Mitigating Knowledge Conflicts in Language Model-Driven Question Answering
Knowledge-aware sequence to sequence generation tasks such as document question
answering and abstract summarization typically requires two types of knowledge: encoded …
answering and abstract summarization typically requires two types of knowledge: encoded …
Applications of Large Language Models in Multimodal Learning
In this paper, we provide a systematic review of the emerging field on applications for Large
Language Models (LLMs) in multimodal learning, especially how such methodologies help …
Language Models (LLMs) in multimodal learning, especially how such methodologies help …
Developing Cryptocurrency Trading Strategy Based on Autoencoder-CNN-GANs Algorithms
Z Hu, R Yu, Z Zhang, H Zheng, Q Liu… - arXiv preprint arXiv …, 2024 - arxiv.org
This paper leverages machine learning algorithms to forecast and analyze financial time
series. The process begins with a denoising autoencoder to filter out random noise …
series. The process begins with a denoising autoencoder to filter out random noise …
[PDF][PDF] Low-Carbon Power Technology Innovation: Addressing Environmental Protection, Land Use, and Community Rights
D Luo - 2024 - preprints.org
The rapid advancement of low-carbon technologies, such as wind and nuclear power,
introduces critical ethical challenges, including conflicts between environmental protection …
introduces critical ethical challenges, including conflicts between environmental protection …
A Comprehensive Review of Reinforcement Learning in Intelligent Allocation and Optimization of Educational Resources
Z Zhao - Journal of Economic Theory and Business …, 2024 - suaspress.org
Educational resource imbalances pose considerable barriers to accomplishing equitable
opportunities to learn worldwide. Traditional approaches to resource allocation frequently …
opportunities to learn worldwide. Traditional approaches to resource allocation frequently …
Overview of Multimodal Generative Models in Natural Language Processing and Computer Vision
L Li - Journal of Computer Technology and Applied …, 2024 - suaspress.org
Multimodal generative models have become essential in the deep learning renaissance, as
they provide unparalleled flexibility over a diverse context of applications within Natural …
they provide unparalleled flexibility over a diverse context of applications within Natural …