Search Results for author: Sihang Jiang

Found 8 papers, 1 papers with code

Enhancing Quantitative Reasoning Skills of Large Language Models through Dimension Perception

no code implementations29 Dec 2023 Yuncheng Huang, Qianyu He, Jiaqing Liang, Sihang Jiang, Yanghua Xiao, Yunwen Chen

Hence, we present a framework to enhance the quantitative reasoning ability of language models based on dimension perception.

GANTEE: Generative Adversatial Network for Taxonomy Entering Evaluation

no code implementations25 Mar 2023 Zhouhong Gu, Sihang Jiang, Jingping Liu, Yanghua Xiao, Hongwei Feng, Zhixu Li, Jiaqing Liang, Jian Zhong

The previous methods suffer from low-efficiency since they waste much time when most of the new coming concepts are indeed noisy concepts.

Generative Adversarial Network Taxonomy Expansion

Vital Measurements of Hospitalized COVID-19 Patients as a Predictor of Long COVID: An EHR-based Cohort Study from the RECOVER Program in N3C

no code implementations15 Nov 2022 Sihang Jiang, Johanna Loomba, Suchetha Sharma, Donald Brown

It is shown that various symptoms could remain in the stage of post-acute sequelae of SARS-CoV-2 infection (PASC), otherwise known as Long COVID.

Rule Mining over Knowledge Graphs via Reinforcement Learning

no code implementations21 Feb 2022 Lihan Chen, Sihang Jiang, Jingping Liu, Chao Wang, Sheng Zhang, Chenhao Xie, Jiaqing Liang, Yanghua Xiao, Rui Song

Knowledge graphs (KGs) are an important source repository for a wide range of applications and rule mining from KGs recently attracts wide research interest in the KG-related research community.

Knowledge Graphs reinforcement-learning +1

Transfer Learning for Sequences via Learning to Collocate

no code implementations ICLR 2019 Wanyun Cui, Guangyu Zheng, Zhiqiang Shen, Sihang Jiang, Wei Wang

Transfer learning aims to solve the data sparsity for a target domain by applying information of the source domain.


Cannot find the paper you are looking for? You can Submit a new open access paper.