--- title: "Vision & language — papers" description: "Vision & language: 218 papers of the Elamur Research library, the most cited first." canonical: "https://research.elamur.ai/free/en/topics/multimodal/" --- [Elamur Research](https://md.research.elamur.ai/free/en/) · [this page in HTML](https://research.elamur.ai/free/en/topics/multimodal/) [home](https://md.research.elamur.ai/free/en/) / [topics](https://md.research.elamur.ai/free/en/topics/) / Vision & language # 🖼️ Vision & language 218 papers · page 1 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. **1** [2](https://md.research.elamur.ai/free/en/topics/multimodal/page/2/) … [9](https://md.research.elamur.ai/free/en/topics/multimodal/page/9/) [next →](https://md.research.elamur.ai/free/en/topics/multimodal/page/2/) - [Show, Attend and Tell: Neural Image Caption Generation with Visual Attention](https://md.research.elamur.ai/free/en/papers/xu-2015-show-attend-tell-neural-image/) — Kelvin Xu, Jimmy Ba, Ryan Kiros, et al. · 2015 · 7 483 citations - [Gemini: A Family of Highly Capable Multimodal Models](https://md.research.elamur.ai/free/en/papers/gemini-2023-team-gemini-family-highly-capable-multimodal/) — Gemini Team, Rohan Anil, Sebastian Borgeaud, et al. · 2023 · 2 951 citations - [Hierarchical Text-Conditional Image Generation with CLIP Latents](https://md.research.elamur.ai/free/en/papers/ramesh-2022-hierarchical-text-conditional-image-generation/) — Aditya Ramesh, Prafulla Dhariwal, Alex Nichol, et al. · 2022 · 2 599 citations - [Improved Baselines with Visual Instruction Tuning](https://md.research.elamur.ai/free/en/papers/liu-2023-improved-baselines-visual-instruction-tuning/) — Haotian Liu, Chunyuan Li, Yuheng Li, et al. · 2023 · 2 557 citations - [Visual Instruction Tuning](https://md.research.elamur.ai/free/en/papers/liu-2023-visual-instruction-tuning/) — Haotian Liu, Chunyuan Li, Qingyang Wu, et al. · 2023 · 2 487 citations - [Photorealistic Text-to-Image Diffusion Models with Deep Language Understanding](https://md.research.elamur.ai/free/en/papers/saharia-2022-photorealistic-text-image-diffusion-models/) — Chitwan Saharia, William Chan, Saurabh Saxena, et al. · 2022 · 2 416 citations - [Self-critical Sequence Training for Image Captioning](https://md.research.elamur.ai/free/en/papers/rennie-2016-self-critical-sequence-training-image/) — Steven J. Rennie, Etienne Marcheret, Youssef Mroueh, et al. · 2016 · 2 367 citations - [UNITER: UNiversal Image-TExt Representation Learning](https://md.research.elamur.ai/free/en/papers/chen-2019-uniter-universal-image-text-representation/) — Yen-Chun Chen, Linjie Li, Licheng Yu, et al. · 2019 · 2 344 citations - [Conceptual Captions: A Cleaned, Hypernymed, Image Alt-text Dataset For Automatic Image Captioning](https://md.research.elamur.ai/free/en/papers/sharma-2018-conceptual-captions-cleaned-hypernymed-image/) — Piyush Sharma, Nan Ding, Sebastian Goodman, et al. · 2018 · 2 278 citations - [ViLBERT: Pretraining Task-Agnostic Visiolinguistic Representations for Vision-and-Language Tasks](https://md.research.elamur.ai/free/en/papers/lu-2019-vilbert-pretraining-task-agnostic-visiolinguistic/) — Jiasen Lu, Dhruv Batra, Devi Parikh, et al. · 2019 · 2 217 citations - [Multimodal Transformer for Unaligned Multimodal Language Sequences](https://md.research.elamur.ai/free/en/papers/tsai-2019-multimodal-transformer-unaligned-multimodal-language/) — Yao-Hung Hubert Tsai, Shaojie Bai, Paul Pu Liang, et al. · 2019 · 2 170 citations - [Flamingo: a Visual Language Model for Few-Shot Learning](https://md.research.elamur.ai/free/en/papers/alayrac-2022-flamingo-visual-language-model-few/) — Jean-Baptiste Alayrac, Jeff Donahue, Pauline Luc, et al. · 2022 · 2 108 citations - [Tensor Fusion Network for Multimodal Sentiment Analysis](https://md.research.elamur.ai/free/en/papers/zadeh-2017-tensor-fusion-network-multimodal-sentiment/) — Amir Zadeh, Minghai Chen, Soujanya Poria, et al. · 2017 · 2 107 citations - [Oscar: Object-Semantics Aligned Pre-training for Vision-Language Tasks](https://md.research.elamur.ai/free/en/papers/li-2020-oscar-object-semantics-aligned-pre/) — Xiujun Li, Xi Yin, Chunyuan Li, et al. · 2020 · 1 827 citations - [MELD: A Multimodal Multi-Party Dataset for Emotion Recognition in Conversations](https://md.research.elamur.ai/free/en/papers/poria-2018-meld-multimodal-multi-party-dataset/) — Soujanya Poria, Devamanyu Hazarika, Navonil Majumder, et al. · 2018 · 1 668 citations - [Multimodal Compact Bilinear Pooling for Visual Question Answering and Visual Grounding](https://md.research.elamur.ai/free/en/papers/fukui-2016-multimodal-compact-bilinear-pooling-visual/) — Akira Fukui, Dong Huk Park, Daylen Yang, et al. · 2016 · 1 642 citations - [Scaling Up Visual and Vision-Language Representation Learning With Noisy Text Supervision](https://md.research.elamur.ai/free/en/papers/jia-2021-scaling-up-visual-vision-language/) — Chao Jia, Yinfei Yang, Ye Xia, et al. · 2021 · 1 528 citations - [Gemini 1.5: Unlocking multimodal understanding across millions of tokens of context](https://md.research.elamur.ai/free/en/papers/gemini-2024-team-gemini-1-5-unlocking-multimodal/) — Gemini Team, Petko Georgiev, Ving Ian Lei, et al. · 2024 · 1 522 citations - [VisualBERT: A Simple and Performant Baseline for Vision and Language](https://md.research.elamur.ai/free/en/papers/li-2019-visualbert-simple-performant-baseline-vision/) — Liunian Harold Li, Mark Yatskar, Da Yin, et al. · 2019 · 1 510 citations - [Multimodal Language Analysis in the Wild: CMU-MOSEI Dataset and Interpretable Dynamic Fusion Graph](https://md.research.elamur.ai/free/en/papers/zadeh-2018-multimodal-language-analysis-wild-cmu/) — AmirAli Bagher Zadeh, Paul Pu Liang, Soujanya Poria, et al. · 2018 · 1 506 citations - [CLIPScore: A Reference-free Evaluation Metric for Image Captioning](https://md.research.elamur.ai/free/en/papers/hessel-2021-clipscore-reference-free-evaluation-metric/) — Jack Hessel, Ari Holtzman, Maxwell Forbes, et al. · 2021 · 1 498 citations - [BLIP: Bootstrapping Language-Image Pre-training for Unified Vision-Language Understanding and Generation](https://md.research.elamur.ai/free/en/papers/li-2022-blip-bootstrapping-language-image-pre/) — Junnan Li, Dongxu Li, Caiming Xiong, et al. · 2022 · 1 463 citations - [Zero-Shot Text-to-Image Generation](https://md.research.elamur.ai/free/en/papers/ramesh-2021-zero-shot-text-image-generation/) — Aditya Ramesh, Mikhail Pavlov, Gabriel Goh, et al. · 2021 · 1 423 citations - [LAION-5B: An open large-scale dataset for training next generation image-text models](https://md.research.elamur.ai/free/en/papers/schuhmann-2022-laion-5b-open-large-scale/) — Christoph Schuhmann, Romain Beaumont, Richard Vencu, et al. · 2022 · 1 400 citations - [Vision-and-Language Navigation: Interpreting visually-grounded navigation instructions in real environments](https://md.research.elamur.ai/free/en/papers/anderson-2017-vision-language-navigation-interpreting-visually/) — Peter Anderson, Qi Wu, Damien Teney, et al. · 2017 · 1 346 citations **1** [2](https://md.research.elamur.ai/free/en/topics/multimodal/page/2/) … [9](https://md.research.elamur.ai/free/en/topics/multimodal/page/9/) [next →](https://md.research.elamur.ai/free/en/topics/multimodal/page/2/) - 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