Graph-based interactive knowledge distillation for social relation continual learning

Neurocomputing, Journal Year: 2025, Volume and Issue: unknown, P. 129860 - 129860

Published: March 1, 2025

Language: Английский

A Survey on Multimodal Large Language Models in Radiology for Report Generation and Visual Question Answering

Information, Journal Year: 2025, Volume and Issue: 16(2), P. 136 - 136

Published: Feb. 12, 2025

Large language models (LLMs) and large vision (LVMs) have driven significant advancements in natural processing (NLP) computer (CV), establishing a foundation for multimodal (MLLMs) to integrate diverse data types real-world applications. This survey explores the evolution of MLLMs radiology, focusing on radiology report generation (RRG) visual question answering (RVQA), where leverage combined capabilities LLMs LVMs improve clinical efficiency. We begin by tracing history development MLLMs, followed an overview MLLM applications RRG RVQA, detailing core datasets, evaluation metrics, leading that demonstrate their potential generating reports image-based questions. then discuss challenges face including dataset scarcity, privacy security, issues within such as bias, toxicity, hallucinations, catastrophic forgetting, limitations traditional metrics. Finally, this paper proposes future research directions address these challenges, aiming help AI researchers radiologists overcome obstacles advance study radiology.

Language: Английский

Adversarially Diversified Rehearsal Memory (ADRM): Mitigating Memory Overfitting Challenge in Continual Learning

2022 International Joint Conference on Neural Networks (IJCNN), Journal Year: 2024, Volume and Issue: 32, P. 1 - 8

Published: June 30, 2024

Language: Английский