Multimodal Learning Framework

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תובנה - Multimodal Learning Framework

Octavius: Mitigating Task Interference in Multimodal Large Language Models via LoRA-MoE

Addressing task interference in multimodal learning with a novel framework, Octavius, integrating LoRA-MoE.

PathM3: Multimodal Multi-Task Learning for Histopathology Image Analysis

PathM3 introduces a multimodal, multi-task, multiple instance learning framework for whole slide image classification and captioning in histopathology.

DREAMLLM: Synergistic Multimodal Comprehension and Creation at ICLR 2024

DREAMLLM introduces a learning framework that enhances multimodal comprehension and creation, showcasing superior performance in zero-shot tasks.

Octavius: Mitigating Task Interference in Multimodal Large Language Models via LoRA-MoE

提案されたOctaviusフレームワークは、LoRA-MoEを活用して、複雑な学習シナリオにおけるタスク干渉の重要な課題に効果的に対処します。

DREAMLLM: Synergistic Multimodal Comprehension and Creation at ICLR 2024

DREAMLLM is a versatile learning framework that enables the comprehension and creation of multimodal content through synergistic modeling.

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