24 citations · 40 across the 11 of their papers we have counts for
Showing 2023Show all
3 papers · 1 filter
cs.CL2023★ 24 cited
Large Language Models for Generative Information Extraction: A Survey
Derong Xu, Wei Chen, Wenjun Peng +7
Information extraction (IE) aims to extract structural knowledge from plain natural language texts. Recently, generative Large Language Models (LLMs) have demonstrated remarkable c…
cs.LG2023
Enhancing Traffic Prediction with Learnable Filter Module
Yuanshao Zhu, Yongchao Ye, Xiangyu Zhao +1
Modeling future traffic conditions often relies heavily on complex spatial-temporal neural networks to capture spatial and temporal correlations, which can overlook the inherent no…
cs.CL2023★ 5 cited
When MOE Meets LLMs: Parameter Efficient Fine-tuning for Multi-task Medical Applications
Qidong Liu, Xian Wu, Xiangyu Zhao +4
The recent surge in Large Language Models (LLMs) has garnered significant attention across numerous fields. Fine-tuning is often required to fit general LLMs for a specific domain,…