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We introduce MMMU: a new benchmark designed to evaluate multimodal models on massive multi-discipline tasks demanding college-level subject knowledge and deliberate reasoning.
Referitgame: Referring to objects in photographs of natural scenes
Sahar Kazemzadeh, Vicente Ordonez, Mark Matten, and Tamara Berg · 2014
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Microsoft coco: Common objects in context
Tsung-Yi Lin, Michael Maire, Serge Belongie, James Hays, Pietro Perona, Deva Ramanan, Piotr Dollár, and C Lawrence Zitnick · 2014
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VQA: Visual Question Answering
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Gqa: A new dataset for real-world visual reasoning and compositional question answering
Drew A Hudson and Christopher D Manning · 2019
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Measuring massive multitask language understanding
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Unified vision-language pre-training for image captioning and vqa
Luowei Zhou, Hamid Palangi, Lei Zhang, Houdong Hu, Jason Corso, and Jianfeng Gao · 2020
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An image is worth 16x16 words: Transformers for image recognition at scale
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Scaling up visual and vision-language representation learning with noisy text supervision
Chao Jia, Yinfei Yang, Ye Xia, Yi-Ting Chen, Zarana Parekh, Hieu Pham, Quoc Le, Yun-Hsuan Sung, Zhen Li, and Tom Duerig · 2021
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Learning transferable visual models from natural language supervision
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Simvlm: Simple visual language model pretraining with weak supervision
Zirui Wang, Jiahui Yu, Adams Wei Yu, Zihang Dai, Yulia Tsvetkov, and Yuan Cao · 2021
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Vinvl: Revisiting visual representations in vision-language models
Pengchuan Zhang, Xiujun Li, Xiaowei Hu, Jianwei Yang, Lei Zhang, Lijuan Wang, Yejin Choi, and Jianfeng Gao · 2021
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Flamingo: a visual language model for few-shot learning
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Palm: Scaling language modeling with pathways
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Scaling instruction-finetuned language models
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Learn to explain: Multimodal reasoning via thought chains for science question answering
Pan Lu, Swaroop Mishra, Tanglin Xia, Liang Qiu, Kai-Wei Chang, Song-Chun Zhu, Oyvind Tafjord, Peter Clark, and Ashwin Kalyan · 2022
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Coca: Contrastive captioners are image-text foundation models
Jiahui Yu, Zirui Wang, Vijay Vasudevan, Legg Yeung, Mojtaba Seyedhosseini, and Yonghui Wu · 2022
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Artificial general intelligence is already here
Blaise Agüera y Arcas and Peter Norvig · 2023
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Openflamingo: An open-source framework for training large autoregressive vision-language models
Anas Awadalla, Irena Gao, Josh Gardner, Jack Hessel, Yusuf Hanafy, Wanrong Zhu, Kalyani Marathe, Yonatan Bitton, Samir Gadre, Shiori Sagawa, et al · 2023
Qwen-vl-plus
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Generative multimodal models are in-context learners
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Lvlm-ehub: A comprehensive evaluation benchmark for large vision-language models
Peng Xu, Wenqi Shao, Kaipeng Zhang, Peng Gao, Shuo Liu, Meng Lei, Fanqing Meng, Siyuan Huang, Yu Qiao, and Ping Luo · 2023
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The dawn of lmms: Preliminary explorations with gpt-4v (ision)
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Lamm: Language-assisted multi-modal instruction-tuning dataset, framework, and benchmark
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Qwen-vl: A versatile vision-language model for understanding, localization, text reading, and beyond
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Introducing our multimodal models, 2023
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Sparks of artificial general intelligence: Early experiments with gpt-4
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Vicuna: An open-source chatbot impressing gpt-4 with 90%* chatgpt quality, 2023
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Holistic analysis of hallucination in gpt-4v (ision): Bias and interference challenges
Chenhang Cui, Yiyang Zhou, Xinyu Yang, Shirley Wu, Linjun Zhang, James Zou, and Huaxiu Yao · 2023
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Instructblip: Towards general-purpose vision-language models with instruction tuning
Wenliang Dai, Junnan Li, Dongxu Li, Anthony Meng Huat Tiong, Junqi Zhao, Weisheng Wang, Boyang Li, Pascale Fung, and Steven Hoi · 2023
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Llama-adapter v2: Parameter-efficient visual instruction model
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Zhenfei Yin, Jiong Wang, Jianjian Cao, Zhelun Shi, Dingning Liu, Mukai Li, Lu Sheng, Lei Bai, Xiaoshui Huang, Zhiyong Wang, et al · 2023
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Mm-vet: Evaluating large multimodal models for integrated capabilities
Weihao Yu, Zhengyuan Yang, Linjie Li, Jianfeng Wang, Kevin Lin, Zicheng Liu, Xinchao Wang, and Lijuan Wang · 2023
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Llama-adapter: Efficient fine-tuning of language models with zero-init attention
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Agieval: A human-centric benchmark for evaluating foundation models
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Minigpt-4: Enhancing vision-language understanding with advanced large language models
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Bunny-3b
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Adept fuyu-heavy: A new multimodal model
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Gemini 1.5: Unlocking multimodal understanding across millions of tokens of context
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Revolutionizing the future with hyper generative ai
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Agi and aigc business skywork
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Llava-next: Improved reasoning, ocr, and world knowledge
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Ominilmm-12b
OminiLMM · 2024
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Reka core, flash, and edge: A series of powerful multimodal language models
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Qwen-vl-max
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Sensechat-vision, 2024
sensenova · 2024
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Yi: Open foundation models by 01. ai
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