Search Results for author:
Found 4 papers, 1 papers with code
Research on the Online Update Method for Retrieval-Augmented Generation (RAG) Model with Incremental Learning
In the contemporary context of rapid advancements in information technology and the exponential growth of data volume, language models are confronted with significant challenges in effectively navigating the dynamic and ever-evolving information landscape to update and adapt to novel knowledge in real time.
Research on Financial Multi-Asset Portfolio Risk Prediction Model Based on Convolutional Neural Networks and Image Processing
In today's complex and volatile financial market environment, risk management of multi-asset portfolios faces significant challenges.
Research on Optimizing Real-Time Data Processing in High-Frequency Trading Algorithms using Machine Learning
High-frequency trading (HFT) represents a pivotal and intensely competitive domain within the financial markets.
A New Approach to Solving SMAC Task: Generating Decision Tree Code from Large Language Models
StarCraft Multi-Agent Challenge (SMAC) is one of the most commonly used experimental environments in multi-agent reinforcement learning (MARL), where the specific task is to control a set number of allied units to defeat enemy forces.
