Visual Large Language Models for Generalized and Specialized Applications
원문 초록
Visual-language models (VLM) have emerged as a powerful tool for learning a unified embedding space for vision and language. Inspired by large language models, which have demonstrated strong reasoning and multi-task capabilities, visual large language models (VLLMs) are gaining increasing attention for building general-purpose VLMs. Despite the significant progress made in VLLMs, the related literature remains limited, particularly from a comprehensive application perspective, encompassing generalized and specialized applications across vision (image, video, depth), action, and language modalities. In this survey, we focus on the diverse applications of VLLMs, examining their using scenarios, identifying ethics consideration and challenges, and discussing future directions for their development. By synthesizing these contents, we aim to provide a comprehensive guide that will pave the way for future innovations and broader applications of VLLMs. The paper list repository is available: https://github.com/JackYFL/awesome-VLLMs.
함께 살펴볼 논문
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When Ethics and Payoffs Diverge: LLM Agents in Morally Charged Social Dilemmas
HumaniBench: A Human-Centric Framework for Large Multimodal Models Evaluation
Achieving Distributive Justice in Federated Learning via Uncertainty Quantification
Surveying Professional Writers on AI: Limitations, Expectations, and Fears
Analyzing the Safety of Japanese Large Language Models in Stereotype-Triggering Prompts
Toward Robust Non-Transferable Learning: A Survey and Benchmark
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