| Biomedical question answering: a survey of approaches and challenges Q Jin, Z Yuan, G Xiong, Q Yu, H Ying, C Tan, M Chen, S Huang, X Liu, ... ACM Computing Surveys (CSUR) 55 (2), 1-36, 2022 | 129 | 2022 |
| Benchmarking Retrieval-Augmented Generation for Medicine G Xiong, Q Jin, Z Lu, A Zhang Findings of the Association for Computational Linguistics ACL 2024, 6233–6251, 2024 | 111 | 2024 |
| Biomedical question answering: A comprehensive review Q Jin, Z Yuan, G Xiong, Q Yu, C Tan, M Chen, S Huang, X Liu, S Yu arXiv preprint arXiv:2102.05281, 2021 | 19 | 2021 |
| Improving retrieval-augmented generation in medicine with iterative follow-up questions G Xiong, Q Jin, X Wang, M Zhang, Z Lu, A Zhang Biocomputing 2025: Proceedings of the Pacific Symposium, 199-214, 2024 | 8 | 2024 |
| ProtoCell4P: an explainable prototype-based neural network for patient classification using single-cell RNA-seq G Xiong, S Bekiranov, A Zhang Bioinformatics 39 (8), btad493, 2023 | 6 | 2023 |
| MedCalc-Bench: Evaluating Large Language Models for Medical Calculations N Khandekar, Q Jin, G Xiong, S Dunn, SS Applebaum, Z Anwar, ... arXiv preprint arXiv:2406.12036, 2024 | 3 | 2024 |
| Improving scientific hypothesis generation with knowledge grounded large language models G Xiong, E Xie, AH Shariatmadari, S Guo, S Bekiranov, A Zhang arXiv preprint arXiv:2411.02382, 2024 | 2 | 2024 |
| CoLiDR: Concept Learning using Aggregated Disentangled Representations S Sinha, G Xiong, A Zhang Proceedings of the 30th ACM SIGKDD Conference on Knowledge Discovery and …, 2024 | 2 | 2024 |
| Ideabench: Benchmarking large language models for research idea generation S Guo, AH Shariatmadari, G Xiong, A Huang, E Xie, S Bekiranov, A Zhang arXiv preprint arXiv:2411.02429, 2024 | 1 | 2024 |
| Demystifying large language models for medicine: A primer Q Jin, N Wan, R Leaman, S Tian, Z Wang, Y Yang, Z Wang, G Xiong, ... arXiv preprint arXiv:2410.18856, 2024 | 1 | 2024 |
| Leveraging Scale-aware Representations for improved Concept-Representation Alignment in ViTs S Sinha, G Xiong, A Zhang arXiv preprint arXiv:2501.09221, 2025 | | 2025 |
| Embracing Foundation Models for Advancing Scientific Discovery S Guo, AH Shariatmadari, G Xiong, A Zhang 2024 IEEE International Conference on Big Data (BigData), 1746-1755, 2024 | | 2024 |
| Ensuring Safety and Trust: Analyzing the Risks of Large Language Models in Medicine Y Yang, Q Jin, R Leaman, X Liu, G Xiong, M Sarfo-Gyamfi, C Gong, ... arXiv preprint arXiv:2411.14487, 2024 | | 2024 |
| Humans Continue to Outperform Large Language Models in Complex Clinical Decision-Making: A Study with Medical Calculators N Wan, Q Jin, J Chan, G Xiong, S Applebaum, A Gilson, R McMurry, ... arXiv preprint arXiv:2411.05897, 2024 | | 2024 |
| Structural Causality-based Generalizable Concept Discovery Models S Sinha, G Xiong, A Zhang arXiv preprint arXiv:2410.15491, 2024 | | 2024 |
| ProtoNAM: Prototypical Neural Additive Models for Interpretable Deep Tabular Learning G Xiong, S Sinha, A Zhang arXiv preprint arXiv:2410.04723, 2024 | | 2024 |
| DeepGSEA: explainable deep gene set enrichment analysis for single-cell transcriptomic data G Xiong, NJ LeRoy, S Bekiranov, NC Sheffield, A Zhang Bioinformatics 40 (7), btae434, 2024 | | 2024 |
| A Self-explaining Neural Architecture for Generalizable Concept Learning S Sinha, G Xiong, A Zhang arXiv preprint arXiv:2405.00349, 2024 | | 2024 |
| Leveraging Grounded Large Language Models to Automate Educational Presentation Generation E Xie, G Xiong, H Yang, A Zhang | | |
