The forecasting of sales data is a widely studied issue in the fields of artificial intelligence and time series forecasting. TCN (Temporal Convolutional Network) is the most adept at managing time series data among a...
详细信息
Large Multimodal Models (LMMs) have achieved great success recently, demonstrating a strong capability to understand multimodal information and to interact with human users. Despite the progress made, the challenge of...
详细信息
In recent years, natural language processing (NLP) has achieved notable advancements, particularly with large language models (LLMs) enhancing tasks such as sentiment analysis. Aspect-based sentiment analysis (ABSA), ...
详细信息
Volatility prediction of the stock market has been a hot topic in economics and finance. However, it is challenging to forecast the volatility accurately due to the complex and dynamic nature of the stock market. It i...
详细信息
In response to the escalating frequency and complexity of Distributed Denial of Service attacks, safeguarding network infrastructures has become an imperative challenge. This paper introduces an innovative solution fo...
详细信息
Student advisory services at universities face a high volume of repetitive inquiries, which can be time-consuming and labor-intensive to address. In this paper, we explore the potential of chatbots to provide personal...
详细信息
Stocks play a vital role in the economy and serve as an indicator of business value and investor sentiment. To leverage improved decision-making aligned with investment strategies and market trends, real-time stock pr...
详细信息
While quantum computers have attracted much attention, dealing with computational errors due to noise effects caused by the interaction between quantum hardware and the external environment is a significant challenge....
详细信息
Large Language Models (LLMs) excel at a range of tasks but often struggle with issues like hallucination and inadequate empathy support. To address hallucinations, we ground our dialogues in medical knowledge sourced ...
详细信息
暂无评论