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DocMSU: A Comprehensive Benchmark for Document-level Multimodal Sarcasm
  Understanding

DocMSU: A Comprehensive Benchmark for Document-level Multimodal Sarcasm Understanding

26 December 2023
Hang Du
Gu Nan
Sicheng Zhang
Binzhu Xie
Junrui Xu
Hehe Fan
Qimei Cui
Xiaofeng Tao
Xudong Jiang
ArXiv (abs)PDFHTML

Papers citing "DocMSU: A Comprehensive Benchmark for Document-level Multimodal Sarcasm Understanding"

3 / 3 papers shown
Title
From Learning to Mastery: Achieving Safe and Efficient Real-World Autonomous Driving with Human-In-The-Loop Reinforcement Learning
From Learning to Mastery: Achieving Safe and Efficient Real-World Autonomous Driving with Human-In-The-Loop Reinforcement Learning
Li Zeqiao
Wang Yijing
Wang Haoyu
Li Zheng
Li Peng
Liu Wenfei
Zuo zhiqiang
64
0
0
07 Oct 2025
From Easy to Hard: The MIR Benchmark for Progressive Interleaved Multi-Image Reasoning
From Easy to Hard: The MIR Benchmark for Progressive Interleaved Multi-Image Reasoning
Hang Du
Jiayang Zhang
Guoshun Nan
Wendi Deng
Zhenyan Chen
...
Wang Xiao
Shan Huang
Yuqi Pan
Tao Qi
Sicong Leng
VLM
36
0
0
21 Sep 2025
Seeing Sarcasm Through Different Eyes: Analyzing Multimodal Sarcasm Perception in Large Vision-Language Models
Seeing Sarcasm Through Different Eyes: Analyzing Multimodal Sarcasm Perception in Large Vision-Language ModelsIEEE Transactions on Computational Social Systems (IEEE TCSS), 2025
Junjie Chen
Xuyang Liu
Subin Huang
Linfeng Zhang
Hang Yu
254
1
0
15 Mar 2025
1