5 papers
FT-MDT: Extracting Decision Trees from Medical Texts via a Novel Low-rank Adaptation Method
Yuheng Li, Jiechao Gao, Wei Han +3
Knowledge of the medical decision process, which can be modeled as medical decision trees (MDTs), is critical to building clinical decision support systems. However, current MDT co…
AMAS: Adaptively Determining Communication Topology for LLM-based Multi-Agent System
Hui Yi Leong, Yuheng Li, Yuqing Wu +4
Although large language models (LLMs) have revolutionized natural language processing capabilities, their practical implementation as autonomous multi-agent systems (MAS) for indus…
Adapting Large Language Models for Time Series Modeling via a Novel Parameter-efficient Adaptation Method
Juyuan Zhang, Wei Zhu, Jiechao Gao
Time series modeling holds significant importance in many real-world applications and has been extensively studied. While pre-trained foundation models have made impressive strides…
Learning Novel Transformer Architecture for Time-series Forecasting
Juyuan Zhang, Wei Zhu, Jiechao Gao
Despite the success of Transformer-based models in the time-series prediction (TSP) tasks, the existing Transformer architecture still face limitations and the literature lacks com…
DRUM: Learning Demonstration Retriever for Large MUlti-modal Models
Ellen Yi-Ge, Jiechao Gao, Wei Han +1
Recently, large language models (LLMs) have demonstrated impressive capabilities in dealing with new tasks with the help of in-context learning (ICL). In the study of Large Vision-…