4 citations · 12 across the 12 of their papers we have counts for
12 papers
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…
Text2MDT: Extracting Medical Decision Trees from Medical Texts
Wei Zhu, Wenfeng Li, Xing Tian +6
Knowledge of the medical decision process, which can be modeled as medical decision trees (MDTs), is critical to build clinical decision support systems. However, the current MDT c…
Efficient Multi-domain Text Recognition Deep Neural Network Parameterization with Residual Adapters
Jiayou Chao, Wei Zhu
Recent advancements in deep neural networks have markedly enhanced the performance of computer vision tasks, yet the specialized nature of these networks often necessitates extensi…
Overview of the PromptCBLUE Shared Task in CHIP2023
Wei Zhu, Xiaoling Wang, Mosha Chen +1
This paper presents an overview of the PromptCBLUE shared task (http://cips-chip.org.cn/2023/eval1) held in the CHIP-2023 Conference. This shared task reformualtes the CBLUE benchm…
PromptCBLUE: A Chinese Prompt Tuning Benchmark for the Medical Domain
Wei Zhu, Xiaoling Wang, Huanran Zheng +2
Biomedical language understanding benchmarks are the driving forces for artificial intelligence applications with large language model (LLM) back-ends. However, most current benchm…
F-PABEE: Flexible-patience-based Early Exiting for Single-label and Multi-label text Classification Tasks
Xiangxiang Gao, Wei Zhu, Jiasheng Gao +1
Computational complexity and overthinking problems have become the bottlenecks for pre-training language models (PLMs) with millions or even trillions of parameters. A Flexible-Pat…