AWARe: Mitigating Catastrophic Forgetting via Activation-Weighted Adaptive REtention
英文标题:AWARe: Mitigating Catastrophic Forgetting via Activation-Weighted Adaptive REtention
arXiv:2608.11758v1 Announce Type: new Abstract: Multimodal Large Language Models (MLLMs) exhibit strong generalization and reasoning abilities due to large-scale multimodal pre-training. However, fine-tuning these models on downstream tasks often leads to catastrophic forgetting, where newly learne
打开原文相关 4 · 机会 0
640 B
612 B
380 B
9.1 KB
32.7 KB
22.8 KB
24.2 KB
34.7 KB
中文
arXiv:2608.11758v1 Announce Type: new Abstract: Multimodal Large Language Models (MLLMs) exhibit strong generalization and reasoning abilities due to large-scale multimodal pre-training. However, fine-tuning these models on downstream tasks often leads to catastrophic forgetting, where newly learne
中文全文翻译正在补齐,可先查看下方英文原文。
English / 原文
BibTeX formatted citation
×