As automation advances in manufacturing, the demand for precise and sophisticated defect
detection technologies grows. Existing vision models for defect recognition methods are …

This paper explores the integration of strategic optimization methods in search advertising,
focusing on ad ranking and bidding mechanisms within E-commerce platforms. By …

This study explores the application of deep learning-based natural language processing
technologies in multilingual sentiment analysis. By examining the performance of deep …

Referring expression comprehension (REC) is a vision-language task to locate a target
object in an image based on a language expression. Fully fine-tuning general-purpose pre …

This paper explores an automatic news generation and fact-checking system based on
language processing, aimed at enhancing the efficiency and quality of news production …

This paper investigates and discusses the applications of explainable AI in natural language
processing. It first analyzes the importance and current state of AI in natural language …

Image-guided Story Ending Generation aims at generating a reasonable and logical ending
given a story context and an ending-related image. The existing models have achieved …

This study explores optimization strategies for self-supervised learning in the use of
unlabeled data. By deeply analyzing existing research, we propose a novel method that …

This paper delves into the integration of machine learning and quantum computing,
highlighting the potential of quantum computing to enhance the performance and …

Due to the success of the pre-trained language model (PLM), existing PLM-based
summarization models show their powerful generative capability. However, these models …