9 citations · 9 across the 2 of their papers we have counts for
2 papers
cs.AI2024
TS-HTFA: Advancing Time Series Forecasting via Hierarchical Text-Free Alignment with Large Language Models
Pengfei Wang, Huanran Zheng, Qi'ao Xu +6
Given the significant potential of large language models (LLMs) in sequence modeling, emerging studies have begun applying them to time-series forecasting. Despite notable progress…
cs.CL2024★ 9 cited
TCMBench: A Comprehensive Benchmark for Evaluating Large Language Models in Traditional Chinese Medicine
Wenjing Yue, Xiaoling Wang, Wei Zhu +5
Large language models (LLMs) have performed remarkably well in various natural language processing tasks by benchmarking, including in the Western medical domain. However, the prof…