Guangzhi Xiong

According to our database, Guangzhi Xiong authored at least 23 papers between 2021 and 2025.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2025

Cell-o1: Training LLMs to Solve Single-Cell Reasoning Puzzles with Reinforcement Learning.

Yin Fang, Qiao Jin, Guangzhi Xiong, Bowen Jin, Xianrui Zhong, Siru Ouyang, Aidong Zhang, Jiawei Han, Zhiyong Lu

CoRR, June, 2025

Toward Reliable Biomedical Hypothesis Generation: Evaluating Truthfulness and Hallucination in Large Language Models.

Guangzhi Xiong, Eric Xie, Corey Williams, Myles Kim, Amir Hassan Shariatmadari, Sikun Guo, Stefan Bekiranov, Aidong Zhang

CoRR, May, 2025

RAG-Gym: Optimizing Reasoning and Search Agents with Process Supervision.

Guangzhi Xiong, Qiao Jin, Xiao Wang, Yin Fang, Haolin Liu, Yifan Yang, Fangyuan Chen, Zhixing Song, Dengyu Wang, Minjia Zhang, Zhiyong Lu, Aidong Zhang

CoRR, February, 2025

Leveraging Scale-aware Representations for improved Concept-Representation Alignment in ViTs.

Sanchit Sinha, Guangzhi Xiong, Aidong Zhang

CoRR, January, 2025

Optimizing External and Internal Knowledge of Foundation Models for Scientific Discovery.

Sikun Guo, Guangzhi Xiong, Aidong Zhang

Proceedings of the 2025 SIAM International Conference on Data Mining, 2025

MedCite: Can Language Models Generate Verifiable Text for Medicine?

Xiao Wang, Mengjue Tan, Qiao Jin, Guangzhi Xiong, Yu Hu, Aidong Zhang, Zhiyong Lu, Minjia Zhang

Proceedings of the Findings of the Association for Computational Linguistics, 2025

2024

Ensuring Safety and Trust: Analyzing the Risks of Large Language Models in Medicine.

Yifan Yang, Qiao Jin, Robert Leaman, Xiaoyu Liu, Guangzhi Xiong, Maame Sarfo-Gyamfi, Changlin Gong, Santiago Ferrière-Steinert, W. John Wilbur, Xiaojun Li, Jiaxin Yuan, Bang An, Kelvin S. Castro, Francisco Erramuspe Álvarez, Matías Stockle, Aidong Zhang, Furong Huang, Zhiyong Lu

CoRR, 2024

Humans Continue to Outperform Large Language Models in Complex Clinical Decision-Making: A Study with Medical Calculators.

Nicholas Wan, Qiao Jin, Joey Chan, Guangzhi Xiong, Serina S. Applebaum, Aidan Gilson, Reid McMurry, R. Andrew Taylor, Aidong Zhang, Qingyu Chen, Zhiyong Lu

CoRR, 2024

IdeaBench: Benchmarking Large Language Models for Research Idea Generation.

Sikun Guo, Amir Hassan Shariatmadari, Guangzhi Xiong, Albert Huang, Eric Xie, Stefan Bekiranov, Aidong Zhang

CoRR, 2024

Improving Scientific Hypothesis Generation with Knowledge Grounded Large Language Models.

Guangzhi Xiong, Eric Xie, Amir Hassan Shariatmadari, Sikun Guo, Stefan Bekiranov, Aidong Zhang

CoRR, 2024

Demystifying Large Language Models for Medicine: A Primer.

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

CoRR, 2024

Structural Causality-based Generalizable Concept Discovery Models.

Sanchit Sinha, Guangzhi Xiong, Aidong Zhang

CoRR, 2024

ProtoNAM: Prototypical Neural Additive Models for Interpretable Deep Tabular Learning.

Guangzhi Xiong, Sanchit Sinha, Aidong Zhang

CoRR, 2024

Improving Retrieval-Augmented Generation in Medicine with Iterative Follow-up Questions.

Guangzhi Xiong, Qiao Jin, Xiao Wang, Minjia Zhang, Zhiyong Lu, Aidong Zhang

CoRR, 2024

DeepGSEA: explainable deep gene set enrichment analysis for single-cell transcriptomic data.

Guangzhi Xiong, Nathan Leroy, Stefan Bekiranov, Nathan C. Sheffield, Aidong Zhang

Bioinform., 2024

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

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

Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2024, 2024

CoLiDR: Concept Learning using Aggregated Disentangled Representations.

Sanchit Sinha, Guangzhi Xiong, Aidong Zhang

Proceedings of the 30th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2024

A Self-explaining Neural Architecture for Generalizable Concept Learning.

Sanchit Sinha, Guangzhi Xiong, Aidong Zhang

Proceedings of the Thirty-Third International Joint Conference on Artificial Intelligence, 2024

Embracing Foundation Models for Advancing Scientific Discovery.

Sikun Guo, Amir Hassan Shariatmadari, Guangzhi Xiong, Aidong Zhang

Proceedings of the IEEE International Conference on Big Data, 2024

Benchmarking Retrieval-Augmented Generation for Medicine.

Guangzhi Xiong, Qiao Jin, Zhiyong Lu, Aidong Zhang

Proceedings of the Findings of the Association for Computational Linguistics, 2024

2023

ProtoCell4P: an explainable prototype-based neural network for patient classification using single-cell RNA-seq.

Guangzhi Xiong, Stefan Bekiranov, Aidong Zhang

Bioinform., August, 2023

Biomedical Question Answering: A Survey of Approaches and Challenges.

Qiao Jin, Zheng Yuan, Guangzhi Xiong, Qianlan Yu, Huaiyuan Ying, Chuanqi Tan, Mosha Chen, Songfang Huang, Xiaozhong Liu, Sheng Yu

ACM Comput. Surv., 2023

2021

Biomedical Question Answering: A Comprehensive Review.

Qiao Jin, Zheng Yuan, Guangzhi Xiong, Qianlan Yu, Chuanqi Tan, Mosha Chen, Songfang Huang, Xiaozhong Liu, Sheng Yu

CoRR, 2021