Investigating the Catastrophic Forgetting in Multimodal Large Language
Models

Investigating the Catastrophic Forgetting in Multimodal Large Language Models

19 September 2023

Shengbang Tong

Qing Qu

Papers citing "Investigating the Catastrophic Forgetting in Multimodal Large Language Models"

9 / 9 papers shown

Title
SEFE: Superficial and Essential Forgetting Eliminator for Multimodal Continual Instruction Tuning Jinpeng Chen Runmin Cong Yuzhi Zhao Hongzheng Yang Guangneng Hu H. Ip Sam Kwong CLL KELM 25 0 0 05 May 2025
Multimodal Large Language Models for Medicine: A Comprehensive Survey Jiarui Ye Hao Tang LM&MA 53 0 0 29 Apr 2025
LLM-Assisted Automated Deductive Coding of Dialogue Data: Leveraging Dialogue-Specific Characteristics to Enhance Contextual Understanding Ying Na Shihui Feng 39 0 0 28 Apr 2025
Look Twice Before You Answer: Memory-Space Visual Retracing for Hallucination Mitigation in Multimodal Large Language Models Xin Zou Yizhou Wang Yibo Yan Yuanhuiyi Lyu Kening Zheng ... Junkai Chen Peijie Jiang J. Liu Chang Tang Xuming Hu 18 0 0 04 Oct 2024
BLIP-2: Bootstrapping Language-Image Pre-training with Frozen Image Encoders and Large Language Models Junnan Li Dongxu Li Silvio Savarese Steven C. H. Hoi VLM MLLM 207 1,899 0 30 Jan 2023
Understanding Imbalanced Semantic Segmentation Through Neural Collapse Zhisheng Zhong Jiequan Cui Yibo Yang Xiaoyang Wu Xiaojuan Qi X. Zhang Jiaya Jia 99 30 0 03 Jan 2023
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 169 608 0 20 Sep 2022
Exploring Deep Neural Networks via Layer-Peeled Model: Minority Collapse in Imbalanced Training Cong Fang Hangfeng He Qi Long Weijie J. Su FAtt 86 117 0 29 Jan 2021
Mixout: Effective Regularization to Finetune Large-scale Pretrained Language Models Cheolhyoung Lee Kyunghyun Cho Wanmo Kang MoE 201 190 0 25 Sep 2019