMNLP)Zhenyu Lei, Zhen Tan, Song Wang, et al.2025 · 11 citations
  83. Scaffolding Coordinates to Promote Vision-Language Coordination in Large Multi-Modal ModelsInternational Conference on Computational Linguistics (COLING)Xuanyu Lei, Zonghan Yang, Xinrui Chen, et al.2025 · 11 citations
  84. Knowledge Distillation of Black-Box Large Language ModelsarXiv:2401.07013Hongzhan Chen, Ruijun Chen, Yuqi Yi, et al.2024 · 10 citations
  85. 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
  86. 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
  87. VisualWebInstruct: Scaling up Multimodal Instruction Data through Web SearchConference on Empirical Methods in Natural Language Processing (EMNLP)Yiming Jia, Jiachen Li, Xiang Yue, et al.2025 · 9 citations
  88. Insight Over Sight: Exploring the Vision-Knowledge Conflicts in Multimodal LLMsAnnual Meeting of the Association for Computational Linguistics (ACL)Xiaoyuan Liu, Wenxuan Wang, Youliang Yuan, et al.2025 · 6 citations
  89. OFFSIDE: Benchmarking Unlearning Misinformation in Multimodal Large Language ModelsFindings of the Association for Computational LinguisticsHao Zheng, Zirui Pang, Ling Li, et al.2026 · 4 citations
  90. SciFlow-Bench: Evaluating Structure-Aware Scientific Diagram Generation via Inverse ParsingAnnual Meeting of the Association for Computational Linguistics (ACL)Tong Zhang, Honglin Lin, Zhou Liu, et al.2026 · 1 citation
  91. Constructions All the Way Up: From Sensory Experiences to Construction GrammarsInternational Workshop on Construction Grammars and NLPJérôme Botoko Ekila, Lara Verheyen, Katrien Beuls, et al.2025 · 1 citation
  92. Color Overmodification Emerges from Data-Driven Learning and Pragmatic ReasoningarXiv:2205.09172Fei Fang, Kunal Sinha, Noah D. Goodman, et al.2022 · 1 citation
  93. ANCHOR: LLM-driven Subject Conditioning for Text-to-Image SynthesisFindings of the Association for Computational LinguisticsAashish Anantha Ramakrishnan, Sharon X Huang, Dongwon Lee2026
  94. Ask Me Again Differently: GRAS for Measuring Bias in Vision Language Models on Gender, Race, Age, and Skin ToneFindings of the Association for Computational LinguisticsShaivi Malik, Hasnat Md Abdullah, Sriparna Saha, et al.2026
  95. 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
  96. EVGeoQA: Benchmarking LLMs on Dynamic, Multi-Objective Geo-Spatial ExplorationFindings of the Association for Computational LinguisticsJianfei Wu, Zhichun Wang, Zhensheng Wang, et al.2026
  97. GeoQuery-LSFB: A French Belgian Sign Language Corpus with Procedural Semantic AnnotationsLREC Workshop on the Representation and Processing of Sign Languages: Language in MotionLiesbet De Vos, Laurence Meurant, Paul Van Eecke, et al.2026
  98. Investigating Memorization in Language Models Trained via Knowledge DistillationLanguage Resources and Evaluation Conference (LREC)Maarten Mäcking, Michaela Regneri2026
  99. MEUR: A Benchmark for Evaluating Vision-Language Models on Multimodal Event Understanding and ReasoningLanguage Resources and Evaluation Conference (LREC)Zimu Wang, Yuqi Wang, Tong Chen, et al.2026
  100. 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

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