Octopus introduces history-free gradient orthogonalization in a two-stage finetuning framework to achieve state-of-the-art continual learning results for multimodal LLMs on the UCIT benchmark.
Hierarchical-task-aware multi-modal mix- ture of incremental lora experts for embodied continual learning.arXiv preprint arXiv:2506.04595, 2025
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Octopus: History-Free Gradient Orthogonalization for Continual Learning in Multimodal Large Language Models
Octopus introduces history-free gradient orthogonalization in a two-stage finetuning framework to achieve state-of-the-art continual learning results for multimodal LLMs on the UCIT benchmark.