Decomposing the Neurons: Activation Sparsity via Mixture of Experts for Continual Test Time Adaptation

1 code implementation • 26 May 2024 • Rongyu Zhang, Aosong Cheng, Yulin Luo, Gaole Dai, Huanrui Yang, Jiaming Liu, ran Xu, Li Du, Yuan Du, Yanbing Jiang, Shanghang Zhang

Continual Test-Time Adaptation (CTTA), which aims to adapt the pre-trained model to ever-evolving target domains, emerges as an important task for vision models.

Enabling and Analyzing How to Efficiently Extract Information from Hybrid Long Documents with LLMs

no code implementations • 24 May 2023 • Chongjian Yue, Xinrun Xu, Xiaojun Ma, Lun Du, Hengyu Liu, Zhiming Ding, Yanbing Jiang, Shi Han, Dongmei Zhang

We propose an Automated Financial Information Extraction (AFIE) framework that enhances LLMs' ability to comprehend and extract information from financial reports.

Retrieval