🧑‍🔬 Who cites Tamara Berg

534 citations of their works from 467 papers of our library (of the 140,884 whose bibliographies we read) · 54 with a page here, the most cited first · ← Tamara Berg

1. Show, Attend and Tell: Neural Image Caption Generation with Visual AttentionKelvin Xu, Jimmy Ba, Ryan Kiros, et al.2015 · 7,483 citations
2. Improved Baselines with Visual Instruction TuningHaotian Liu, Chunyuan Li, Yuheng Li, et al.2023 · 2,557 citations
3. UNITER: UNiversal Image-TExt Representation LearningYen-Chun Chen, Linjie Li, Licheng Yu, et al.2019 · 2,344 citations
4. ViLBERT: Pretraining Task-Agnostic Visiolinguistic Representations for Vision-and-Language TasksJiasen Lu, Dhruv Batra, Devi Parikh, et al.2019 · 2,217 citations
5. Microsoft COCO Captions: Data Collection and Evaluation ServerXinlei Chen, Hao Fang, Tsung-Yi Lin, et al.2015 · 1,859 citations
6. VisualBERT: A Simple and Performant Baseline for Vision and LanguageLiunian Harold Li, Mark Yatskar, Da Yin, et al.2019 · 1,510 citations
7. Generation and Comprehension of Unambiguous Object DescriptionsJunhua Mao, Jonathan Huang, Alexander Toshev, et al.2015 · 1,358 citations
8. Unifying Visual-Semantic Embeddings with Multimodal Neural Language ModelsRyan Kiros, Ruslan Salakhutdinov, Richard S. Zemel2014 · 1,315 citations
9. Modeling Context in Referring ExpressionsLicheng Yu, Patrick Poirson, Shan Yang, et al.2016 · 1,165 citations
10. MiniGPT-4: Enhancing Vision-Language Understanding with Advanced Large Language ModelsDeyao Zhu, Jun Chen, Xiaoqian Shen, et al.2023 · 1,105 citations
11. VL-BERT: Pre-training of Generic Visual-Linguistic RepresentationsWeijie Su, Xizhou Zhu, Yue Cao, et al.2019 · 1,008 citations
12. Qwen2.5-VL Technical ReportShuai Bai, Keqin Chen, Xuejing Liu, et al.2025 · 948 citations
13. MMMU: A Massive Multi-discipline Multimodal Understanding and Reasoning Benchmark for Expert AGIXiang Yue, Yuansheng Ni, Kai Zhang, et al.2023 · 948 citations
14. Qwen-VL: A Versatile Vision-Language Model for Understanding, Localization, Text Reading, and BeyondJinze Bai, Shuai Bai, Shusheng Yang, et al.2023 · 913 citations
15. Qwen2-VL: Enhancing Vision-Language Model's Perception of the World at Any ResolutionPeng Wang, Shuai Bai, Sinan Tan, et al.2024 · 819 citations
16. TVQA: Localized, Compositional Video Question AnsweringJie Lei, Licheng Yu, Mohit Bansal, et al.2018 · 669 citations
17. A Corpus for Reasoning About Natural Language Grounded in Photographs (NLVR2)Alane Suhr, Stephanie Zhou, Ally Zhang, et al.2019 · 640 citations
18. Show and Tell: A Neural Image Caption GeneratorOriol Vinyals, Alexander Toshev, Samy Bengio, et al.2014 · 606 citations
19. How Far Are We to GPT-4V? Closing the Gap to Commercial Multimodal Models with Open-Source SuitesZhe Chen, Weiyun Wang, Hao Tian, et al.2024 · 529 citations
20. Deep Visual-Semantic Alignments for Generating Image DescriptionsAndrej Karpathy, Li Fei-Fei2014 · 493 citations
21. OFA: Unifying Architectures, Tasks, and Modalities Through a Simple Sequence-to-Sequence Learning FrameworkPeng Wang, An Yang, Rui Men, et al.2022 · 452 citations
22. MVBench: A Comprehensive Multi-modal Video Understanding BenchmarkKunchang Li, Yali Wang, Yinan He, et al.2023 · 441 citations
23. ShareGPT4V: Improving Large Multi-Modal Models with Better CaptionsLin Chen, Jinsong Li, Xiaoyi Dong, et al.2023 · 441 citations
24. LLaVA-OneVision: Easy Visual Task TransferBo Li, Yuanhan Zhang, Dong Guo, et al.2024 · 440 citations
25. InternVL: Scaling up Vision Foundation Models and Aligning for Generic Visual-Linguistic TasksZhe Chen, Jiannan Wu, Wenhai Wang, et al.2023 · 409 citations
26. Video-MME: The First-Ever Comprehensive Evaluation Benchmark of Multi-modal LLMs in Video AnalysisChaoyou Fu, Yuhan Dai, Yongdong Luo, et al.2024 · 403 citations
27. The Hateful Memes Challenge: Detecting Hate Speech in Multimodal MemesDouwe Kiela, Hamed Firooz, Aravind Mohan, et al.2020 · 403 citations
28. Yi: Open Foundation Models by 01.AIAlex Young, Bei Chen, Chao Li, et al.2024 · 402 citations
29. CLEVR: A Diagnostic Dataset for Compositional Language and Elementary Visual ReasoningJustin Johnson, Bharath Hariharan, Laurens van der Maaten, et al.2016 · 387 citations
30. CogVLM: Visual Expert for Pretrained Language ModelsWeihan Wang, Qingsong Lv, Wenmeng Yu, et al.2023 · 373 citations
31. Toward Abstractive Summarization Using Semantic RepresentationsFei Liu, Jeffrey Flanigan, Sam Thomson, et al.2015 · 337 citations
32. Qwen3-VL Technical ReportShuai Bai, Yuxuan Cai, Ruizhe Chen, et al.2025 · 330 citations
33. Expanding Performance Boundaries of Open-Source Multimodal Models with Model, Data, and Test-Time ScalingZhe Chen, Weiyun Wang, Yue Cao, et al.2024 · 276 citations
34. Kosmos-2: Grounding Multimodal Large Language Models to the WorldZhiliang Peng, Wenhui Wang, Li Dong, et al.2023 · 272 citations
35. MiniCPM-V: A GPT-4V Level MLLM on Your PhoneYuan Yao, Tianyu Yu, Ao Zhang, et al.2024 · 267 citations
36. Qwen2.5-Omni Technical ReportJin Xu, Zhifang Guo, Jinzheng He, et al.2025 · 218 citations
37. InternVL3: Exploring Advanced Training and Test-Time Recipes for Open-Source Multimodal ModelsJinguo Zhu, Weiyun Wang, Zhe Chen, et al.2025 · 195 citations
38. Shikra: Unleashing Multimodal LLM's Referential Dialogue MagicKeqin Chen, Zhao Zhang, Weili Zeng, et al.2023 · 194 citations
39. MiniGPT-v2: large language model as a unified interface for vision-language multi-task learningJun Chen, Deyao Zhu, Xiaoqian Shen, et al.2023 · 192 citations
40. Molmo and PixMo: Open Weights and Open Data for State-of-the-Art Vision-Language ModelsMatt Deitke, Christopher Clark, Sangho Lee, et al.2024 · 184 citations
41. Cambrian-1: A Fully Open, Vision-Centric Exploration of Multimodal LLMsShengbang Tong, Ellis Brown, Penghao Wu, et al.2024 · 173 citations
42. InternVL3.5: Advancing Open-Source Multimodal Models in Versatility, Reasoning, and EfficiencyWeiyun Wang, Zhangwei Gao, Lixin Gu, et al.2025 · 159 citations
43. Long-term Recurrent Convolutional Networks for Visual Recognition and DescriptionJeff Donahue, Lisa Anne Hendricks, Marcus Rohrbach, et al.2014 · 142 citations
44. DeepSeek-VL2: Mixture-of-Experts Vision-Language Models for Advanced Multimodal UnderstandingZhiyu Wu, Xiaokang Chen, Zizheng Pan, et al.2024 · 135 citations
45. GPT-4V(ision) is a Generalist Web Agent, if GroundedBoyuan Zheng, Boyu Gou, Jihyung Kil, et al.2024 · 130 citations
46. Unified Pragmatic Models for Generating and Following InstructionsDaniel Fried, Jacob Andreas, Dan Klein2018 · 111 citations
47. Pragmatics in Language Grounding: Phenomena, Tasks, and Modeling ApproachesDaniel Fried, Nicholas Tomlin, Jennifer Hu, et al.2023 · 36 citations
48. Know What You Don't Know: Modeling a Pragmatic Speaker that Refers to Objects of Unknown CategoriesSina Zarrieß, David Schlangen2019 · 24 citations
49. Maintaining Common Ground in Dynamic EnvironmentsTakuma Udagawa, Akiko Aizawa2021 · 13 citations
50. This One or That One? A Study on Accessibility via Demonstratives with Multimodal Large Language ModelsYu Wang, Emmanuele Chersoni, Chu-Ren Huang2026 · 7 citations
51. Referring Expressions with Rational Speech Act Framework: A Probabilistic ApproachHieu Le, Taufiq Daryanto, Fabian Zhafransyah, et al.2022 · 2 citations
52. Multi-modal, Multi-task, Multi-criteria Automatic Evaluation with Vision Language ModelsMasanari Oi, Masahiro Kaneko, Naoaki Okazaki, et al.2026 · 1 citation
53. Frame2KG: A Benchmark and Evaluation Toolkit for Interpretable Frame-to-Graph GenerationLewis N. Watson, Carl Strathearn, Kenny Mitchell, et al.2026
54. Survey on Vision-language Pre-training (视觉语言预训练综述)Jiong Yin (殷炯), Zhedong Zhang (张哲东), Yuhan Gao (高宇涵), et al.2022

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