2 papers
cs.LG2026
Logo-LLM: Local and Global Modeling with Large Language Models for Time Series Forecasting
Wenjie Ou, Zhishuo Zhao, Cheng Chen +2
Time series forecasting is critical across multiple domains, where time series data exhibit both local patterns and global dependencies. While Transformer-based methods effectively…
cs.LG2024
DR-RAG: Applying Dynamic Document Relevance to Retrieval-Augmented Generation for Question-Answering
Zijian Hei, Weiling Liu, Wenjie Ou +5
Retrieval-Augmented Generation (RAG) has recently demonstrated the performance of Large Language Models (LLMs) in the knowledge-intensive tasks such as Question-Answering (QA). RAG…