Describe-then-Reason: Improving Multimodal Mathematical Reasoning
through Visual Comprehension Training

Describe-then-Reason: Improving Multimodal Mathematical Reasoning through Visual Comprehension Training

22 April 2024

Meng-Long Jiang

Papers citing "Describe-then-Reason: Improving Multimodal Mathematical Reasoning through Visual Comprehension Training"

8 / 8 papers shown

Title
Vision-Language Models Can Self-Improve Reasoning via Reflection Kanzhi Cheng Yantao Li Fangzhi Xu Jianbing Zhang Hao Zhou Yang Liu ReLM LRM 41 16 0 30 Oct 2024
MultiChartQA: Benchmarking Vision-Language Models on Multi-Chart Problems Zifeng Zhu Mengzhao Jia Z. Zhang Lang Li Meng-Long Jiang LRM 37 3 0 18 Oct 2024
ErrorRadar: Benchmarking Complex Mathematical Reasoning of Multimodal Large Language Models Via Error Detection Yibo Yan Shen Wang Jiahao Huo Hang Li B. Li ... Kun Wang Hui Xiong Philip S. Yu Xuming Hu Qingsong Wen LRM 25 13 0 06 Oct 2024
EAGLE: Elevating Geometric Reasoning through LLM-empowered Visual Instruction Tuning Zhihao Li Yao Du Yang Liu Yan Zhang Yufang Liu M. Zhang Xunliang Cai LRM 26 6 0 21 Aug 2024
Fine-tuning Large Language Models with Sequential Instructions Hanxu Hu Simon Yu Pinzhen Chen E. Ponti ALM LRM 64 15 0 12 Mar 2024
MathGenie: Generating Synthetic Data with Question Back-translation for Enhancing Mathematical Reasoning of LLMs Zimu Lu Aojun Zhou Houxing Ren Ke Wang Weikang Shi Junting Pan Mingjie Zhan Hongsheng Li SyDa LRM 45 42 0 26 Feb 2024
Prismatic VLMs: Investigating the Design Space of Visually-Conditioned Language Models Siddharth Karamcheti Suraj Nair Ashwin Balakrishna Percy Liang Thomas Kollar Dorsa Sadigh MLLM VLM 54 95 0 12 Feb 2024
Distilling Step-by-Step! Outperforming Larger Language Models with Less Training Data and Smaller Model Sizes Lokesh Nagalapatti Chun-Liang Li Chih-Kuan Yeh Hootan Nakhost Yasuhisa Fujii Alexander Ratner Ranjay Krishna Chen-Yu Lee Tomas Pfister ALM 198 283 0 03 May 2023