1 code implementation • 14 Feb 2024 • Zhexiong Liu, Jing Zhang, Jiaying Lu, Wenjing Ma, Joyce C Ho
Logic reasoning has been critically needed in problem-solving and decision-making.
no code implementations • 14 Feb 2024 • Jiaying Lu, Bo Pan, Jieyi Chen, Yingchaojie Feng, Jingyuan Hu, Yuchen Peng, Wei Chen
Recently, Large Language Model based Autonomous system(LLMAS) has gained great popularity for its potential to simulate complicated behaviors of human societies.
no code implementations • 24 Jan 2024 • Darren Liu, Cheng Ding, Delgersuren Bold, Monique Bouvier, Jiaying Lu, Benjamin Shickel, Craig S. Jabaley, Wenhui Zhang, Soojin Park, Michael J. Young, Mark S. Wainwright, Gilles Clermont, Parisa Rashidi, Eric S. Rosenthal, Laurie Dimisko, Ran Xiao, Joo Heung Yoon, Carl Yang, Xiao Hu
Methods: We investigated the performance of three general LLMs in understanding and processing real-world clinical notes.
1 code implementation • 1 Jan 2024 • Guangji Bai, Zheng Chai, Chen Ling, Shiyu Wang, Jiaying Lu, Nan Zhang, Tingwei Shi, Ziyang Yu, Mengdan Zhu, Yifei Zhang, Carl Yang, Yue Cheng, Liang Zhao
We categorize methods based on their optimization focus: computational, memory, energy, financial, and network resources and their applicability across various stages of an LLM's lifecycle, including architecture design, pretraining, finetuning, and system design.
no code implementations • 7 Sep 2023 • Jiaying Lu, Jinmeng Rao, Kezhen Chen, Xiaoyuan Guo, Yawen Zhang, Baochen Sun, Carl Yang, Jie Yang
Large Vision-Language Models (LVLMs) offer remarkable benefits for a variety of vision-language tasks.
no code implementations • 7 Jun 2023 • Hejie Cui, Jiaying Lu, Shiyu Wang, ran Xu, Wenjing Ma, Shaojun Yu, Yue Yu, Xuan Kan, Chen Ling, Tianfan Fu, Liang Zhao, Joyce Ho, Fei Wang, Carl Yang
This work aims to serve as a valuable resource for understanding the potential and opportunities of HKG in health research.
no code implementations • 30 May 2023 • Chen Ling, Xujiang Zhao, Jiaying Lu, Chengyuan Deng, Can Zheng, Junxiang Wang, Tanmoy Chowdhury, Yun Li, Hejie Cui, Xuchao Zhang, Tianjiao Zhao, Amit Panalkar, Dhagash Mehta, Stefano Pasquali, Wei Cheng, Haoyu Wang, Yanchi Liu, Zhengzhang Chen, Haifeng Chen, Chris White, Quanquan Gu, Jian Pei, Carl Yang, Liang Zhao
In this article, we present a comprehensive survey on domain specification techniques for large language models, an emerging direction critical for large language model applications.
no code implementations • 12 Apr 2023 • Jiaying Lu, Jiaming Shen, Bo Xiong, Wenjing Ma, Steffen Staab, Carl Yang
Medical decision-making processes can be enhanced by comprehensive biomedical knowledge bases, which require fusing knowledge graphs constructed from different sources via a uniform index system.
1 code implementation • 6 Feb 2023 • Jiaying Lu, Yongchen Qian, Shifan Zhao, Yuanzhe Xi, Carl Yang
Previous research has demonstrated the advantages of integrating data from multiple sources over traditional unimodal data, leading to the emergence of numerous novel multimodal applications.
1 code implementation • 13 Oct 2022 • Xiangjue Dong, Jiaying Lu, Jianling Wang, James Caverlee
Through experiments, we validate the proposed QG model on both public datasets and a new WikiCQA dataset.
Ranked #2 on Open-Domain Question Answering on ELI5
1 code implementation • 12 Jan 2022 • Hejie Cui, Jiaying Lu, Yao Ge, Carl Yang
Graph neural networks (GNNs), as a group of powerful tools for representation learning on irregular data, have manifested superiority in various downstream tasks.
1 code implementation • 8 Oct 2021 • Jiaying Lu, Xiangjue Dong, Carl Yang
Recent years have witnessed the rapid development of concept map generation techniques due to their advantages in providing well-structured summarization of knowledge from free texts.
1 code implementation • 14 Apr 2021 • Jiaying Lu, Jinho D. Choi
Salience Estimation aims to predict term importance in documents.
no code implementations • 21 Oct 2019 • Jiaying Lu, Xin Ye, Yi Ren, Yezhou Yang
Multiple-choice VQA has drawn increasing attention from researchers and end-users recently.