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By extending the advantage of chain-of-thought (CoT) reasoning in human-like step-by-step processes to multimodal contexts, multimodal CoT (MCoT) reasoning has recently garnered significant research attention, especially in the integration with multimodal large language models (MLLMs).
In two minds: dual-process accounts of reasoning
Jonathan St BT Evans · 2003
Earlier work this paper cites.
Language models are few-shot learners
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Earlier work this paper cites.
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Earlier work this paper cites.
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Earlier work this paper cites.
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Earlier work this paper cites.
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Earlier work this paper cites.
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Earlier work this paper cites.
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Earlier work this paper cites.
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Earlier work this paper cites.
Self-consistency improves chain of thought reasoning in language models
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Earlier work this paper cites.
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Earlier work this paper cites.
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Earlier work this paper cites.
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Earlier work this paper cites.
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Earlier work this paper cites.
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Earlier work this paper cites.
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Earlier work this paper cites.
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Earlier work this paper cites.
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Earlier work this paper cites.
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Earlier work this paper cites.
RT-2: vision-language-action models transfer web knowledge to robotic control
Brianna Zitkovich, Tianhe Yu, Sichun Xu, Peng Xu, Ted Xiao, Fei Xia, Jialin Wu, Paul Wohlhart, Stefan Welker, Ayzaan Wahid, Quan Vuong, Vincent Vanhoucke, Huong T. Tran, Radu Soricut, Anikait Singh, Jaspiar Singh, Pierre Sermanet, Pannag R. Sanketi, Grecia Salazar, Michael S. Ryoo, Krista Reymann, Kanishka Rao, Karl Pertsch, Igor Mordatch, Henryk Michalewski, Yao Lu, Sergey Levine, Lisa Lee, Tsang-Wei Edward Lee, Isabel Leal, Yuheng Kuang, Dmitry Kalashnikov, Ryan Julian, Nikhil J. Joshi, Alex Irpan, Brian Ichter, Jasmine Hsu, Alexander Herzog, Karol Hausman, Keerthana Gopalakrishnan, Chuyuan Fu, Pete Florence, Chelsea Finn, Kumar Avinava Dubey, Danny Driess, Tianli Ding, Krzysztof Marcin Choromanski, Xi Chen, Yevgen Chebotar, Justice Carbajal, Noah Brown, Anthony Brohan, Montserrat Gonzalez Arenas, and Kehang Han · 2023
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Visual chain of thought: bridging logical gaps with multimodal infillings
Daniel Rose, Vaishnavi Himakunthala, Andy Ouyang, Ryan He, Alex Mei, Yujie Lu, Michael Saxon, Chinmay Sonar, Diba Mirza, and William Yang Wang · 2023
Earlier work this paper cites.
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Earlier work this paper cites.
Chain of images for intuitively reasoning
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Earlier work this paper cites.
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Earlier work this paper cites.
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Earlier work this paper cites.
Multimodal-tot
Kye Gomez · 2023
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Chain of thought prompt tuning in vision language models
Jiaxin Ge, Hongyin Luo, Siyuan Qian, Yulu Gan, Jie Fu, and Shanghang Zhang · 2023
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You only look at screens: Multimodal chain-of-action agents
Zhuosheng Zhang and Aston Zhang · 2023
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Chain-of-look prompting for verb-centric surgical triplet recognition in endoscopic videos
Nan Xi, Jingjing Meng, and Junsong Yuan · 2023
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Pan Lu, Hritik Bansal, Tony Xia, Jiacheng Liu, Chunyuan Li, Hannaneh Hajishirzi, Hao Cheng, Kai-Wei Chang, Michel Galley, and Jianfeng Gao · 2023
Earlier work this paper cites.
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Henghui Ding, Chang Liu, Shuting He, Xudong Jiang, and Chen Change Loy · 2023
Earlier work this paper cites.
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Earlier work this paper cites.
Large language model guided tree-of-thought
Jieyi Long · 2023
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Earlier work this paper cites.
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Deyao Zhu, Jun Chen, Xiaoqian Shen, Xiang Li, and Mohamed Elhoseiny · 2023
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Llasm: Large language and speech model
Yu Shu, Siwei Dong, Guangyao Chen, Wenhao Huang, Ruihua Zhang, Daochen Shi, Qiqi Xiang, and Yemin Shi · 2023
Earlier work this paper cites.
Kosmos-2: Grounding multimodal large language models to the world
Zhiliang Peng, Wenhui Wang, Li Dong, Yaru Hao, Shaohan Huang, Shuming Ma, and Furu Wei · 2023
Earlier work this paper cites.
Generating images with multimodal language models
Jing Yu Koh, Daniel Fried, and Russ R Salakhutdinov · 2023
Earlier work this paper cites.
Emu: Generative pretraining in multimodality
Quan Sun, Qiying Yu, Yufeng Cui, Fan Zhang, Xiaosong Zhang, Yueze Wang, Hongcheng Gao, Jingjing Liu, Tiejun Huang, and Xinlong Wang · 2023
Earlier work this paper cites.
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Paul K Rubenstein, Chulayuth Asawaroengchai, Duc Dung Nguyen, Ankur Bapna, Zalán Borsos, Félix de Chaumont Quitry, Peter Chen, Dalia El Badawy, Wei Han, Eugene Kharitonov, et al · 2023
Earlier work this paper cites.
Videopoet: A large language model for zero-shot video generation
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Earlier work this paper cites.
The role of chain-of-thought in complex vision-language reasoning task
Yifan Wu, Pengchuan Zhang, Wenhan Xiong, Barlas Oguz, James C Gee, and Yixin Nie · 2023
Earlier work this paper cites.
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Earlier work this paper cites.
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Earlier work this paper cites.
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alphaXiv searches the wider corpus for related work and actual follow-ups.
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URL https://yangyi-vai.notion.site/r1-onevision#198b1e4047f780c78306fb451be7160d
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