$C^2$: Scalable Auto-Feedback for LLM-based Chart Generation

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$C^2$ : Scalable Auto-Feedback for LLM-based Chart Generation

24 October 2024

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Papers citing "$C^2$: Scalable Auto-Feedback for LLM-based Chart Generation"

16 / 16 papers shown

Title
Large Language Monkeys: Scaling Inference Compute with Repeated Sampling Bradley Brown Jordan Juravsky Ryan Ehrlich Ronald Clark Quoc V. Le Christopher Ré Azalia Mirhoseini ALM LRM 245 325 0 03 Jan 2025
Text2Chart31: Instruction Tuning for Chart Generation with Automatic Feedback Fatemeh Pesaran Zadeh Juyeon Kim Jin-Hwa Kim Gunhee Kim ALM 97 5 0 05 Oct 2024
Scaling LLM Test-Time Compute Optimally can be More Effective than Scaling Model Parameters Charlie Snell Jaehoon Lee Kelvin Xu Aviral Kumar LRM 193 692 0 06 Aug 2024
ChartFormer: A Large Vision Language Model for Converting Chart Images into Tactile Accessible SVGs Omar Moured Sara Alzalabny Anas Osman Thorsten Schwarz Karin Muller Rainer Stiefelhagen 84 1 0 29 May 2024
ChartLlama: A Multimodal LLM for Chart Understanding and Generation Yucheng Han C. Zhang Xin Chen Xu Yang Zhibin Wang Gang Yu Bin-Bin Fu Hanwang Zhang MLLM 70 106 0 27 Nov 2023
ChartGPT: Leveraging LLMs to Generate Charts from Abstract Natural Language Yuan Tian Weiwei Cui Dazhen Deng Xinjing Yi Yurun Yang Haidong Zhang Yingcai Wu 112 72 0 03 Nov 2023
Parameterizing Context: Unleashing the Power of Parameter-Efficient Fine-Tuning and In-Context Tuning for Continual Table Semantic Parsing Yongrui Chen Shenyu Zhang Guilin Qi Xinnan Guo CLL 62 8 0 07 Oct 2023
GPT-4 Technical Report OpenAI OpenAI OpenAI Josh Achiam Steven Adler Sandhini Agarwal Lama Ahmad ... Shengjia Zhao Tianhao Zheng Juntang Zhuang William Zhuk Barret Zoph LLMAG MLLM 1.5K 14,699 0 15 Mar 2023
Large Language Models Can Self-Improve Jiaxin Huang S. Gu Le Hou Yuexin Wu Xuezhi Wang Hongkun Yu Jiawei Han ReLM AI4MH LRM 199 612 0 20 Oct 2022
Striking a Balance: Reader Takeaways and Preferences when Integrating Text and Charts Chase Stokes V. Setlur Bridget Cogley Arvind Satyanarayan Marti A. Hearst 80 55 0 02 Aug 2022
Understanding Data Visualization Design Practice Paul C. Parsons AI4CE 44 32 0 17 Aug 2021
ChartStory: Automated Partitioning, Layout, and Captioning of Charts into Comic-Style Narratives Jian Zhao Shenyu Xu Senthil K. Chandrasegaran Chris Bryan F. Du Aditi Mishra Xin-Yao Qian Yiran Li K. Ma 60 43 0 06 Mar 2021
Learning Transferable Visual Models From Natural Language Supervision Alec Radford Jong Wook Kim Chris Hallacy Aditya A. Ramesh Gabriel Goh ... Amanda Askell Pamela Mishkin Jack Clark Gretchen Krueger Ilya Sutskever CLIP VLM 967 29,810 0 26 Feb 2021
Towards Understanding How Readers Integrate Charts and Captions: A Case Study with Line Charts Dae Hyun Kim V. Setlur Maneesh Agrawala 42 56 0 20 Jan 2021
NL4DV: A Toolkit for Generating Analytic Specifications for Data Visualization from Natural Language Queries Arpit Narechania Arjun Srinivasan J. Stasko 52 180 0 24 Aug 2020
Scaling Laws for Neural Language Models Jared Kaplan Sam McCandlish T. Henighan Tom B. Brown B. Chess R. Child Scott Gray Alec Radford Jeff Wu Dario Amodei 611 4,905 0 23 Jan 2020