Guangzhi Xiong

43 papers A* 7A 1B 1Journal 31Unranked 3
YearRankTypeTitle / Venue / Authors
2026 J jnl
CASL: Concept-Aligned Sparse Latents for Interpreting Diffusion Models.
CoRR
Zhenghao He, Guangzhi Xiong, Boyang Wang, Sanchit Sinha, Aidong Zhang
2026 A* conf
Concept-RuleNet: Grounded Multi-Agent Neurosymbolic Reasoning in Vision Language Models.
AAAI
Sanchit Sinha, Guangzhi Xiong, Zhenghao He, Aidong Zhang
2026 J jnl
Med-V1: Small Language Models for Zero-shot and Scalable Biomedical Evidence Attribution.
CoRR
Qiao Jin, Yin Fang, Lauren He, Yifan Yang, Guangzhi Xiong, Zhizheng Wang, Nicholas Wan, Joey Chan, Donald C. Comeau, Robert Leaman, Charalampos S. Floudas, Aidong Zhang, Michael F. Chiang, Yifan Peng, Zhiyong Lu
2026 J jnl
Neural Additive Experts: Context-Gated Experts for Controllable Model Additivity.
CoRR
Guangzhi Xiong, Sanchit Sinha, Aidong Zhang
2026 J jnl
Reasoning Beyond Chain-of-Thought: A Latent Computational Mode in Large Language Models.
CoRR
Zhenghao He, Guangzhi Xiong, Bohan Liu, Sanchit Sinha, Aidong Zhang
2026 J jnl
Retrieving Counterfactuals Improves Visual In-Context Learning.
CoRR
Guangzhi Xiong, Sanchit Sinha, Zhenghao He, Aidong Zhang
2025 A* conf
ASCENT-ViT: Attention-based Scale-aware Concept Learning Framework for Enhanced Alignment in Vision Transformers.
IJCAI
Sanchit Sinha, Guangzhi Xiong, Aidong Zhang
2025 J jnl
COCO-Tree: Compositional Hierarchical Concept Trees for Enhanced Reasoning in Vision Language Models.
CoRR
Sanchit Sinha, Guangzhi Xiong, Aidong Zhang
2025 A* conf
COCO-Tree: Compositional Hierarchical Concept Trees for Enhanced Reasoning in Vision-Language Models.
EMNLP
Sanchit Sinha, Guangzhi Xiong, Aidong Zhang
2025 J jnl
Cell-o1: Training LLMs to Solve Single-Cell Reasoning Puzzles with Reinforcement Learning.
CoRR
Yin Fang, Qiao Jin, Guangzhi Xiong, Bowen Jin, Xianrui Zhong, Siru Ouyang, Aidong Zhang, Jiawei Han, Zhiyong Lu
2025 J jnl
Concept-RuleNet: Grounded Multi-Agent Neurosymbolic Reasoning in Vision Language Models.
CoRR
Sanchit Sinha, Guangzhi Xiong, Zhenghao He, Aidong Zhang
2025 J jnl
GCAV: A Global Concept Activation Vector Framework for Cross-Layer Consistency in Interpretability.
CoRR
Zhenghao He, Sanchit Sinha, Guangzhi Xiong, Aidong Zhang
2025 — conf
IdeaBench: Benchmarking Large Language Models for Research Idea Generation.
KDD (2)
Sikun Guo, Amir Hassan Shariatmadari, Guangzhi Xiong, Albert Huang, Myles Kim, Corey M. Williams, Stefan Bekiranov, Aidong Zhang
2025 J jnl
Leveraging Scale-aware Representations for improved Concept-Representation Alignment in ViTs.
CoRR
Sanchit Sinha, Guangzhi Xiong, Aidong Zhang
2025 — conf
MedCite: Can Language Models Generate Verifiable Text for Medicine?
ACL (Findings)
Xiao Wang, Mengjue Tan, Qiao Jin, Guangzhi Xiong, Yu Hu, Aidong Zhang, Zhiyong Lu, Minjia Zhang
2025 J jnl
MedCite: Can Language Models Generate Verifiable Text for Medicine?
CoRR
Xiao Wang, Mengjue Tan, Qiao Jin, Guangzhi Xiong, Yu Hu, Aidong Zhang, Zhiyong Lu, Minjia Zhang
2025 A conf
Optimizing External and Internal Knowledge of Foundation Models for Scientific Discovery.
SDM
Sikun Guo, Guangzhi Xiong, Aidong Zhang
2025 J jnl
ProtoNAM: Prototypical Neural Additive Models for Interpretable Deep Tabular Learning.
ACM Trans. Knowl. Discov. Data
Guangzhi Xiong, Sanchit Sinha, Aidong Zhang
2025 J jnl
RAG-Gym: Optimizing Reasoning and Search Agents with Process Supervision.
CoRR
Guangzhi Xiong, Qiao Jin, Xiao Wang, Yin Fang, Haolin Liu, Yifan Yang, Fangyuan Chen, Zhixing Song, Dengyu Wang, Minjia Zhang, Zhiyong Lu, Aidong Zhang
2025 J jnl
Toward Faithful Retrieval-Augmented Generation with Sparse Autoencoders.
CoRR
Guangzhi Xiong, Zhenghao He, Bohan Liu, Sanchit Sinha, Aidong Zhang
2025 J jnl
Toward Reliable Biomedical Hypothesis Generation: Evaluating Truthfulness and Hallucination in Large Language Models.
CoRR
Guangzhi Xiong, Eric Xie, Corey M. Williams, Myles Kim, Amir Hassan Shariatmadari, Sikun Guo, Stefan Bekiranov, Aidong Zhang
2025 A* conf
Toward Reliable Scientific Hypothesis Generation: Evaluating Truthfulness and Hallucination in Large Language Models.
IJCAI
Guangzhi Xiong, Eric Xie, Corey M. Williams, Myles Kim, Amir Hassan Shariatmadari, Sikun Guo, Stefan Bekiranov, Aidong Zhang
2024 A* conf
A Self-explaining Neural Architecture for Generalizable Concept Learning.
IJCAI
Sanchit Sinha, Guangzhi Xiong, Aidong Zhang
2024 J jnl
A Self-explaining Neural Architecture for Generalizable Concept Learning.
CoRR
Sanchit Sinha, Guangzhi Xiong, Aidong Zhang
2024 — conf
Benchmarking Retrieval-Augmented Generation for Medicine.
ACL (Findings)
Guangzhi Xiong, Qiao Jin, Zhiyong Lu, Aidong Zhang
2024 J jnl
Benchmarking Retrieval-Augmented Generation for Medicine.
CoRR
Guangzhi Xiong, Qiao Jin, Zhiyong Lu, Aidong Zhang
2024 A* conf
CoLiDR: Concept Learning using Aggregated Disentangled Representations.
KDD
Sanchit Sinha, Guangzhi Xiong, Aidong Zhang
2024 J jnl
CoLiDR: Concept Learning using Aggregated Disentangled Representations.
CoRR
Sanchit Sinha, Guangzhi Xiong, Aidong Zhang
2024 J jnl
DeepGSEA: explainable deep gene set enrichment analysis for single-cell transcriptomic data.
Bioinform.
Guangzhi Xiong, Nathan Leroy, Stefan Bekiranov, Nathan C. Sheffield, Aidong Zhang
2024 J jnl
Demystifying Large Language Models for Medicine: A Primer.
CoRR
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
2024 B conf
Embracing Foundation Models for Advancing Scientific Discovery.
IEEE Big Data
Sikun Guo, Amir Hassan Shariatmadari, Guangzhi Xiong, Aidong Zhang
2024 J jnl
Ensuring Safety and Trust: Analyzing the Risks of Large Language Models in Medicine.
CoRR
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
2024 J jnl
Humans Continue to Outperform Large Language Models in Complex Clinical Decision-Making: A Study with Medical Calculators.
CoRR
Nicholas Wan, Qiao Jin, Joey Chan, Guangzhi Xiong, Serina S. Applebaum, Aidan Gilson, Reid McMurry, R. Andrew Taylor, Aidong Zhang, Qingyu Chen, Zhiyong Lu
2024 J jnl
IdeaBench: Benchmarking Large Language Models for Research Idea Generation.
CoRR
Sikun Guo, Amir Hassan Shariatmadari, Guangzhi Xiong, Albert Huang, Eric Xie, Stefan Bekiranov, Aidong Zhang
2024 J jnl
Improving Retrieval-Augmented Generation in Medicine with Iterative Follow-up Questions.
CoRR
Guangzhi Xiong, Qiao Jin, Xiao Wang, Minjia Zhang, Zhiyong Lu, Aidong Zhang
2024 J jnl
Improving Scientific Hypothesis Generation with Knowledge Grounded Large Language Models.
CoRR
Guangzhi Xiong, Eric Xie, Amir Hassan Shariatmadari, Sikun Guo, Stefan Bekiranov, Aidong Zhang
2024 A* conf
MedCalc-Bench: Evaluating Large Language Models for Medical Calculations.
NeurIPS
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
2024 J jnl
MedCalc-Bench: Evaluating Large Language Models for Medical Calculations.
CoRR
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
2024 J jnl
ProtoNAM: Prototypical Neural Additive Models for Interpretable Deep Tabular Learning.
CoRR
Guangzhi Xiong, Sanchit Sinha, Aidong Zhang
2024 J jnl
Structural Causality-based Generalizable Concept Discovery Models.
CoRR
Sanchit Sinha, Guangzhi Xiong, Aidong Zhang
2023 J jnl
Biomedical Question Answering: A Survey of Approaches and Challenges.
ACM Comput. Surv.
Qiao Jin, Zheng Yuan, Guangzhi Xiong, Qianlan Yu, Huaiyuan Ying, Chuanqi Tan, Mosha Chen, Songfang Huang, Xiaozhong Liu, Sheng Yu
2023 J jnl
ProtoCell4P: an explainable prototype-based neural network for patient classification using single-cell RNA-seq.
Bioinform.
Guangzhi Xiong, Stefan Bekiranov, Aidong Zhang
2021 J jnl
Biomedical Question Answering: A Comprehensive Review.
CoRR
Qiao Jin, Zheng Yuan, Guangzhi Xiong, Qianlan Yu, Chuanqi Tan, Mosha Chen, Songfang Huang, Xiaozhong Liu, Sheng Yu