Qiao Jin
Orcid: 0000-0002-1268-7239Affiliations:
- Tsinghua University, School of Medicine, Beijing, China
- University of Pittsburgh, Department of Biomedical Informatics, Pittsburgh, PA, USA (2017 - 2019)
According to our database1,
Qiao Jin
authored at least 45 papers
between 2018 and 2024.
Collaborative distances:
Collaborative distances:
Timeline
Legend:
Book In proceedings Article PhD thesis Dataset OtherLinks
Online presence:
-
on orcid.org
On csauthors.net:
Bibliography
2024
GeneGPT: augmenting large language models with domain tools for improved access to biomedical information.
Bioinform., February, 2024
Closing the gap between open source and commercial large language models for medical evidence summarization.
npj Digit. Medicine, 2024
npj Digit. Medicine, 2024
Leveraging generative AI for clinical evidence synthesis needs to ensure trustworthiness.
J. Biomed. Informatics, 2024
Enhancing Large Language Models with Domain-specific Retrieval Augment Generation: A Case Study on Long-form Consumer Health Question Answering in Ophthalmology.
CoRR, 2024
Improving Retrieval-Augmented Generation in Medicine with Iterative Follow-up Questions.
CoRR, 2024
CoRR, 2024
GeneAgent: Self-verification Language Agent for Gene Set Knowledge Discovery using Domain Databases.
CoRR, 2024
AgentMD: Empowering Language Agents for Risk Prediction with Large-Scale Clinical Tool Learning.
CoRR, 2024
Harnessing PubMed User Query Logs for Post Hoc Explanations of Recommended Similar Articles.
CoRR, 2024
Quality of Answers of Generative Large Language Models vs Peer Patients for Interpreting Lab Test Results for Lay Patients: Evaluation Study.
CoRR, 2024
Leveraging Professional Radiologists' Expertise to Enhance LLMs' Evaluation for Radiology Reports.
CoRR, 2024
Unmasking and Quantifying Racial Bias of Large Language Models in Medical Report Generation.
CoRR, 2024
CoRR, 2024
Leveraging Professional Radiologists' Expertise to Enhance LLMs' Evaluation for AI-generated Radiology Reports.
Proceedings of the 12th IEEE International Conference on Healthcare Informatics, 2024
Proceedings of the Findings of the Association for Computational Linguistics, 2024
2023
MedCPT: Contrastive Pre-trained Transformers with large-scale PubMed search logs for zero-shot biomedical information retrieval.
Bioinform., October, 2023
ACM Comput. Surv., 2023
Leveraging Generative AI for Clinical Evidence Summarization Needs to Achieve Trustworthiness.
CoRR, 2023
PubMed and Beyond: Recent Advances and Best Practices in Biomedical Literature Search.
CoRR, 2023
BioCPT: Contrastive Pre-trained Transformers with Large-scale PubMed Search Logs for Zero-shot Biomedical Information Retrieval.
CoRR, 2023
Opportunities and Challenges for ChatGPT and Large Language Models in Biomedicine and Health.
CoRR, 2023
RAMM: Retrieval-augmented Biomedical Visual Question Answering with Multi-modal Pre-training.
CoRR, 2023
Proceedings of the 46th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2023
RAMM: Retrieval-augmented Biomedical Visual Question Answering with Multi-modal Pre-training.
Proceedings of the 31st ACM International Conference on Multimedia, 2023
Multi-stage Literature Retrieval System Trained by PubMed Search Logs for Biomedical Question Answering.
Proceedings of the Working Notes of the Conference and Labs of the Evaluation Forum (CLEF 2023), 2023
2022
PMC-Patients: A Large-scale Dataset of Patient Notes and Relations Extracted from Case Reports in PubMed Central.
CoRR, 2022
2021
Alibaba DAMO Academy at TREC Clinical Trials 2021: ExploringEmbedding-based First-stage Retrieval with TrialMatcher.
Proceedings of the Thirtieth Text REtrieval Conference, 2021
Proceedings of the Knowledge Graph and Semantic Computing: Knowledge Graph Empowers New Infrastructure Construction, 2021
2020
Aliababa DAMO Academy at TREC Precision Medicine 2020: State-of-the-art Evidence Retriever for Precision Medicine with Expert-in-the-loop Active Learning.
Proceedings of the Twenty-Ninth Text REtrieval Conference, 2020
Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing, 2020
Proceedings of the Database Systems for Advanced Applications, 2020
2019
Automatic Human-like Mining and Constructing Reliable Genetic Association Database with Deep Reinforcement Learning.
Proceedings of the Biocomputing 2019: Proceedings of the Pacific Symposium, 2019
Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing and the 9th International Joint Conference on Natural Language Processing, 2019
Proceedings of the 18th BioNLP Workshop and Shared Task, 2019
2018
Proceedings of the 2018 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2018