Draw with Thought: Unleashing Multimodal Reasoning for Scientific Diagram Generation

Structure-mapping: A theoretical framework for analogy

Dedre Gentner. 1983 · 1983

Earlier work this paper cites.

Diagrams in the comprehension of scientific texts

Mary Hegarty, Patricia A Carpenter, and Marcel Adam Just. 1991 · 1991

Earlier work this paper cites.

Cognitive load theory

Jan L Plass, Roxana Moreno, and Roland Brünken. 2010 · 2010

Earlier work this paper cites.

The effects of visual complexity on cognitive load as influenced by field dependency and spatial ability

Christopher Gene Allen. 2011 · 2011

Earlier work this paper cites.

SVG essentials: Producing scalable vector graphics with XML

J David Eisenberg and Amelia Bellamy-Royds. 2014 · 2014

Earlier work this paper cites.

Best-worst scaling: theory and methods

Terry N Flynn and Anthony AJ Marley. 2014 · 2014

Earlier work this paper cites.

Spearman correlation coefficients, differences between

Leann Myers and Maria J Sirois. 2014 · 2014

Earlier work this paper cites.

Diagrams as tools for scientific reasoning

Adele Abrahamsen and William Bechtel. 2015 · 2015

Earlier work this paper cites.

Best-worst scaling: Theory, methods and applications

Jordan J Louviere, Terry N Flynn, and Anthony Alfred John Marley. 2015 · 2015

Earlier work this paper cites.

Fidelity vs. simplicity: a global approach to line drawing vectorization

Jean-Dominique Favreau, Florent Lafarge, and Adrien Bousseau. 2016 · 2016

Earlier work this paper cites.

Gans trained by a two time-scale update rule converge to a local nash equilibrium

Martin Heusel, Hubert Ramsauer, Thomas Unterthiner, Bernhard Nessler, and Sepp Hochreiter. 2017 · 2017

Earlier work this paper cites.

Questionnaire design

Jon A Krosnick. 2017 · 2017

Earlier work this paper cites.

Pdf2latex: A deep learning system to convert mathematical documents from pdf to latex. In Proceedings of the ACM Symposium on Document Engineering 2020 . 1–10

Zelun Wang and Jyh-Charn Liu. 2020 · 2020

Earlier work this paper cites.

Emerging properties in self-supervised vision transformers. In Proceedings of the IEEE/CVF international conference on computer vision . 9650–9660

Mathilde Caron, Hugo Touvron, Ishan Misra, Hervé Jégou, Julien Mairal, Piotr Bojanowski, and Armand Joulin. 2021 · 2021

Earlier work this paper cites.

Clipscore: A reference-free evaluation metric for image captioning

Original

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

Earlier work this paper cites.

Fantastically ordered prompts and where to find them: Overcoming few-shot prompt order sensitivity

Original

Yao Lu, Max Bartolo, Alastair Moore, Sebastian Riedel, and Pontus Stenetorp. 2021 · 2021

Earlier work this paper cites.

Deepvecfont: synthesizing high-quality vector fonts via dual-modality learning

Yizhi Wang and Zhouhui Lian. 2021 · 2021

Earlier work this paper cites.

Improved Aesthetic Predictor

Christoph Schuhmann. 2022 · 2022

Earlier work this paper cites.

CLIP Models are Few-Shot Learners: Empirical Studies on VQA and Visual Entailment. In Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers) . 6088–6100

Haoyu Song, Li Dong, Weinan Zhang, Ting Liu, and Furu Wei. 2022 · 2022

Earlier work this paper cites.

Beyond the imitation game: Quantifying and extrapolating the capabilities of language models

Original

Aarohi Srivastava, Abhinav Rastogi, Abhishek Rao, Abu Awal Md Shoeb, Abubakar Abid, Adam Fisch, Adam R Brown, Adam Santoro, Aditya Gupta, Adrià Garriga-Alonso, et al · 2022

Earlier work this paper cites.

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

Jason Wei, Xuezhi Wang, Dale Schuurmans, Maarten Bosma, Fei Xia, Ed Chi, Quoc V Le, Denny Zhou, et al · 2022

Cited alongside, same era.

InstructBLIP: Towards General-purpose Vision-Language Models with Instruction Tuning. In Advances in Neural Information Processing Systems , A. Oh, T. Naumann, A. Globerson, K. Saenko, M. Hardt, and S. Levine (Eds.), Vol. 36. Curran Associates, Inc., 49250–49267

Wenliang Dai, Junnan Li, DONGXU LI, Anthony Tiong, Junqi Zhao, Weisheng Wang, Boyang Li, Pascale N Fung, and Steven Hoi. 2023 · 2023

Cited alongside, same era.

Code Llama: Open Foundation Models for Code

Original

Wenhan Xiong Grattafiori, Alexandre Défossez, Jade Copet, Faisal Azhar, Hugo Touvron, Louis Martin, Nicolas Usunier, Thomas Scialom, and Gabriel Synnaeve. 2023 · 2023

Cited alongside, same era.

Blip-2: Bootstrapping language-image pre-training with frozen image encoders and large language models. In International conference on machine learning . PMLR, 19730–19742

Junnan Li, Dongxu Li, Silvio Savarese, and Steven Hoi. 2023 · 2023

Cited alongside, same era.

Bridging the Gap: Leveraging Informal Software Architecture Artifacts for Structured Model Creation

Josh Kaplan and Luis Rabelo. 2024 · 2024

Later among the works it cites.

MMCode: Benchmarking Multimodal Large Language Models for Code Generation with Visually Rich Programming Problems

Original

Kaixin Li, Yuchen Tian, Qisheng Hu, Ziyang Luo, Zhiyong Huang, and Jing Ma. 2024 · 2024

Later among the works it cites.

Hello GPT-4o

OpenAI. 2024 · 2024

Later among the works it cites.

Agent planning with world knowledge model

Shuofei Qiao, Runnan Fang, Ningyu Zhang, Yuqi Zhu, Xiang Chen, Shumin Deng, Yong Jiang, Pengjun Xie, Fei Huang, and Huajun Chen. 2024 · 2024

Later among the works it cites.

Image2struct: Benchmarking structure extraction for vision-language models

Josselin Roberts, Tony Lee, Chi Heem Wong, Michihiro Yasunaga, Yifan Mai, and Percy S Liang. 2024 · 2024

Later among the works it cites.