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Who cites Mohammad Rastegari

692 citations of their works from 686 papers of our library (of the 149,439 whose bibliographies we read) · 108 with a page here, the most cited first · page 1 of 2 · 1–100 · ← Mohammad Rastegari

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  1. MobileNets: Efficient Convolutional Neural Networks for Mobile Vision ApplicationsarXiv:1704.04861Andrew G. Howard, Menglong Zhu, Bo Chen, et al.2017 · 9,729 citations
  2. 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
  3. Flamingo: a Visual Language Model for Few-Shot LearningarXiv:2204.14198Jean-Baptiste Alayrac, Jeff Donahue, Pauline Luc, et al.2022 · 2,246 citations
  4. DoReFa-Net: Training Low Bitwidth Convolutional Neural Networks with Low Bitwidth GradientsarXiv:1606.06160Shuchang Zhou, Yuxin Wu, Zekun Ni, et al.2016 · 1,762 citations
  5. Quantized Neural Networks: Training Neural Networks with Low Precision Weights and ActivationsarXiv:1609.07061Itay Hubara, Matthieu Courbariaux, Daniel Soudry, et al.2016 · 1,610 citations
  6. AMC: AutoML for Model Compression and Acceleration on Mobile DevicesLecture notes in computer scienceYihui He; Ji Lin; Zhijian Liu; Hanrui Wang; Li-Jia Li;, Song Han2018 · 1,444 citations
  7. TVM: An Automated End-to-End Optimizing Compiler for Deep LearningarXiv:1802.04799Tianqi Chen, Thierry Moreau, Ziheng Jiang, et al.2018 · 1,384 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. MMMU: A Massive Multi-discipline Multimodal Understanding and Reasoning Benchmark for Expert AGIIEEE Computer Society Conference on Computer Vision and Pattern RecognitionXiang Yue, Yuansheng Ni, Kai Zhang, et al.2023 · 1,005 citations
  10. 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
  11. 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
  12. MME: A Comprehensive Evaluation Benchmark for Multimodal Large Language ModelsConference on Neural Information Processing Systems (NeurIPS)Chaoyou Fu, Peixian Chen, Yunhang Shen, et al.2023 · 554 citations
  13. 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
  14. 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
  15. LLaVA-OneVision: Easy Visual Task TransferarXiv:2408.03326Bo Li, Yuanhan Zhang, Dong Guo, et al.2024 · 477 citations
  16. 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
  17. ShareGPT4V: Improving Large Multi-Modal Models with Better CaptionsLecture notes in computer scienceLin Chen, Jinsong Li, Xiaoyi Dong, et al.2023 · 454 citations
  18. 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
  19. AI2-THOR: An Interactive 3D Environment for Visual AIarXiv:1712.05474Eric Kolve, Roozbeh Mottaghi, Winson Han, et al.2017 · 421 citations
  20. Green AIarXiv:1907.10597Roy Schwartz, Jesse Dodge, Noah A. Smith, et al.2019 · 389 citations
  21. CogVLM: Visual Expert for Pretrained Language ModelsConference on Neural Information Processing Systems (NeurIPS)Weihan Wang, Qingsong Lv, Wenmeng Yu, et al.2023 · 383 citations
  22. ViperGPT: Visual Inference via Python Execution for ReasoningIEEE/CVF International Conference on Computer Vision (ICCV)Didac Suris, Sachit Menon, Carl Vondrick2023 · 383 citations
  23. A Survey on Model Compression for Large Language ModelsTransactions of the Association for Computational Linguistics (TACL)Xunyu Zhu, Jian Li, Yong Liu, et al.2024 · 381 citations
  24. 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
  25. CogAgent: A Visual Language Model for GUI AgentsIEEE Computer Society Conference on Computer Vision and Pattern RecognitionWenyi Hong, Weihan Wang, Qingsong Lv, et al.2023 · 367 citations
  26. Visual Programming: Compositional visual reasoning without trainingIEEE Computer Society Conference on Computer Vision and Pattern RecognitionTanmay Gupta, Aniruddha Kembhavi2022 · 347 citations
  27. MM-Vet: Evaluating Large Multimodal Models for Integrated CapabilitiesarXiv:2308.02490Weihao Yu, Zhengyuan Yang, Linjie Li, et al.2023 · 344 citations
  28. 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
  29. Demystifying Parallel and Distributed Deep Learning: An In-Depth Concurrency AnalysisACM Computing Surveys 2019Tal Ben-Nun, Torsten Hoefler2018 · 275 citations
  30. MiniCPM-V: A GPT-4V Level MLLM on Your PhonearXiv:2408.01800Yuan Yao, Tianyu Yu, Ao Zhang, et al.2024 · 269 citations
  31. Multimodal Few-Shot Learning with Frozen Language ModelsarXiv:2106.13884Maria Tsimpoukelli, Jacob Menick, Serkan Cabi, et al.2021 · 258 citations
  32. InternVideo2: Scaling Foundation Models for Multimodal Video UnderstandingLecture notes in computer scienceYi Wang, Kunchang Li, Xinhao Li, et al.2024 · 253 citations
  33. Monkey: Image Resolution and Text Label Are Important Things for Large Multi-modal ModelsIEEE Computer Society Conference on Computer Vision and Pattern RecognitionZhang Li, Biao Yang, Qiang Liu, et al.2023 · 222 citations
  34. DynamoLLM: Designing LLM Inference Clusters for Performance and Energy EfficiencyProceedings - International Symposium on High-Performance Computer Architecture/ProceedingsJovan Stojkovic, Chaojie Zhang, Inigo Goiri, et al.2024 · 218 citations
  35. 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
  36. Molmo and PixMo: Open Weights and Open Data for State-of-the-Art Vision-Language ModelsIEEE Computer Society Conference on Computer Vision and Pattern RecognitionMatt Deitke, Christopher Clark, Sangho Lee, et al.2024 · 216 citations
  37. TernaryBERT: Distillation-aware Ultra-low Bit BERTConference on Empirical Methods in Natural Language Processing (EMNLP)Wei Zhang, Lu Hou, Yichun Yin, et al.2020 · 213 citations
  38. 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
  39. Shikra: Unleashing Multimodal LLM's Referential Dialogue MagicarXiv:2306.15195Keqin Chen, Zhao Zhang, Weili Zeng, et al.2023 · 210 citations
  40. 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
  41. NExT-GPT: Any-to-Any Multimodal LLMarXiv:2309.05519Shengqiong Wu, Hao Fei, Leigang Qu, et al.2023 · 207 citations
  42. 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
  43. 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
  44. OBELICS: An Open Web-Scale Filtered Dataset of Interleaved Image-Text DocumentsConference on Neural Information Processing Systems (NeurIPS)Hugo Laurençon, Lucile Saulnier, Leo Tronchon, et al.2023 · 197 citations
  45. 8-bit Optimizers via Block-wise QuantizationarXiv:2110.02861Tim Dettmers, Mike Lewis, Sam Shleifer, et al.2021 · 181 citations
  46. Aligning Large Multimodal Models with Factually Augmented RLHFarXiv:2309.14525Zhiqing Sun, Sheng Shen, Shengcao Cao, et al.2023 · 176 citations
  47. BinaryBERT: Pushing the Limit of BERT QuantizationAnnual Meeting of the Association for Computational Linguistics (ACL)Haoli Bai, Wei Zhang, Lu Hou, et al.2021 · 166 citations
  48. MM-SafetyBench: A Benchmark for Safety Evaluation of Multimodal Large Language ModelsLecture notes in computer scienceXin Liu, Yichen Zhu, Jindong Gu, et al.2023 · 152 citations
  49. Efficient Processing of Deep Neural Networks: A Tutorial and SurveyProceedings of the IEEE 2017Vivienne Sze, Yu-Hsin Chen, Tien-Ju Yang, et al.2017 · 146 citations
  50. PaliGemma: A versatile 3B VLM for transferarXiv:2407.07726Lucas Beyer, Andreas Steiner, Andre Susano Pinto, et al.2024 · 142 citations
  51. Hard Prompts Made Easy: Gradient-Based Discrete Optimization for Prompt Tuning and DiscoveryConference on Neural Information Processing Systems (NeurIPS)Yuxin Wen, Neel Jain, John Kirchenbauer, et al.2023 · 141 citations
  52. MMMU-Pro: A More Robust Multi-discipline Multimodal Understanding BenchmarkarXiv:2409.02813Xiang Yue, Tianyu Zheng, Yuansheng Ni, et al.2024 · 123 citations
  53. The case for 4-bit precision: k-bit Inference Scaling LawsarXiv:2212.09720Tim Dettmers, Luke Zettlemoyer2022 · 123 citations
  54. I-BERT: Integer-only BERT QuantizationInternational Conference on Machine Learning (ICML)Sehoon Kim, Amir Gholami, Zhewei Yao, et al.2021 · 122 citations
  55. CharXiv: Charting Gaps in Realistic Chart Understanding in Multimodal LLMsConference on Neural Information Processing Systems (NeurIPS)Zirui Wang, Mengzhou Xia, Luxi He, et al.2024 · 119 citations
  56. 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
  57. Can Pre-trained Vision and Language Models Answer Visual Information-Seeking Questions?Conference on Empirical Methods in Natural Language Processing (EMNLP)Yang Chen, Hexiang Hu, Yi Luan, et al.2023 · 111 citations
  58. Towards Efficient Generative Large Language Model Serving: A Survey from Algorithms to SystemsACM Computing SurveysXupeng Miao, Gabriele Oliaro, Zhihao Zhang, et al.2023 · 110 citations
  59. Cost-Efficient Large Language Model Serving for Multi-turn Conversations with CachedAttentionUSENIX ATC 2024Bin Gao, Zhuomin He, Puru Sharma, et al.2024 · 105 citations
  60. LUT-GEMM: Quantized Matrix Multiplication based on LUTs for Efficient Inference in Large-Scale Generative Language ModelsInternational Conference on Learning Representations (ICLR)Gunho Park, Baeseong Park, Minsub Kim, et al.2022 · 103 citations
  61. Personal LLM Agents: Insights and Survey about the Capability, Efficiency and SecurityarXiv:2401.05459Yuanchun Li, Hao Wen, Weijun Wang, et al.2024 · 100 citations
  62. 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
  63. LLM Inference Unveiled: Survey and Roofline Model InsightsarXiv 2024Zhihang Yuan, Yuzhang Shang, Yang Zhou, et al.2024 · 91 citations
  64. CVQA: Culturally-diverse Multilingual Visual Question Answering BenchmarkConference on Neural Information Processing Systems (NeurIPS)David Romero, Chenyang Lyu, Haryo Akbarianto Wibowo, et al.2024 · 90 citations
  65. Not All Experts are Equal: Efficient Expert Pruning and Skipping for Mixture-of-Experts Large Language ModelsAnnual Meeting of the Association for Computational Linguistics (ACL)Xudong Lu, Qi Liu, Yuhui Xu, et al.2024 · 88 citations
  66. Small Language Models: Survey, Measurements, and InsightsarXiv:2409.15790Zhenyan Lu, Xiang Li, Dongqi Cai, et al.2024 · 88 citations
  67. 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
  68. 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
  69. 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
  70. 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
  71. MMICL: Empowering Vision-language Model with Multi-Modal In-Context LearningarXiv:2309.07915Haozhe Zhao, Zefan Cai, Shuzheng Si, et al.2023 · 58 citations
  72. InternLM-XComposer2-4KHD: A Pioneering Large Vision-Language Model Handling Resolutions from 336 Pixels to 4K HDConference on Neural Information Processing Systems (NeurIPS)Xiaoyi Dong, Pan Zhang, Yuhang Zang, et al.2024 · 54 citations
  73. CogVLM2: Visual Language Models for Image and Video UnderstandingarXiv:2408.16500Wenyi Hong, Weihan Wang, Ming Ding, et al.2024 · 52 citations
  74. WebLINX: Real-World Website Navigation with Multi-Turn DialoguearXiv:2402.05930Xing Han Lu, Zden\vek Kasner, Siva Reddy2024 · 50 citations
  75. NVLM: Open Frontier-Class Multimodal LLMsarXiv:2409.11402Wenliang Dai, Nayeon Lee, Boxin Wang, et al.2024 · 44 citations
  76. Large Multilingual Models Pivot Zero-Shot Multimodal Learning across LanguagesarXiv:2308.12038Jinyi Hu, Yuan Yao, Chongyi Wang, et al.2023 · 43 citations
  77. InternLM-XComposer-2.5: A Versatile Large Vision Language Model Supporting Long-Contextual Input and OutputarXiv:2407.03320Pan Zhang, Xiaoyi Dong, Yuhang Zang, et al.2024 · 39 citations
  78. Nemotron-H: A Family of Accurate and Efficient Hybrid Mamba-Transformer ModelsarXiv:2504.03624NVIDIA: Aaron Blakeman, Aarti Basant, Abhinav Khattar, et al.2025 · 38 citations
  79. Peacock: A Family of Arabic Multimodal Large Language Models and BenchmarksAnnual Meeting of the Association for Computational Linguistics (ACL)Fakhraddin Alwajih, El Moatez Billah Nagoudi, Gagan Bhatia, et al.2024 · 28 citations
  80. MegaPairs: Massive Data Synthesis for Universal Multimodal RetrievalAnnual Meeting of the Association for Computational Linguistics (ACL)Junjie Zhou, Yongping Xiong, Zheng Liu, et al.2025 · 26 citations
  81. TACO: Enhancing Multimodal In-context Learning via Task Mapping-Guided Sequence ConfigurationConference on Empirical Methods in Natural Language Processing (EMNLP)Yanshu Li, Jianjiang Yang, Tian Yun, et al.2025 · 22 citations
  82. Baichuan-Omni Technical ReportarXiv:2410.08565Yadong Li, Haoze Sun, Mingan Lin, et al.2024 · 18 citations
  83. MMSearch-R1: Incentivizing LMMs to SearchAnnual Meeting of the Association for Computational Linguistics (ACL)Jinming Wu, Zihao Deng, Wei Li, et al.2026 · 16 citations
  84. Analyzing and Adapting Large Language Models for Few-Shot Multilingual NLU: Are We There Yet?Transactions of the Association for Computational Linguistics (TACL)Evgeniia Razumovskaia, Ivan Vulić, Anna Korhonen2025 · 15 citations
  85. Teaching Vision-Language Models to Ask: Resolving Ambiguity in Visual QuestionsAnnual Meeting of the Association for Computational Linguistics (ACL)Pu Jian, Donglei Yu, Wen Yang, et al.2025 · 13 citations
  86. What Makes for Good Visual Instructions? Synthesizing Complex Visual Reasoning Instructions for Visual Instruction TuningInternational Conference on Computational Linguistics (COLING)Yifan Du, Hangyu Guo, Kun Zhou, et al.2025 · 13 citations
  87. GAOKAO-MM: A Chinese Human-Level Benchmark for Multimodal Models EvaluationarXiv:2402.15745Yi Zong, Xipeng Qiu2024 · 11 citations
  88. Beyond Math: Stories as a Testbed for Memorization-Constrained Reasoning in LLMsConference of the European Chapter of the Association for Computational Linguistics (EACL)Yuxuan Jiang, Francis Ferraro2026 · 10 citations
  89. 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
  90. FBI-LLM: Scaling Up Fully Binarized LLMs from Scratch via Autoregressive DistillationarXiv:2407.07093Liqun Ma, Mingjie Sun, Zhiqiang Shen2024 · 7 citations
  91. TrimTokenator: Towards Adaptive Visual Token Pruning for Large Multimodal ModelsFindings of the Association for Computational LinguisticsHao Zhang, Lyu Mengsi, Chenrui He, et al.2026 · 6 citations
  92. OASIS: A Multilingual and Multimodal Dataset for Culturally Grounded Spoken Visual QAarXiv:2510.06371Firoj Alam, Ali Ezzat Shahroor, Md. Arid Hasan, et al.2025 · 6 citations
  93. V-MAGE: A Game Evaluation Framework for Assessing Vision-Centric Capabilities in Multimodal Large Language ModelsFindings of the Association for Computational LinguisticsXiangxi Zheng, Linjie Li, Zhengyuan Yang, et al.2026 · 2 citations
  94. Benchmarking Vision Language Models on German Factual DataarXiv:2504.11108Rene Peinl, Vincent Tischler2025 · 2 citations
  95. Ground Then Rank: Revisiting Knowledge-Based VQA with Training-Free Entity IdentificationFindings of the Association for Computational LinguisticsQian Ma, Qiong Wu, Zhengyi Zhou, et al.2026 · 1 citation
  96. Multi-modal, Multi-task, Multi-criteria Automatic Evaluation with Vision Language ModelsLanguage Resources and Evaluation Conference (LREC)Masanari Oi, Masahiro Kaneko, Naoaki Okazaki, et al.2026 · 1 citation
  97. WikiSeeker: Rethinking the Role of Vision-Language Models in Knowledge-Based Visual Question AnsweringFindings of the Association for Computational LinguisticsYingjian Zhu, Xinming Wang, Kun Ding, et al.2026 · 1 citation
  98. GAOKAO-Eval: Does high scores truly reflect strong capabilities in LLMs?arXiv:2412.10056Zhikai Lei, Tianyi Liang, Hanglei Hu, et al.2024 · 1 citation
  99. Benchmarking Deflection and Hallucination in Large Vision-Language ModelsAnnual Meeting of the Association for Computational Linguistics (ACL)Nicholas Moratelli, Christopher Davis, Leonardo F. R. Ribeiro, et al.2026
  100. Chart-MRAG: Benchmarking Multimodal Retrieval Augmented Generation on Chart-based DocumentsAnnual Meeting of the Association for Computational Linguistics (ACL)Ymyang, Jiang Zhong, Li Jin, et al.2026

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