Qiao Jin

Orcid: 0000-0002-1268-7239

Affiliations:
  • 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 47 papers between 2018 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

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PhD thesis 
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Links

Online presence:

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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

Hidden flaws behind expert-level accuracy of multimodal GPT-4 vision in medicine.
npj Digit. Medicine, 2024

Leveraging generative AI for clinical evidence synthesis needs to ensure trustworthiness.
J. Biomed. Informatics, 2024

Demystifying Large Language Models for Medicine: A Primer.
CoRR, 2024

Beyond Multiple-Choice Accuracy: Real-World Challenges of Implementing Large Language Models in Healthcare.
CoRR, 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

Accelerating Clinical Evidence Synthesis with Large Language Models.
CoRR, 2024

Adversarial Attacks on Large Language Models in Medicine.
CoRR, 2024

MedCalc-Bench: Evaluating Large Language Models for Medical Calculations.
CoRR, 2024

Shadow and Light: Digitally Reconstructed Radiographs for Disease Classification.
CoRR, 2024

GeneAgent: Self-verification Language Agent for Gene Set Knowledge Discovery using Domain Databases.
CoRR, 2024

Decomposing Vision-based LLM Predictions for Auto-Evaluation with GPT-4.
CoRR, 2024

AgentMD: Empowering Language Agents for Risk Prediction with Large-Scale Clinical Tool Learning.
CoRR, 2024

Prioritizing Safeguarding Over Autonomy: Risks of LLM Agents for Science.
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

PubTator 3.0: an AI-powered Literature Resource for Unlocking Biomedical Knowledge.
CoRR, 2024

Hidden Flaws Behind Expert-Level Accuracy of GPT-4 Vision in Medicine.
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

Benchmarking Retrieval-Augmented Generation for Medicine.
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

Biomedical Question Answering: A Survey of Approaches and Challenges.
ACM Comput. Surv., 2023

Leveraging Generative AI for Clinical Evidence Summarization Needs to Achieve Trustworthiness.
CoRR, 2023

Matching Patients to Clinical Trials with Large Language Models.
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

LADER: Log-Augmented DEnse Retrieval for Biomedical Literature Search.
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
Biomedical Question Answering: A Comprehensive Review.
CoRR, 2021

Alibaba DAMO Academy at TREC Clinical Trials 2021: ExploringEmbedding-based First-stage Retrieval with TrialMatcher.
Proceedings of the Thirtieth Text REtrieval Conference, 2021

DiaKG: An Annotated Diabetes Dataset for Medical Knowledge Graph Construction.
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

Predicting Clinical Trial Results by Implicit Evidence Integration.
Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing, 2020

Tackling MeSH Indexing Dataset Shift with Time-Aware Concept Embedding Learning.
Proceedings of the Database Systems for Advanced Applications, 2020

2019
Probing Biomedical Embeddings from Language Models.
CoRR, 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

PubMedQA: A Dataset for Biomedical Research Question Answering.
Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing and the 9th International Joint Conference on Natural Language Processing, 2019

Deep Contextualized Biomedical Abbreviation Expansion.
Proceedings of the 18th BioNLP Workshop and Shared Task, 2019

2018
Neural Models for Reasoning over Multiple Mentions Using Coreference.
Proceedings of the 2018 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2018


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