--- title: "Vision & language — papers, page 2" description: "Vision & language: 221 papers of the Elamur Research library · page 2 of 9, the most cited first." canonical: "https://research.elamur.ai/free/en/topics/multimodal/page/2/" --- [Elamur Research](https://md.research.elamur.ai/free/en/) · [this page in HTML](https://research.elamur.ai/free/en/topics/multimodal/page/2/) [home](https://md.research.elamur.ai/free/en/) / [topics](https://md.research.elamur.ai/free/en/topics/) / [Vision & language](https://md.research.elamur.ai/free/en/topics/multimodal/) / page 2 # 🖼️ Vision & language 221 papers · page 2 of 9 · the most cited first · [all topics](https://md.research.elamur.ai/free/en/topics/) Text with images and video: captions, visual questions and models that see and read. [← prev](https://md.research.elamur.ai/free/en/topics/multimodal/) [1](https://md.research.elamur.ai/free/en/topics/multimodal/) **2** [3](https://md.research.elamur.ai/free/en/topics/multimodal/page/3/) … [9](https://md.research.elamur.ai/free/en/topics/multimodal/page/9/) [next →](https://md.research.elamur.ai/free/en/topics/multimodal/page/3/) - [Unifying Visual-Semantic Embeddings with Multimodal Neural Language Models](https://md.research.elamur.ai/free/en/papers/kiros-2014-unifying-visual-semantic-embeddings-multimodal/) — Ryan Kiros, Ruslan Salakhutdinov, Richard S. Zemel · 2014 · 1 315 citations - [Efficient Low-rank Multimodal Fusion With Modality-Specific Factors](https://md.research.elamur.ai/free/en/papers/liu-2018-efficient-low-rank-multimodal-fusion/) — Zhun Liu, Ying Shen, Varun Bharadhwaj Lakshminarasimhan, et al. · 2018 · 1 174 citations - [Making the V in VQA Matter: Elevating the Role of Image Understanding in Visual Question Answering](https://md.research.elamur.ai/free/en/papers/goyal-2016-making-v-vqa-matter-elevating/) — Yash Goyal, Tejas Khot, Douglas Summers-Stay, et al. · 2016 · 1 169 citations - [MiniGPT-4: Enhancing Vision-Language Understanding with Advanced Large Language Models](https://md.research.elamur.ai/free/en/papers/zhu-2023-minigpt-4-enhancing-vision-language/) — Deyao Zhu, Jun Chen, Xiaoqian Shen, et al. · 2023 · 1 105 citations - [A Survey on Multimodal Large Language Models](https://md.research.elamur.ai/free/en/papers/yin-2023-survey-multimodal-large-language-models/) — Shukang Yin, Chaoyou Fu, Sirui Zhao, et al. · 2023 · 1 060 citations - [InstructBLIP: Towards General-purpose Vision-Language Models with Instruction Tuning](https://md.research.elamur.ai/free/en/papers/dai-2023-instructblip-towards-general-purpose-vision/) — Wenliang Dai, Junnan Li, Dongxu Li, et al. · 2023 · 1 051 citations - [Evaluating Object Hallucination in Large Vision-Language Models](https://md.research.elamur.ai/free/en/papers/li-2023-evaluating-object-hallucination-large-vision/) — Yifan Li, Yifan Du, Kun Zhou, et al. · 2023 · 986 citations - [MMMU: A Massive Multi-discipline Multimodal Understanding and Reasoning Benchmark for Expert AGI](https://md.research.elamur.ai/free/en/papers/yue-2023-mmmu-massive-multi-discipline-multimodal/) — Xiang Yue, Yuansheng Ni, Kai Zhang, et al. · 2023 · 948 citations - [Qwen-VL: A Versatile Vision-Language Model for Understanding, Localization, Text Reading, and Beyond](https://md.research.elamur.ai/free/en/papers/bai-2023-qwen-vl-versatile-vision-language/) — Jinze Bai, Shuai Bai, Shusheng Yang, et al. · 2023 · 913 citations - [MMBench: Is Your Multi-modal Model an All-around Player?](https://md.research.elamur.ai/free/en/papers/liu-2023-mmbench-multi-modal-model-all/) — Yuan Liu, Haodong Duan, Yuanhan Zhang, et al. · 2023 · 907 citations - [A Multitask, Multilingual, Multimodal Evaluation of ChatGPT on Reasoning, Hallucination, and Interactivity](https://md.research.elamur.ai/free/en/papers/bang-2023-multitask-multilingual-multimodal-evaluation-chatgpt/) — Yejin Bang, Samuel Cahyawijaya, Nayeon Lee, et al. · 2023 · 866 citations - [DocVQA: A Dataset for VQA on Document Images](https://md.research.elamur.ai/free/en/papers/mathew-2020-docvqa-dataset-vqa-document-images/) — Minesh Mathew, Dimosthenis Karatzas, C.V. Jawahar · 2020 · 820 citations - [Qwen2-VL: Enhancing Vision-Language Model's Perception of the World at Any Resolution](https://md.research.elamur.ai/free/en/papers/wang-2024-qwen2-vl-enhancing-vision/) — Peng Wang, Shuai Bai, Sinan Tan, et al. · 2024 · 819 citations - [LayoutLMv3: Pre-training for Document AI with Unified Text and Image Masking](https://md.research.elamur.ai/free/en/papers/huang-2022-layoutlmv3-pre-training-document-ai/) — Yupan Huang, Tengchao Lv, Lei Cui, et al. · 2022 · 774 citations - [ViLT: Vision-and-Language Transformer Without Convolution or Region Supervision](https://md.research.elamur.ai/free/en/papers/kim-2021-vilt-vision-language-transformer-convolution/) — Wonjae Kim, Bokyung Son, Ildoo Kim · 2021 · 762 citations - [Integrating Multimodal Information in Large Pretrained Transformers](https://md.research.elamur.ai/free/en/papers/rahman-2020-integrating-multimodal-information-large-pretrained/) — Wasifur Rahman, Md Kamrul Hasan, Sangwu Lee, et al. · 2020 · 742 citations - [TVQA: Localized, Compositional Video Question Answering](https://md.research.elamur.ai/free/en/papers/lei-2018-tvqa-localized-compositional-video-question/) — Jie Lei, Licheng Yu, Mohit Bansal, et al. · 2018 · 669 citations - [CoCa: Contrastive Captioners are Image-Text Foundation Models](https://md.research.elamur.ai/free/en/papers/yu-2022-coca-contrastive-captioners-image-text/) — Jiahui Yu, Zirui Wang, Vijay Vasudevan, et al. · 2022 · 646 citations - [Video-ChatGPT: Towards Detailed Video Understanding via Large Vision and Language Models](https://md.research.elamur.ai/free/en/papers/maaz-2023-video-chatgpt-towards-detailed-video/) — Muhammad Maaz, Hanoona Rasheed, Salman Khan, et al. · 2023 · 634 citations - [LayoutLMv2: Multi-modal Pre-training for Visually-rich Document Understanding](https://md.research.elamur.ai/free/en/papers/xu-2021-layoutlmv2-multi-modal-pre-training/) — Yang Xu, Yiheng Xu, Tengchao Lv, et al. · 2021 · 623 citations - [Object Hallucination in Image Captioning](https://md.research.elamur.ai/free/en/papers/rohrbach-2018-object-hallucination-image-captioning/) — Anna Rohrbach, Lisa Anne Hendricks, Kaylee Burns, et al. · 2018 · 617 citations - [Show and Tell: A Neural Image Caption Generator](https://md.research.elamur.ai/free/en/papers/vinyals-2014-show-tell-neural-image-caption/) — Oriol Vinyals, Alexander Toshev, Samy Bengio, et al. · 2014 · 606 citations - [How Far Are We to GPT-4V? Closing the Gap to Commercial Multimodal Models with Open-Source Suites](https://md.research.elamur.ai/free/en/papers/chen-2024-far-gpt-4v-closing/) — Zhe Chen, Weiyun Wang, Hao Tian, et al. · 2024 · 529 citations - [MME: A Comprehensive Evaluation Benchmark for Multimodal Large Language Models](https://md.research.elamur.ai/free/en/papers/fu-2023-mme-comprehensive-evaluation-benchmark-multimodal/) — Chaoyou Fu, Peixian Chen, Yunhang Shen, et al. · 2023 · 529 citations - [LAION-400M: Open Dataset of CLIP-Filtered 400 Million Image-Text Pairs](https://md.research.elamur.ai/free/en/papers/schuhmann-2021-laion-400m-open-dataset-clip/) — Christoph Schuhmann, Richard Vencu, Romain Beaumont, et al. · 2021 · 528 citations [← prev](https://md.research.elamur.ai/free/en/topics/multimodal/) [1](https://md.research.elamur.ai/free/en/topics/multimodal/) **2** [3](https://md.research.elamur.ai/free/en/topics/multimodal/page/3/) … [9](https://md.research.elamur.ai/free/en/topics/multimodal/page/9/) [next →](https://md.research.elamur.ai/free/en/topics/multimodal/page/3/)