Search Results for author: Sihang Zeng

Found 7 papers, 5 papers with code

UltraMedical: Building Specialized Generalists in Biomedicine

1 code implementation6 Jun 2024 Kaiyan Zhang, Sihang Zeng, Ermo Hua, Ning Ding, Zhang-Ren Chen, Zhiyuan Ma, Haoxin Li, Ganqu Cui, Biqing Qi, Xuekai Zhu, Xingtai Lv, Hu Jinfang, Zhiyuan Liu, BoWen Zhou

Large Language Models (LLMs) have demonstrated remarkable capabilities across various domains and are moving towards more specialized areas.

CoRTEx: Contrastive Learning for Representing Terms via Explanations with Applications on Constructing Biomedical Knowledge Graphs

1 code implementation13 Dec 2023 Huaiyuan Ying, Zhengyun Zhao, Yang Zhao, Sihang Zeng, Sheng Yu

Due to a lack of knowledge, previous contrastive learning models trained with Unified Medical Language System (UMLS) synonyms struggle at clustering difficult terms and do not generalize well beyond UMLS terms.

Clustering Contrastive Learning +2

Large Language Models are Zero Shot Hypothesis Proposers

1 code implementation10 Nov 2023 Biqing Qi, Kaiyan Zhang, Haoxiang Li, Kai Tian, Sihang Zeng, Zhang-Ren Chen, BoWen Zhou

We subsequently evaluate the hypothesis generation capabilities of various top-tier instructed models in zero-shot, few-shot, and fine-tuning settings, including both closed and open-source LLMs.

scientific discovery

Hierarchical Pretraining for Biomedical Term Embeddings

no code implementations1 Jul 2023 Bryan Cai, Sihang Zeng, Yucong Lin, Zheng Yuan, Doudou Zhou, Lu Tian

Electronic health records (EHR) contain narrative notes that provide extensive details on the medical condition and management of patients.

Decision Making Knowledge Graphs +3

BIOS: An Algorithmically Generated Biomedical Knowledge Graph

no code implementations18 Mar 2022 Sheng Yu, Zheng Yuan, Jun Xia, Shengxuan Luo, Huaiyuan Ying, Sihang Zeng, Jingyi Ren, Hongyi Yuan, Zhengyun Zhao, Yucong Lin, Keming Lu, Jing Wang, Yutao Xie, Heung-Yeung Shum

For decades, these knowledge graphs have been developed via expert curation; however, this method can no longer keep up with today's AI development, and a transition to algorithmically generated BioMedKGs is necessary.

BIG-bench Machine Learning Knowledge Graphs +3

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