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ORCIDGuangzhi Xiong
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2020 – today
- 2025
[c10]Xiao Wang, Mengjue Tan, Qiao Jin, Guangzhi Xiong, Yu Hu, Aidong Zhang, Zhiyong Lu, Minjia Zhang:
MedCite: Can Language Models Generate Verifiable Text for Medicine? ACL (Findings) 2025: 18891-18913- [c9]Sanchit Sinha, Guangzhi Xiong, Aidong Zhang:
ASCENT-ViT: Attention-based Scale-aware Concept Learning Framework for Enhanced Alignment in Vision Transformers. IJCAI 2025: 511-519 - [c8]Guangzhi Xiong, Eric Xie, Corey M. Williams, Myles Kim, Amir Hassan Shariatmadari, Sikun Guo, Stefan Bekiranov, Aidong Zhang:
Toward Reliable Scientific Hypothesis Generation: Evaluating Truthfulness and Hallucination in Large Language Models. IJCAI 2025: 7849-7857 - [c7]Sikun Guo
, Amir Hassan Shariatmadari, Guangzhi Xiong, Albert Huang, Myles Kim, Corey M. Williams, Stefan Bekiranov, Aidong Zhang:
IdeaBench: Benchmarking Large Language Models for Research Idea Generation. KDD (2) 2025: 5888-5899 - [c6]Sikun Guo, Guangzhi Xiong, Aidong Zhang:
Optimizing External and Internal Knowledge of Foundation Models for Scientific Discovery. SDM 2025: 431-434 - [i20]Sanchit Sinha, Guangzhi Xiong, Aidong Zhang:
Leveraging Scale-aware Representations for improved Concept-Representation Alignment in ViTs. CoRR abs/2501.09221 (2025) - [i19]Guangzhi Xiong, Qiao Jin, Xiao Wang, Yin Fang, Haolin Liu, Yifan Yang, Fangyuan Chen, Zhixing Song, Dengyu Wang, Minjia Zhang, Zhiyong Lu, Aidong Zhang:
RAG-Gym: Optimizing Reasoning and Search Agents with Process Supervision. CoRR abs/2502.13957 (2025) - [i18]Guangzhi Xiong, Eric Xie, Corey M. Williams, Myles Kim, Amir Hassan Shariatmadari, Sikun Guo, Stefan Bekiranov, Aidong Zhang:
Toward Reliable Biomedical Hypothesis Generation: Evaluating Truthfulness and Hallucination in Large Language Models. CoRR abs/2505.14599 (2025) - [i17]Yin Fang, Qiao Jin, Guangzhi Xiong, Bowen Jin, Xianrui Zhong, Siru Ouyang, Aidong Zhang, Jiawei Han, Zhiyong Lu:
Cell-o1: Training LLMs to Solve Single-Cell Reasoning Puzzles with Reinforcement Learning. CoRR abs/2506.02911 (2025) - [i16]Xiao Wang, Mengjue Tan, Qiao Jin, Guangzhi Xiong, Yu Hu, Aidong Zhang, Zhiyong Lu, Minjia Zhang:
MedCite: Can Language Models Generate Verifiable Text for Medicine? CoRR abs/2506.06605 (2025) - [i15]Zhenghao He, Sanchit Sinha, Guangzhi Xiong, Aidong Zhang:
GCAV: A Global Concept Activation Vector Framework for Cross-Layer Consistency in Interpretability. CoRR abs/2508.21197 (2025) - [i14]Sanchit Sinha, Guangzhi Xiong, Aidong Zhang:
COCO-Tree: Compositional Hierarchical Concept Trees for Enhanced Reasoning in Vision Language Models. CoRR abs/2510.11012 (2025) - 2024
- [j3]Guangzhi Xiong, Nathan Leroy, Stefan Bekiranov, Nathan C. Sheffield, Aidong Zhang:
DeepGSEA: explainable deep gene set enrichment analysis for single-cell transcriptomic data. Bioinform. 40(7) (2024) - [c5]Guangzhi Xiong, Qiao Jin, Zhiyong Lu, Aidong Zhang:
Benchmarking Retrieval-Augmented Generation for Medicine. ACL (Findings) 2024: 6233-6251 - [c4]Sikun Guo, Amir Hassan Shariatmadari, Guangzhi Xiong, Aidong Zhang:
Embracing Foundation Models for Advancing Scientific Discovery. IEEE Big Data 2024: 1746-1755 - [c3]Sanchit Sinha, Guangzhi Xiong, Aidong Zhang:
A Self-explaining Neural Architecture for Generalizable Concept Learning. IJCAI 2024: 503-511 - [c2]Sanchit Sinha, Guangzhi Xiong, Aidong Zhang:
CoLiDR: Concept Learning using Aggregated Disentangled Representations. KDD 2024: 2699-2710 - [c1]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. NeurIPS 2024 - [i13]Guangzhi Xiong, Qiao Jin, Zhiyong Lu, Aidong Zhang:
Benchmarking Retrieval-Augmented Generation for Medicine. CoRR abs/2402.13178 (2024) - [i12]Sanchit Sinha, Guangzhi Xiong, Aidong Zhang:
A Self-explaining Neural Architecture for Generalizable Concept Learning. CoRR abs/2405.00349 (2024) - [i11]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) - [i10]Sanchit Sinha, Guangzhi Xiong, Aidong Zhang:
CoLiDR: Concept Learning using Aggregated Disentangled Representations. CoRR abs/2407.19300 (2024) - [i9]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) - [i8]Guangzhi Xiong, Sanchit Sinha, Aidong Zhang:
ProtoNAM: Prototypical Neural Additive Models for Interpretable Deep Tabular Learning. CoRR abs/2410.04723 (2024) - [i7]Sanchit Sinha, Guangzhi Xiong, Aidong Zhang:
Structural Causality-based Generalizable Concept Discovery Models. CoRR abs/2410.15491 (2024) - [i6]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) - [i5]Guangzhi Xiong, Eric Xie, Amir Hassan Shariatmadari, Sikun Guo, Stefan Bekiranov, Aidong Zhang:
Improving Scientific Hypothesis Generation with Knowledge Grounded Large Language Models. CoRR abs/2411.02382 (2024) - [i4]Sikun Guo, Amir Hassan Shariatmadari, Guangzhi Xiong, Albert Huang, Eric Xie, Stefan Bekiranov, Aidong Zhang:
IdeaBench: Benchmarking Large Language Models for Research Idea Generation. CoRR abs/2411.02429 (2024) - [i3]Nicholas Wan, Qiao Jin, Joey Chan, Guangzhi Xiong, Serina S. Applebaum, Aidan Gilson, Reid McMurry, R. Andrew Taylor, Aidong Zhang, Qingyu Chen, Zhiyong Lu:
Humans Continue to Outperform Large Language Models in Complex Clinical Decision-Making: A Study with Medical Calculators. CoRR abs/2411.05897 (2024) - [i2]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:
Ensuring Safety and Trust: Analyzing the Risks of Large Language Models in Medicine. CoRR abs/2411.14487 (2024) - 2023
- [j2]Guangzhi Xiong, Stefan Bekiranov, Aidong Zhang:
ProtoCell4P: an explainable prototype-based neural network for patient classification using single-cell RNA-seq. Bioinform. 39(8) (2023) - [j1]Qiao Jin, Zheng Yuan, Guangzhi Xiong, Qianlan Yu, Huaiyuan Ying, Chuanqi Tan, Mosha Chen, Songfang Huang, Xiaozhong Liu, Sheng Yu:
Biomedical Question Answering: A Survey of Approaches and Challenges. ACM Comput. Surv. 55(2): 35:1-35:36 (2023) - 2021
- [i1]Qiao Jin, Zheng Yuan, Guangzhi Xiong, Qianlan Yu, Chuanqi Tan, Mosha Chen, Songfang Huang, Xiaozhong Liu, Sheng Yu:
Biomedical Question Answering: A Comprehensive Review. CoRR abs/2102.05281 (2021)
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