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Qiao Jin 0001
Person information
- affiliation: Tsinghua University, School of Medicine, Beijing, China
- affiliation (2017 - 2019): University of Pittsburgh, Department of Biomedical Informatics, Pittsburgh, PA, USA
Other persons with the same name
- Qiao Jin — disambiguation page
- Qiao Jin 0002
(aka: Georgie Qiao Jin) — University of Minnesota, Department of Computer Science and Engineering, Minneapolis, MN, USA (and 2 more)
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2020 – today
- 2024
- [j6]Qiao Jin
GeneGPT: augmenting large language models with domain tools for improved access to biomedical information. Bioinform. 40(2) (2024) - [j5]Gongbo Zhang
Leveraging generative AI for clinical evidence synthesis needs to ensure trustworthiness. J. Biomed. Informatics 153: 104640 (2024) - [j4]Qiao Jin
Hidden flaws behind expert-level accuracy of multimodal GPT-4 vision in medicine. npj Digit. Medicine 7(1) (2024) - [j3]Gongbo Zhang, Qiao Jin
Closing the gap between open source and commercial large language models for medical evidence summarization. npj Digit. Medicine 7(1) (2024) - [c14]Guangzhi Xiong, Qiao Jin, Zhiyong Lu, Aidong Zhang:
Benchmarking Retrieval-Augmented Generation for Medicine. ACL (Findings) 2024: 6233-6251 - [c13]Qingqing Zhu, Xiuying Chen, Qiao Jin, Benjamin Hou, Tejas Sudharshan Mathai, Pritam Mukherjee, Xin Gao, Ronald M. Summers, Zhiyong Lu:
Leveraging Professional Radiologists' Expertise to Enhance LLMs' Evaluation for AI-generated Radiology Reports. ICHI 2024: 402-411 - [i36]Qiao Jin, Fangyuan Chen, Yiliang Zhou, Ziyang Xu, Justin M. Cheung, Robert Chen, Ronald M. Summers, Justin F. Rousseau, Peiyun Ni, Marc J. Landsman
Hidden Flaws Behind Expert-Level Accuracy of GPT-4 Vision in Medicine. CoRR abs/2401.08396 (2024) - [i35]Chih-Hsuan Wei, Alexis Allot, Po-Ting Lai, Robert Leaman, Shubo Tian, Ling Luo, Qiao Jin, Zhizheng Wang, Qingyu Chen, Zhiyong Lu:
PubTator 3.0: an AI-powered Literature Resource for Unlocking Biomedical Knowledge. CoRR abs/2401.11048 (2024) - [i34]Yifan Yang, Xiaoyu Liu, Qiao Jin, Furong Huang, Zhiyong Lu:
Unmasking and Quantifying Racial Bias of Large Language Models in Medical Report Generation. CoRR abs/2401.13867 (2024) - [i33]Qingqing Zhu, Xiuying Chen, Qiao Jin, Benjamin Hou, Tejas Sudharshan Mathai, Pritam Mukherjee, Xin Gao, Ronald M. Summers, Zhiyong Lu:
Leveraging Professional Radiologists' Expertise to Enhance LLMs' Evaluation for Radiology Reports. CoRR abs/2401.16578 (2024) - [i32]Zhe He, Balu Bhasuran, Qiao Jin, Shubo Tian, Karim Hanna, Cindy Shavor, Lisbeth Y. Garcia Arguello, Patrick Murray, Zhiyong Lu:
Quality of Answers of Generative Large Language Models vs Peer Patients for Interpreting Lab Test Results for Lay Patients: Evaluation Study. CoRR abs/2402.01693 (2024) - [i31]Ashley Shin, Qiao Jin, James T. Anibal, Zhiyong Lu:
Harnessing PubMed User Query Logs for Post Hoc Explanations of Recommended Similar Articles. CoRR abs/2402.03484 (2024) - [i30]Xiangru Tang, Qiao Jin, Kunlun Zhu, Tongxin Yuan, Yichi Zhang, Wangchunshu Zhou, Meng Qu, Yilun Zhao, Jian Tang, Zhuosheng Zhang, Arman Cohan, Zhiyong Lu, Mark Gerstein:
Prioritizing Safeguarding Over Autonomy: Risks of LLM Agents for Science. CoRR abs/2402.04247 (2024) - [i29]Guangzhi Xiong, Qiao Jin, Zhiyong Lu, Aidong Zhang:
Benchmarking Retrieval-Augmented Generation for Medicine. CoRR abs/2402.13178 (2024) - [i28]Qiao Jin, Zhizheng Wang, Yifan Yang, Qingqing Zhu, Donald Wright, Thomas Huang, W. John Wilbur, Zhe He, Andrew Taylor, Qingyu Chen, Zhiyong Lu:
AgentMD: Empowering Language Agents for Risk Prediction with Large-Scale Clinical Tool Learning. CoRR abs/2402.13225 (2024) - [i27]Qingqing Zhu, Benjamin Hou, Tejas Sudharshan Mathai, Pritam Mukherjee, Qiao Jin, Xiuying Chen, Zhizheng Wang, Ruida Cheng, Ronald M. Summers, Zhiyong Lu:
Decomposing Vision-based LLM Predictions for Auto-Evaluation with GPT-4. CoRR abs/2403.05680 (2024) - [i26]Zhizheng Wang, Qiao Jin, Chih-Hsuan Wei, Shubo Tian, Po-Ting Lai, Qingqing Zhu, Chi-Ping Day, Christina Ross, Zhiyong Lu:
GeneAgent: Self-verification Language Agent for Gene Set Knowledge Discovery using Domain Databases. CoRR abs/2405.16205 (2024) - [i25]Benjamin Hou, Qingqing Zhu, Tejas Sudarshan Mathai, Qiao Jin, Zhiyong Lu, Ronald M. Summers:
Shadow and Light: Digitally Reconstructed Radiographs for Disease Classification. CoRR abs/2406.03688 (2024) - [i24]Nikhil Khandekar, Qiao Jin, Guangzhi Xiong, Soren Dunn, Serina S. Applebaum, Zain Anwar, Maame Sarfo-Gyamfi, Conrad W. Safranek, Abid A Anwar, Andrew Zhang, Aidan Gilson, Maxwell B. Singer, Amisha D. Dave, Andrew Taylor, Aidong Zhang, Qingyu Chen, Zhiyong Lu:
MedCalc-Bench: Evaluating Large Language Models for Medical Calculations. CoRR abs/2406.12036 (2024) - [i23]Yifan Yang, Qiao Jin, Furong Huang, Zhiyong Lu:
Adversarial Attacks on Large Language Models in Medicine. CoRR abs/2406.12259 (2024) - [i22]Zifeng Wang, Lang Cao, Benjamin P. Danek, Yichi Zhang, Qiao Jin, Zhiyong Lu, Jimeng Sun:
Accelerating Clinical Evidence Synthesis with Large Language Models. CoRR abs/2406.17755 (2024) - [i21]Gongbo Zhang, Qiao Jin, Yiliang Zhou, Song Wang, Betina Ross S. Idnay, Yiming Luo, Elizabeth Park, Jordan G. Nestor, Matthew E. Spotnitz, Ali Soroush, Thomas Campion, Zhiyong Lu, Chunhua Weng, Yifan Peng:
Closing the gap between open-source and commercial large language models for medical evidence summarization. CoRR abs/2408.00588 (2024) - [i20]Guangzhi Xiong, Qiao Jin, Xiao Wang, Minjia Zhang, Zhiyong Lu, Aidong Zhang:
Improving Retrieval-Augmented Generation in Medicine with Iterative Follow-up Questions. CoRR abs/2408.00727 (2024) - [i19]Aidan Gilson, Xuguang Ai, Thilaka Arunachalam, Ziyou Chen, Ki Xiong Cheong, Amisha D. Dave, Cameron Duic, Mercy Kibe, Annette Kaminaka, Minali Prasad, Fares Siddig, Maxwell B. Singer, Wendy Wong, Qiao Jin, Tiarnan D. L. Keenan, Xia Hu, Emily Y. Chew, Zhiyong Lu, Hua Xu, Ron A. Adelman, Yih-Chung Tham, Qingyu Chen:
Enhancing Large Language Models with Domain-specific Retrieval Augment Generation: A Case Study on Long-form Consumer Health Question Answering in Ophthalmology. CoRR abs/2409.13902 (2024) - [i18]Yifan Yang, Qiao Jin, Qingqing Zhu, Zhizheng Wang, Francisco Erramuspe Álvarez, Nicholas Wan, Benjamin Hou, Zhiyong Lu:
Beyond Multiple-Choice Accuracy: Real-World Challenges of Implementing Large Language Models in Healthcare. CoRR abs/2410.18460 (2024) - [i17]Qiao Jin, Nicholas Wan, Robert Leaman, Shubo Tian, Zhizheng Wang, Yifan Yang, Zifeng Wang, Guangzhi Xiong, Po-Ting Lai, Qingqing Zhu, Benjamin Hou, Maame Sarfo-Gyamfi, Gongbo Zhang, Aidan Gilson, Balu Bhasuran, Zhe He, Aidong Zhang, Jimeng Sun, Chunhua Weng, Ronald M. Summers, Qingyu Chen, Yifan Peng, Zhiyong Lu:
Demystifying Large Language Models for Medicine: A Primer. CoRR abs/2410.18856 (2024) - 2023
- [j2]Qiao Jin
MedCPT: Contrastive Pre-trained Transformers with large-scale PubMed search logs for zero-shot biomedical information retrieval. Bioinform. 39(10) (2023) - [j1]Qiao Jin
Biomedical Question Answering: A Survey of Approaches and Challenges. ACM Comput. Surv. 55(2): 35:1-35:36 (2023) - [c12]Ashley Shin, Qiao Jin, Zhiyong Lu:
Multi-stage Literature Retrieval System Trained by PubMed Search Logs for Biomedical Question Answering. CLEF (Working Notes) 2023: 178-189 - [c11]Zheng Yuan, Qiao Jin, Chuanqi Tan, Zhengyun Zhao, Hongyi Yuan, Fei Huang, Songfang Huang:
RAMM: Retrieval-augmented Biomedical Visual Question Answering with Multi-modal Pre-training. ACM Multimedia 2023: 547-556 - [c10]Qiao Jin
LADER: Log-Augmented DEnse Retrieval for Biomedical Literature Search. SIGIR 2023: 2092-2097 - [i16]Zheng Yuan, Qiao Jin
RAMM: Retrieval-augmented Biomedical Visual Question Answering with Multi-modal Pre-training. CoRR abs/2303.00534 (2023) - [i15]Qiao Jin
LADER: Log-Augmented DEnse Retrieval for Biomedical Literature Search. CoRR abs/2304.04590 (2023) - [i14]Qiao Jin
GeneGPT: Augmenting Large Language Models with Domain Tools for Improved Access to Biomedical Information. CoRR abs/2304.09667 (2023) - [i13]Shubo Tian, Qiao Jin
Opportunities and Challenges for ChatGPT and Large Language Models in Biomedicine and Health. CoRR abs/2306.10070 (2023) - [i12]Qiao Jin
BioCPT: Contrastive Pre-trained Transformers with Large-scale PubMed Search Logs for Zero-shot Biomedical Information Retrieval. CoRR abs/2307.00589 (2023) - [i11]Qiao Jin
PubMed and Beyond: Recent Advances and Best Practices in Biomedical Literature Search. CoRR abs/2307.09683 (2023) - [i10]Qiao Jin, Zifeng Wang, Charalampos S. Floudas, Jimeng Sun, Zhiyong Lu:
Matching Patients to Clinical Trials with Large Language Models. CoRR abs/2307.15051 (2023) - [i9]Gongbo Zhang, Qiao Jin
Leveraging Generative AI for Clinical Evidence Summarization Needs to Achieve Trustworthiness. CoRR abs/2311.11211 (2023) - 2022
- [i8]Zhengyun Zhao, Qiao Jin, Sheng Yu:
PMC-Patients: A Large-scale Dataset of Patient Notes and Relations Extracted from Case Reports in PubMed Central. CoRR abs/2202.13876 (2022) - 2021
- [c9]Dejie Chang, Mosha Chen, Chaozhen Liu, Liping Liu, Dongdong Li, Wei Li, Fei Kong, Bangchang Liu, Xiaobin Luo, Ji Qi, Qiao Jin, Bin Xu:
DiaKG: An Annotated Diabetes Dataset for Medical Knowledge Graph Construction. CCKS 2021: 308-314 - [c8]Qiao Jin, Chuanqi Tan, Zhengyun Zhao, Zheng Yuan, Songfang Huang:
Alibaba DAMO Academy at TREC Clinical Trials 2021: ExploringEmbedding-based First-stage Retrieval with TrialMatcher. TREC 2021 - [i7]Qiao Jin, Zheng Yuan
Biomedical Question Answering: A Comprehensive Review. CoRR abs/2102.05281 (2021) - [i6]Dejie Chang, Mosha Chen, Chaozhen Liu, Liping Liu, Dongdong Li, Wei Li, Fei Kong, Bangchang Liu, Xiaobin Luo, Ji Qi, Qiao Jin, Bin Xu:
DiaKG: an Annotated Diabetes Dataset for Medical Knowledge Graph Construction. CoRR abs/2105.15033 (2021) - 2020
- [c7]Qiao Jin, Haoyang Ding, Linfeng Li, Haitao Huang, Lei Wang, Jun Yan:
Tackling MeSH Indexing Dataset Shift with Time-Aware Concept Embedding Learning. DASFAA (3) 2020: 474-488 - [c6]Qiao Jin
Predicting Clinical Trial Results by Implicit Evidence Integration. EMNLP (1) 2020: 1461-1477 - [c5]Qiao Jin, Chuanqi Tan, Mosha Chen, Ming Yan, Songfang Huang, Ningyu Zhang, Xiaozhong Liu:
Aliababa DAMO Academy at TREC Precision Medicine 2020: State-of-the-art Evidence Retriever for Precision Medicine with Expert-in-the-loop Active Learning. TREC 2020 - [i5]Qiao Jin, Chuanqi Tan, Mosha Chen, Xiaozhong Liu, Songfang Huang:
Predicting Clinical Trial Results by Implicit Evidence Integration. CoRR abs/2010.05639 (2020)
2010 – 2019
- 2019
- [c4]Qiao Jin
Deep Contextualized Biomedical Abbreviation Expansion. BioNLP@ACL 2019: 88-96 - [c3]Qiao Jin
PubMedQA: A Dataset for Biomedical Research Question Answering. EMNLP/IJCNLP (1) 2019: 2567-2577 - [c2]Haohan Wang, Xiang Liu, Yifeng Tao, Wenting Ye, Qiao Jin, William W. Cohen, Eric P. Xing:
Automatic Human-like Mining and Constructing Reliable Genetic Association Database with Deep Reinforcement Learning. PSB 2019: 112-123 - [i4]Qiao Jin, Bhuwan Dhingra, William W. Cohen, Xinghua Lu:
Probing Biomedical Embeddings from Language Models. CoRR abs/1904.02181 (2019) - [i3]Qiao Jin, Jinling Liu, Xinghua Lu:
Deep Contextualized Biomedical Abbreviation Expansion. CoRR abs/1906.03360 (2019) - [i2]Qiao Jin, Bhuwan Dhingra, Zhengping Liu, William W. Cohen, Xinghua Lu:
PubMedQA: A Dataset for Biomedical Research Question Answering. CoRR abs/1909.06146 (2019) - 2018
- [c1]Bhuwan Dhingra, Qiao Jin
Neural Models for Reasoning over Multiple Mentions Using Coreference. NAACL-HLT (2) 2018: 42-48 - [i1]Bhuwan Dhingra, Qiao Jin, Zhilin Yang, William W. Cohen, Ruslan Salakhutdinov:
Neural Models for Reasoning over Multiple Mentions using Coreference. CoRR abs/1804.05922 (2018)
Coauthor Index
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last updated on 2024-12-10 21:48 CET by the dblp team
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