GeoGPT4V: Towards Geometric Multi-modal Large Language Models with Geometric Image Generation

Curriculum learning

Yoshua Bengio, Jérôme Louradour, Ronan Collobert, and Jason Weston. 2009 · 2009

Earlier work this paper cites.

Curriculum learning for natural language understanding

Benfeng Xu, Licheng Zhang, Zhendong Mao, Quan Wang, Hongtao Xie, and Yongdong Zhang. 2020 · 2020

Earlier work this paper cites.

Geoqa: A geometric question answering benchmark towards multimodal numerical reasoning

Jiaqi Chen, Jianheng Tang, Jinghui Qin, Xiaodan Liang, Lingbo Liu, Eric P. Xing, and Liang Lin. 2021 · 2021

Earlier work this paper cites.

Clipscore: A reference-free evaluation metric for image captioning

Jack Hessel, Ari Holtzman, Maxwell Forbes, Ronan Le Bras, and Yejin Choi. 2021 · 2021

Earlier work this paper cites.

Inter-gps: Interpretable geometry problem solving with formal language and symbolic reasoning

Pan Lu, Ran Gong, Shibiao Jiang, Liang Qiu, Siyuan Huang, Xiaodan Liang, and Song-Chun Zhu. 2021 · 2021

Earlier work this paper cites.

An augmented benchmark dataset for geometric question answering through dual parallel text encoding

Jie Cao and Jing Xiao. 2022 · 2022

Earlier work this paper cites.

Unigeo: Unifying geometry logical reasoning via reformulating mathematical expression

Jiaqi Chen, Tong Li, Jinghui Qin, Pan Lu, Liang Lin, Chongyu Chen, and Xiaodan Liang. 2022 · 2022

Earlier work this paper cites.

Chartqa: A benchmark for question answering about charts with visual and logical reasoning

Ahmed Masry, Do Xuan Long, Jia Qing Tan, Shafiq R. Joty, and Enamul Hoque. 2022 · 2022

Earlier work this paper cites.

Chain-of-thought prompting elicits reasoning in large language models

Jason Wei, Xuezhi Wang, Dale Schuurmans, Maarten Bosma, Brian Ichter, Fei Xia, Ed H. Chi, Quoc V. Le, and Denny Zhou. 2022 · 2022

Earlier work this paper cites.

FILIP: fine-grained interactive language-image pre-training

Lewei Yao, Runhui Huang, Lu Hou, Guansong Lu, Minzhe Niu, Hang Xu, Xiaodan Liang, Zhenguo Li, Xin Jiang, and Chunjing Xu. 2022 · 2022

Earlier work this paper cites.

Gemini: A family of highly capable multimodal models

Rohan Anil, Sebastian Borgeaud, Yonghui Wu, Jean-Baptiste Alayrac, Jiahui Yu, Radu Soricut, Johan Schalkwyk, Andrew M. Dai, Anja Hauth, Katie Millican, David Silver, Slav Petrov, Melvin Johnson, Ioannis Antonoglou, Julian Schrittwieser, Amelia Glaese, Jilin Chen, Emily Pitler, Timothy P. Lillicrap, Angeliki Lazaridou, Orhan Firat, James Molloy, Michael Isard, Paul Ronald Barham, Tom Hennigan, Benjamin Lee, Fabio Viola, Malcolm Reynolds, Yuanzhong Xu, Ryan Doherty, Eli Collins, Clemens Meyer, Eliza Rutherford, Erica Moreira, Kareem Ayoub, Megha Goel, George Tucker, Enrique Piqueras, Maxim Krikun, Iain Barr, Nikolay Savinov, Ivo Danihelka, Becca Roelofs, Anaïs White, Anders Andreassen, Tamara von Glehn, Lakshman Yagati, Mehran Kazemi, Lucas Gonzalez, Misha Khalman, Jakub Sygnowski, and et al. 2023 · 2023

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Qwen-vl: A versatile vision-language model for understanding, localization, text reading, and beyond

Original

Jinze Bai, Shuai Bai, Shusheng Yang, Shijie Wang, Sinan Tan, Peng Wang, Junyang Lin, Chang Zhou, and Jingren Zhou. 2023 · 2023

Cited alongside, same era.

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 C. H. Hoi. 2023 · 2023

Cited alongside, same era.

G-llava: Solving geometric problem with multi-modal large language model

Metamath: Bootstrap your own mathematical questions for large language models

Original

Longhui Yu, Weisen Jiang, Han Shi, Jincheng Yu, Zhengying Liu, Yu Zhang, James T. Kwok, Zhenguo Li, Adrian Weller, and Weiyang Liu. 2023 · 2023

Later among the works it cites.

MMMU: A massive multi-discipline multimodal understanding and reasoning benchmark for expert AGI

Original

Xiang Yue, Yuansheng Ni, Kai Zhang, Tianyu Zheng, Ruoqi Liu, Ge Zhang, Samuel Stevens, Dongfu Jiang, Weiming Ren, Yuxuan Sun, Cong Wei, Botao Yu, Ruibin Yuan, Renliang Sun, Ming Yin, Boyuan Zheng, Zhenzhu Yang, Yibo Liu, Wenhao Huang, Huan Sun, Yu Su, and Wenhu Chen. 2023 · 2023

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Automatic model selection with large language models for reasoning

James Xu Zhao, Yuxi Xie, Kenji Kawaguchi, Junxian He, and Michael Qizhe Xie. 2023 · 2023

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LIMA: less is more for alignment

Chunting Zhou, Pengfei Liu, Puxin Xu, Srinivasan Iyer, Jiao Sun, Yuning Mao, Xuezhe Ma, Avia Efrat, Ping Yu, Lili Yu, Susan Zhang, Gargi Ghosh, Mike Lewis, Luke Zettlemoyer, and Omer Levy. 2023b · 2023

Later among the works it cites.