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Investigating and Enhancing the Robustness of Large Multimodal Models Against Temporal Inconsistency

Investigating and Enhancing the Robustness of Large Multimodal Models Against Temporal Inconsistency

20 May 2025
Jiafeng Liang
Shixin Jiang
Xuan Dong
Ning Wang
Zheng Chu
Hui Su
Jinlan Fu
Ming-Yuan Liu
See-Kiong Ng
Bing Qin
ArXiv (abs)PDFHTML

Papers citing "Investigating and Enhancing the Robustness of Large Multimodal Models Against Temporal Inconsistency"

2 / 2 papers shown
Title
PerturboLLaVA: Reducing Multimodal Hallucinations with Perturbative Visual Training
Cong Chen
Mingyu Liu
Chenchen Jing
Y. Zhou
Fengyun Rao
Hao Chen
Bo Zhang
Chunhua Shen
MLLMAAMLVLM
164
8
0
09 Mar 2025
NaturalBench: Evaluating Vision-Language Models on Natural Adversarial Samples
NaturalBench: Evaluating Vision-Language Models on Natural Adversarial Samples
Baiqi Li
Zhiqiu Lin
Wenxuan Peng
Jean de Dieu Nyandwi
Daniel Jiang
Zixian Ma
Simran Khanuja
Ranjay Krishna
Graham Neubig
Deva Ramanan
AAMLCoGeVLM
296
37
0
18 Oct 2024
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