Work

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

Year: 2025

Type: conference-paper

Abstract: Jiafeng Liang, Shixin Jiang, Xuan Dong, Ning Wang, Zheng Chu, Hui Su, Jinlan Fu, Ming Liu, See-Kiong Ng, Bing Qin. Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers). 2025.

Source: Annual Meeting of the Association for Computational Linguistics (ACL)

DOI: 10.18653/v1/2025.acl-long.692

Authors: Jiafeng Liang, Shixin Jiang, Xuan Dong, Ning Wang, Zheng Chu, Hui Su, Jinlan Fu, Ming Liu, See-Kiong Ng, Bing Qin

Institutions: Harbin Institute of Technology, Meituan (China), National University of Singapore, Peng Cheng Laboratory

Language: English

Topic: Multimodal Machine Learning Applications

Subfield: Computer Vision and Pattern Recognition

Field: Computer Science

Domain: Physical Sciences

Open Access status: hybrid

Funders: Cisco Systems, National University of Singapore, National Natural Science Foundation of China

Awards: G4442529403, G6574276969, G700280992

OpenAlex ID: W4412945369

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