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Chart generation aims to generate code to produce charts satisfying the desired visual properties, e.g., texts, layout, color, and type.
Speech and language processing: an introduction to natural language processing, computational linguistics, and speech recognition
Virginia Teller. 2000 · 2000
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Sequence transduction with recurrent neural networks
Alex Graves. 2012 · 2012
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Making data visualization more efficient and effective: a survey
Xuedi Qin, Yuyu Luo, Nan Tang, and Guoliang Li. 2020 · 2020
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Qwen-vl: A frontier large vision-language model with versatile abilities
Jinze Bai, Shuai Bai, Shusheng Yang, Shijie Wang, Sinan Tan, Peng Wang, Junyang Lin, Chang Zhou, and Jingren Zhou. 2023 · 2023
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Gemini: A family of highly capable multimodal models
Google. 2023 · 2023
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Chartllama: A multimodal llm for chart understanding and generation
Yucheng Han, Chi Zhang, Xin Chen, Xu Yang, Zhibin Wang, Gang Yu, Bin Fu, and Hanwang Zhang. 2023 · 2023
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Gpt-4v(ision) system card
OpenAI. 2023 · 2023
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Chartbench: A benchmark for complex visual reasoning in charts
Zhengzhuo Xu, Sinan Du, Yiyan Qi, Chengjin Xu, Chun Yuan, and Jian Guo. 2023 · 2023
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Yilun Du, Shuang Li, Antonio Torralba, Joshua B. Tenenbaum, and Igor Mordatch. 2024 · 2024
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Agents’ room: Narrative generation through multi-step collaboration
Fantine Huot, Reinald Kim Amplayo, Jennimaria Palomaki, Alice Shoshana Jakobovits, Elizabeth Clark, and Mirella Lapata. 2024 · 2024
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Aaron Hurst, Adam Lerer, Adam P Goucher, Adam Perelman, Aditya Ramesh, Aidan Clark, AJ Ostrow, Akila Welihinda, Alan Hayes, Alec Radford, et al. 2024 · 2024
Scaling llm test-time compute optimally can be more effective than scaling model parameters
Charlie Snell, Jaehoon Lee, Kelvin Xu, and Aviral Kumar. 2024 · 2024
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Hint-enhanced in-context learning wakes large language models up for knowledge-intensive tasks
Yifan Wang, Qingyan Guo, Xinzhe Ni, Chufan Shi, Lemao Liu, Haiyun Jiang, and Yujiu Yang. 2024 · 2024
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Tradingagents: Multi-agents llm financial trading framework
Yijia Xiao, Edward Sun, Di Luo, and Wei Wang. 2024 · 2024
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LLaVA-UHD: an lmm perceiving any aspect ratio and high-resolution images
Ruyi Xu, Yuan Yao, Zonghao Guo, Junbo Cui, Zanlin Ni, Chunjiang Ge, Tat-Seng Chua, Zhiyuan Liu, and Gao Huang. 2024 · 2024
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Matplotagent: Method and evaluation for llm-based agentic scientific data visualization
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Llava-next: Stronger llms supercharge multimodal capabilities in the wild
Bo Li, Kaichen Zhang, Hao Zhang, Dong Guo, Renrui Zhang, Feng Li, Yuanhan Zhang, Ziwei Liu, and Chunyuan Li. 2024 · 2024
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Deepseek-vl: Towards real-world vision-language understanding
Haoyu Lu, Wen Liu, Bo Zhang, Bingxuan Wang, Kai Dong, Bo Liu, Jingxiang Sun, Tongzheng Ren, Zhuoshu Li, Yaofeng Sun, Chengqi Deng, Hanwei Xu, Zhenda Xie, and Chong Ruan. 2024 · 2024
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Chartmimic: Evaluating lmm’s cross-modal reasoning capability via chart-to-code generation
Chufan Shi, Cheng Yang, Yaxin Liu, Bo Shui, Junjie Wang, Mohan Jing, Linran Xu, Xinyu Zhu, Siheng Li, Yuxiang Zhang, Gongye Liu, Xiaomei Nie, Deng Cai, and Yujiu Yang. 2024 · 2024
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Chengyue Wu, Yixiao Ge, Qiushan Guo, Jiahao Wang, Zhixuan Liang, Zeyu Lu, Ying Shan, and Ping Luo. 2024a
Cited in the paper.
Yangzhen Wu, Zhiqing Sun, Shanda Li, Sean Welleck, and Yiming Yang. 2024b
Cited in the paper.
Zhiyu Yang, Zihan Zhou, Shuo Wang, Xin Cong, Xu Han, Yukun Yan, Zhenghao Liu, Zhixing Tan, Pengyuan Liu, Dong Yu, et al. 2024 · 2024
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The shift from models to compound ai systems
Matei Zaharia, Omar Khattab, Lingjiao Chen, Jared Quincy Davis, Heather Miller, Chris Potts, James Zou, Michael Carbin, Jonathan Frankle, Naveen Rao, and Ali Ghodsi. 2024 · 2024
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Scaling llm inference with optimized sample compute allocation
Kexun Zhang, Shang Zhou, Danqing Wang, William Yang Wang, and Lei Li. 2024 · 2024
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Niklas Muennighoff, Zitong Yang, Weijia Shi, Xiang Lisa Li, Li Fei-Fei, Hannaneh Hajishirzi, Luke Zettlemoyer, Percy Liang, Emmanuel Candès, and Tatsunori Hashimoto. 2025 · 2025
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