Investigating the Catastrophic Forgetting in Multimodal ...

Investigating the Catastrophic Forgetting in Multimodal Large ... - arXiv

However, catastrophic forgetting, a notorious phenomenon where the fine-tuned model fails to retain similar performance compared to the pre- ...

Investigating the Catastrophic Forgetting in Multimodal Large...

Following the success of GPT4, there has been a surge in interest in multimodal large language model (MLLM) research.

Investigating the Catastrophic Forgetting in Multimodal Large ...

Investigating the Catastrophic Forgetting in. Multimodal Large Language Models. Yuexiang Zhai1∗, Shengbang Tong2, Xiao Li3, Mu Cai4,. Qing Qu3, Yong Jae Lee4 ...

[PDF] Investigating the Catastrophic Forgetting in Multimodal Large ...

This paper introduces EMT: Evaluating MulTimodality for evaluating the catastrophic forgetting in MLLMs, by treating each MLLM as an image classifier, ...

Investigating the Catastrophic Forgetting in Multimodal Large ... - arXiv

Investigating the Catastrophic Forgetting in. Multimodal Large Language Models. Yuexiang Zhai1∗, Shengbang Tong2, Xiao Li3, Mu Cai4,. Qing Qu3 ...

Investigating the Catastrophic Forgetting in Multimodal ... - arxiv-sanity

Experiments on CoIN demonstrate that current powerful MLLMs still suffer catastrophic forgetting, and the failure in intention alignment assumes the main ...

Forgetting in MLLM Fine-Tuning - Yuexiang Zhai

Investigating the Catastrophic Forgetting in Multimodal Large Language Models ... TLDR Fine-Tuning multimodal large language models (MLLMs) leads to catastrophic ...

[D] LLMs are known for catastrophic forgetting during continual fine ...

89 votes, 22 comments. But how is Chatgpt-4 able to remember all the factual data that it learned? In other words, how can LLMs remember the ...

Model Tailor: Mitigating Catastrophic Forgetting in Multi-modal ...

Catastrophic forgetting emerges as a critical challenge when fine-tuning multi-modal large language models (MLLMs), where improving performance on unseen ...

Continual Learning of Large Language Models: A Comprehensive ...

Investigating the Catastrophic Forgetting in Multimodal Large Language Models (PMLR 2024) [paper]; MiniGPT-4: Enhancing Vision-Language Understanding with ...

Investigating Catastrophic Forgetting During Continual Training for ...

Two simple modiﬁcations to the NMT approach are proposed, namely multi-objective learning and multi-output learning which are based on the “Knowledge ...

Overcoming Catastrophic Forgetting for Multi-Label Class ...

Ablation study of our method under the B0-C20 proto- col on MS-COCO dataset with ResNet101 backbone. KD is the knowledge distillation, which is used together ...

Catastrophic Forgetting In LLMs - Cobus Greyling - Medium

GPT-4 performed better at multi-hop ... An Empirical Study of Catastrophic Forgetting in Large Language Models During Continual Fine-tuning ...

‪Shengbang Tong‬ - ‪Google Scholar‬

Investigating the catastrophic forgetting in multimodal large language models. Y Zhai, S Tong, X Li, M Cai, Q Qu, YJ Lee, Y Ma. CPAL 2024, 2023. 97*, 2023.

EnnengYang/Awesome-Forgetting-in-Deep-Learning - GitHub

Speciality vs Generality: An Empirical Study on Catastrophic Forgetting ... Model Tailor: Mitigating Catastrophic Forgetting in Multi-modal Large Language Models ...

Investigating Catastrophic Forgetting of Deep Learning Models ...

... Multi-Domain Adaptation for. Neural Machine Translation: A Survey,” Journal of Artificial. Intelligence Research, vol. 75, 2022, doi: 10.1613 ...

Generalisable deep Learning framework to overcome catastrophic ...

The critical issue faced by this study was the problem of catastrophic forgetting due to the re-training model with a new dataset. Multi-task learning has also ...

Multi-objective Learning to Overcome Catastrophic Forgetting in ...

At its core, the LOMA model constitutes a base model, which is the neural network topology chosen to learn any of our desired tasks. In this study, the base ...

[Continual Learning Course] Lecture #2: Understanding ... - YouTube

Course Title: "Continual Learning: On Machines that can Learn Continually" Lecture #2: "Understanding Catastrophic Forgetting" Instructor: ...

Overcoming Catastrophic Forgetting in Massively Multilingual ...

(2022) study continual learning in a cross- lingual setting limited to just six languages. The cross-lingual abilities of pre-trained models ...