🧑‍🔬 Who cites Laura Gustafson

617 citations of their works from 570 papers of our library (of the 149,439 whose bibliographies we read) · 72 with a page here, the most cited first · ← Laura Gustafson

1. On the Opportunities and Risks of Foundation ModelsarXiv:2108.07258Rishi Bommasani, Drew A. Hudson, Ehsan Adeli, et al.2021 · 3,160 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. DINOv2: Learning Robust Visual Features without SupervisionarXiv:2304.07193Maxime Oquab, Timothee Darcet, Theo Moutakanni, et al.2023 · 1,513 citations
4. Qwen2.5-VL Technical ReportarXiv:2502.13923Shuai Bai, Keqin Chen, Xuejing Liu, et al.2025 · 1,031 citations
5. ImageBind: One Embedding Space To Bind Them AllIEEE Computer Society Conference on Computer Vision and Pattern RecognitionRohit Girdhar, Alaaeldin El-Nouby, Zhuang Liu, et al.2023 · 954 citations
6. 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
7. ShareGPT4V: Improving Large Multi-Modal Models with Better CaptionsLecture notes in computer scienceLin Chen, Jinsong Li, Xiaoyi Dong, et al.2023 · 454 citations
8. Experience Grounds LanguageConference on Empirical Methods in Natural Language Processing (EMNLP)Yonatan Bisk, Ari Holtzman, Jesse Thomason, et al.2020 · 439 citations
9. 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
10. The Dawn of LMMs: Preliminary Explorations with GPT-4V(ision)arXiv:2309.17421Zhengyuan Yang, Linjie Li, Kevin Lin, et al.2023 · 311 citations
11. A Review of Large Language Models and Autonomous Agents in ChemistryarXiv:2407.01603Mayk Caldas Ramos, Christopher J. Collison, Andrew D. White2024 · 288 citations
12. 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
13. Discovering Symbolic Models from Deep Learning with Inductive BiasesarXiv:2006.11287Miles Cranmer, Alvaro Sanchez-Gonzalez, Peter Battaglia, et al.2020 · 272 citations
14. SEED-Bench: Benchmarking Multimodal LLMs with Generative ComprehensionarXiv:2307.16125Bohao Li, Rui Wang, Guangzhi Wang, et al.2023 · 265 citations
15. Wan: Open and Advanced Large-Scale Video Generative ModelsarXiv:2503.20314Team Wan, Ang Wang, Baole Ai, et al.2025 · 260 citations
16. TrustLLM: Trustworthiness in Large Language ModelsarXiv:2401.05561Yue Huang, Lichao Sun, Haoran Wang, et al.2024 · 237 citations
17. MathVerse: Does Your Multi-modal LLM Truly See the Diagrams in Visual Math Problems?Lecture notes in computer scienceRenrui Zhang, Dongzhi Jiang, Yichi Zhang, et al.2024 · 232 citations
18. 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
19. 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
20. Shikra: Unleashing Multimodal LLM's Referential Dialogue MagicarXiv:2306.15195Keqin Chen, Zhao Zhang, Weili Zeng, et al.2023 · 210 citations
21. 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
22. DeepSeek-VL: Towards Real-World Vision-Language UnderstandingarXiv:2403.05525Haoyu Lu, Wen Liu, Bo Zhang, et al.2024 · 208 citations
23. Woodpecker: Hallucination Correction for Multimodal Large Language ModelsScience China Information SciencesShukang Yin, Chaoyou Fu, Sirui Zhao, et al.2023 · 206 citations
24. GPT4Tools: Teaching Large Language Model to Use Tools via Self-instructionConference on Neural Information Processing Systems (NeurIPS)Rui Yang, Lin Song, Yanwei Li, et al.2023 · 147 citations
25. PaliGemma: A versatile 3B VLM for transferarXiv:2407.07726Lucas Beyer, Andreas Steiner, Andre Susano Pinto, et al.2024 · 142 citations
26. DeepSeek-VL2: Mixture-of-Experts Vision-Language Models for Advanced Multimodal UnderstandingarXiv:2412.10302Zhiyu Wu, Xiaokang Chen, Zizheng Pan, et al.2024 · 137 citations
27. Set-of-Mark Prompting Unleashes Extraordinary Visual Grounding in GPT-4VarXiv:2310.11441Jianwei Yang, Hao Zhang, Feng Li, et al.2023 · 137 citations
28. Towards Large Reasoning Models: A Survey of Reinforced Reasoning with Large Language ModelsarXiv:2501.09686Fengli Xu, Qianyue Hao, Zefang Zong, et al.2025 · 120 citations
29. Hallucination of Multimodal Large Language Models: A SurveyarXiv:2404.18930Zechen Bai, Pichao Wang, Tianjun Xiao, et al.2024 · 120 citations
30. Janus: Decoupling Visual Encoding for Unified Multimodal Understanding and GenerationIEEE Computer Society Conference on Computer Vision and Pattern RecognitionChengyue Wu, Xiaokang Chen, Zhiyu Wu, et al.2024 · 112 citations
31. AutoSurvey: Large Language Models Can Automatically Write SurveysConference on Neural Information Processing Systems (NeurIPS)Yidong Wang, Qi Guo, Wenjin Yao, et al.2024 · 91 citations
32. PixArt-α: Fast Training of Diffusion Transformer for Photorealistic Text-to-Image SynthesisarXiv:2310.00426Junsong Chen, Jincheng Yu, Chongjian Ge, et al.2023 · 87 citations
33. MMC: Advancing Multimodal Chart Understanding with Large-scale Instruction TuningConference of the North American Chapter of the Association for Computational Linguistics (NAACL)Fuxiao Liu, Xiaoyang Wang, Wenlin Yao, et al.2024 · 86 citations
34. DeepSeek-OCR: Contexts Optical CompressionarXiv:2510.18234Haoran Wei, Yaofeng Sun, Yukun Li2025 · 54 citations
35. A Survey of Resource-efficient LLM and Multimodal Foundation ModelsarXiv:2401.08092Mengwei Xu, Wangsong Yin, Dongqi Cai, et al.2024 · 54 citations
36. JanusFlow: Harmonizing Autoregression and Rectified Flow for Unified Multimodal Understanding and GenerationIEEE Computer Society Conference on Computer Vision and Pattern RecognitionYiyang Ma, Xingchao Liu, Xiaokang Chen, et al.2024 · 52 citations
37. SciGraphQA: A Large-Scale Synthetic Multi-Turn Question-Answering Dataset for Scientific GraphsarXiv:2308.03349Shengzhi Li, Nima Tajbakhsh2023 · 50 citations
38. NVLM: Open Frontier-Class Multimodal LLMsarXiv:2409.11402Wenliang Dai, Nayeon Lee, Boxin Wang, et al.2024 · 44 citations
39. Large Multilingual Models Pivot Zero-Shot Multimodal Learning across LanguagesarXiv:2308.12038Jinyi Hu, Yuan Yao, Chongyi Wang, et al.2023 · 43 citations
40. PROST: Physical Reasoning about Objects through Space and TimeFindings of the Association for Computational LinguisticsStéphane Aroca-Ouellette, Cory Paik, Alessandro Roncone, et al.2021 · 40 citations
41. CoPhy: Counterfactual Learning of Physical DynamicsarXiv:1909.12000Fabien Baradel, Natalia Neverova, Julien Mille, et al.2019 · 40 citations
42. UFO: A UI-Focused Agent for Windows OS InteractionConference of the North American Chapter of the Association for Computational Linguistics (NAACL)Chaoyun Zhang, Liqun Li, Shilin He, et al.2025 · 38 citations
43. NEWTON: Are Large Language Models Capable of Physical Reasoning?Findings of the Association for Computational LinguisticsYi Wang, Jiafei Duan, Dieter Fox, et al.2023 · 27 citations
44. Step1X-Edit: A Practical Framework for General Image EditingarXiv:2504.17761Shiyu Liu, Yucheng Han, Peng Xing, et al.2025 · 23 citations
45. Physion: Evaluating Physical Prediction from Vision in Humans and MachinesarXiv:2106.08261Daniel M. Bear, Elias Wang, Damian Mrowca, et al.2021 · 23 citations
46. UGPhysics: A Comprehensive Benchmark for Undergraduate Physics Reasoning with Large Language ModelsarXiv:2502.00334Xin Xu, Qiyun Xu, Tong Xiao, et al.2025 · 19 citations
47. CRAFT: A Benchmark for Causal Reasoning About Forces and inTeractionsFindings of the Association for Computational LinguisticsTayfun Ates, M. Ateşoğlu, Çağatay Yiğit, et al.2022 · 17 citations
48. Maintaining Common Ground in Dynamic EnvironmentsTransactions of the Association for Computational Linguistics (TACL)Takuma Udagawa, Akiko Aizawa2021 · 13 citations
49. 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
50. Distilling Internet-Scale Vision-Language Models into Embodied AgentsarXiv:2301.12507Theodore Sumers, Kenneth Marino, Arun Ahuja, et al.2023 · 9 citations
51. DeepSeek-OCR 2: Visual Causal FlowarXiv:2601.20552Haoran Wei, Yaofeng Sun, Yukun Li2026 · 8 citations
52. Pixels Versus Priors: Controlling Knowledge Priors in Vision-Language Models through Visual CounterfactsConference on Empirical Methods in Natural Language Processing (EMNLP)Michal Golovanevsky, William Rudman, Michael A. Lepori, et al.2025 · 8 citations
53. CountQA: How Well Do MLLMs Count in the Wild?arXiv:2508.06585Jayant Sravan Tamarapalli, Rynaa Grover, Nilay Pande, et al.2025 · 6 citations
54. ChartAgent: A Multimodal Agent for Visually Grounded Reasoning in Complex Chart Question AnsweringAnnual Meeting of the Association for Computational Linguistics (ACL)Rachneet Kaur, Nishan Srishankar, Zhen Zeng, et al.2026 · 5 citations
55. RRHF-V: Ranking Responses to Mitigate Hallucinations in Multimodal Large Language Models with Human FeedbackInternational Conference on Computational Linguistics (COLING)Guoqing Chen, Fu Zhang, Jinghao Lin, et al.2025 · 5 citations
56. Barriers to Discrete Reasoning with Transformers: A Survey Across Depth, Exactness, and BandwidthConference of the European Chapter of the Association for Computational Linguistics (EACL)Michelle Yuan, Weiyi Sun, Amir H. Rezaeian, et al.2026 · 3 citations
57. MODOS at ArAIEval Shared Task: Multimodal Propagandistic Memes Classification Using Weighted SAM, CLIP and ArabianGPTArabic Natural Language Processing Conference (ArabicNLP)Abdelhamid Haouhat, Hadda Cherroun, Slimane Bellaouar, et al.2024 · 3 citations
58. ReContraster: Making Your Posters Stand Out with Regional ContrastAnnual Meeting of the Association for Computational Linguistics (ACL)Peixuan Zhang, Zijian Jia, Ziqi Cai, et al.2026 · 2 citations
59. Enhancing the Safety of Medical Vision-Language Models by Synthetic DemonstrationsConference of the European Chapter of the Association for Computational Linguistics (EACL)Zhiyu Xue, Reza Abbasi-Asl, Ramtin Pedarsani2026 · 1 citation
60. 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
61. 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
62. Beyond the Panorama: Training-Free Hierarchical Perception-Reasoning for Fine-Grained Vision in MLLMsAnnual Meeting of the Association for Computational Linguistics (ACL)Xiaoyang Yi, Jing Chen, Li Peng, et al.2026
63. CANDICE: Agentic Causal Disentanglement with Class Conditional Knowledge Integration for Long Tailed Domain GeneralizationFindings of the Association for Computational LinguisticsMidhat Urooj, Ayan Banerjee, Sandeep Gupta2026
64. 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
65. How Do Inpainting Artifacts Propagate to Language?Annual Meeting of the Association for Computational Linguistics (ACL)Pratham Yashwante, Davit Abrahamyan, Shresth Grover, et al.2026
66. I2E: From Image Pixels to Actionable Interactive Environments for Text-Guided Image EditingAnnual Meeting of the Association for Computational Linguistics (ACL)Jinghan Yu, Junhao Xiao, Chenyu Zhu, et al.2026
67. MENTOR: Efficient Autoregressive Image Generation with Balanced Multimodal ControlFindings of the Association for Computational LinguisticsHaozhe Zhao, Zefan Cai, Shuzheng Si, et al.2026
68. MSVBench: Towards Human-Level Evaluation of Multi-Shot Video GenerationFindings of the Association for Computational LinguisticsHaoyuan Shi, Yunxin li, Nanhao Deng, et al.2026
69. Multimodal Large Language Models for Multi-Subject In-Context Image GenerationAnnual Meeting of the Association for Computational Linguistics (ACL)Yucheng Zhou, Dubing Chen, Huan Zheng, et al.2026
70. SPARTA: Evaluating Reasoning Segmentation Robustness through Black-Box Adversarial Paraphrasing in Text Autoencoder Latent SpaceConference of the European Chapter of the Association for Computational Linguistics (EACL)Viktoriia Zinkovich, Anton Antonov, Andrei Spiridonov, et al.2026
71. UnAC: Adaptive Visual Prompting with Abstraction and Stepwise Checking for Complex Multimodal ReasoningFindings of the Association for Computational LinguisticsYifan Wang, Yun Fu2026
72. Embodied Intelligence Systems Based on Large Models: A Survey (基于大模型的具身智能系统综述)Acta Automatica Sinica (自动化学报)Wensheng Wang (王文晟), Ning Tan (谭宁), Kai Huang (黄凯), et al.2025

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