Enhancing Human-like Multi-Modal Reasoning: A New Challenging Dataset
and Comprehensive Framework

Enhancing Human-like Multi-Modal Reasoning: A New Challenging Dataset and Comprehensive Framework

24 July 2023

Jingxuan Wei

Cheng Tan

Linzhuang Sun

Siyuan Li

Stan Z. Li

Papers citing "Enhancing Human-like Multi-Modal Reasoning: A New Challenging Dataset and Comprehensive Framework"

5 / 5 papers shown

Title
Position: Multimodal Large Language Models Can Significantly Advance Scientific Reasoning Yibo Yan Shen Wang Jiahao Huo Jingheng Ye Zhendong Chu Xuming Hu Philip S. Yu Carla P. Gomes B. Selman Qingsong Wen LRM 127 9 0 05 Feb 2025
Learn to Explain: Multimodal Reasoning via Thought Chains for Science Question Answering Pan Lu Swaroop Mishra Tony Xia Liang Qiu Kai-Wei Chang Song-Chun Zhu Oyvind Tafjord Peter Clark A. Kalyan ELM ReLM LRM 211 1,105 0 20 Sep 2022
VQA-MHUG: A Gaze Dataset to Study Multimodal Neural Attention in Visual Question Answering Ekta Sood Fabian Kögel Florian Strohm Prajit Dhar Andreas Bulling 40 19 0 27 Sep 2021
Co-learning: Learning from Noisy Labels with Self-supervision Cheng Tan Jun-Xiong Xia Lirong Wu Stan Z. Li NoLa 73 116 0 05 Aug 2021
A survey on VQA_Datasets and Approaches Yeyun Zou Qiyu Xie 40 18 0 02 May 2021