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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
Zhangyang Gao
Linzhuang Sun
Siyuan Li
Bihui Yu
R. Guo
Stan Z. Li
    LRM
ArXivPDFHTML

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

4 / 4 papers shown
Title
Learn to Explain: Multimodal Reasoning via Thought Chains for Science
  Question Answering
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
207
1,089
0
20 Sep 2022
VQA-MHUG: A Gaze Dataset to Study Multimodal Neural Attention in Visual
  Question Answering
VQA-MHUG: A Gaze Dataset to Study Multimodal Neural Attention in Visual Question Answering
Ekta Sood
Fabian Kögel
Florian Strohm
Prajit Dhar
Andreas Bulling
16
19
0
27 Sep 2021
Co-learning: Learning from Noisy Labels with Self-supervision
Co-learning: Learning from Noisy Labels with Self-supervision
Cheng Tan
Jun-Xiong Xia
Lirong Wu
Stan Z. Li
NoLa
65
114
0
05 Aug 2021
A survey on VQA_Datasets and Approaches
A survey on VQA_Datasets and Approaches
Yeyun Zou
Qiyu Xie
40
18
0
02 May 2021
1