Kaleb E. Smith

37 papers A 1B 1C 2Journal 25Unranked 8

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	MedGPT-oss: Training a General-Purpose Vision-Language Model for Biomedicine. CoRR Kai Zhang, Zhengqing Yuan, Cheng Peng, Songlin Zhao, Mengxian Lyu, Ziyi Chen, Yanfang Ye, Wei Liu, Ying Zhang, Kaleb E. Smith, Lifang He, Lichao Sun, Yonghui Wu
2025	A	`conf`	Accelerate Coastal Ocean Circulation Model with AI Surrogate. IPDPS Zelin Xu, Jie Ren, Yupu Zhang, Jose Maria Gonzalez Ondina, Maitane Olabarrieta, Tingsong Xiao, Wenchong He, Zibo Liu, Shigang Chen, Kaleb E. Smith, Zhe Jiang
2025	—	`conf`	FLAG-TRADER: Fusion LLM-Agent with Gradient-based Reinforcement Learning for Financial Trading. ACL (Findings) Guojun Xiong, Zhiyang Deng, Keyi Wang, Yupeng Cao, Haohang Li, Yangyang Yu, Xueqing Peng, Mingquan Lin, Kaleb E. Smith, Xiao-Yang Liu, Jimin Huang, Sophia Ananiadou, Qianqian Xie
2025	J	`jnl`	FLAG-Trader: Fusion LLM-Agent with Gradient-based Reinforcement Learning for Financial Trading. CoRR Guojun Xiong, Zhiyang Deng, Keyi Wang, Yupeng Cao, Haohang Li, Yangyang Yu, Xueqing Peng, Mingquan Lin, Kaleb E. Smith, Xiao-Yang Liu, Jimin Huang, Sophia Ananiadou, Qianqian Xie
2025	J	`jnl`	From image to report: automating lung cancer screening interpretation and reporting with vision-language models. J. Biomed. Informatics Tien-Yu Chang, Qinglin Gou, Leyi Zhao, Tiancheng Zhou, Hongyu Chen, Dong Yang, Huiwen Ju, Kaleb E. Smith, Chengkun Sun, Jinqian Pan, Yu Huang, Xing He, Xuhong Zhang, Daguang Xu, Jie Xu, Jiang Bian, Aokun Chen
2025	—	`conf`	Improving Medical Visual Instruction Tuning with Labeled Datasets. MedAGI Amin Dada, Amanda Butler Contreras, Constantin Seibold, Osman Alperen Koras, Julius Keyl, Aokun Chen, Cheng Peng, Alexander Brehmer, Kaleb E. Smith, Jiang Bian, Yonghui Wu, Jens Kleesiek
2025	J	`jnl`	MeDiSumQA: Patient-Oriented Question-Answer Generation from Discharge Letters. CoRR Amin Dada, Osman Alperen Koras, Marie Bauer, Amanda Butler Contreras, Kaleb E. Smith, Jens Kleesiek, Julian Friedrich
2025	J	`jnl`	MultiFinBen: A Multilingual, Multimodal, and Difficulty-Aware Benchmark for Financial LLM Evaluation. CoRR Xueqing Peng, Lingfei Qian, Yan Wang, Ruoyu Xiang, Yueru He, Yang Ren, Mingyang Jiang, Jeff Zhao, Huan He, Yi Han, Yun Feng, Yuechen Jiang, Yupeng Cao, Haohang Li, Yangyang Yu, Xiaoyu Wang, Penglei Gao, Shengyuan Lin, Keyi Wang, Shanshan Yang, Yilun Zhao, Zhiwei Liu, Peng Lu, Jerry Huang, Suyuchen Wang, Triantafillos Papadopoulos, Polydoros Giannouris, Efstathia Soufleri, Nuo Chen, Guojun Xiong, Zhiyang Deng, Yijia Zhao, Mingquan Lin, Meikang Qiu, Kaleb E. Smith, Arman Cohan, Xiao-Yang Liu, Jimin Huang, Alejandro Lopez-Lira, Xi Chen, Junichi Tsujii, Jian-Yun Nie, Sophia Ananiadou, Qianqian Xie
2024	J	`jnl`	A Fast AI Surrogate for Coastal Ocean Circulation Models. CoRR Zelin Xu, Jie Ren, Yupu Zhang, Jose Maria Gonzalez Ondina, Maitane Olabarrieta, Tingsong Xiao, Wenchong He, Zibo Liu, Shigang Chen, Kaleb E. Smith, Zhe Jiang
2024	J	`jnl`	CLUE: A Clinical Language Understanding Evaluation for LLMs. CoRR Amin Dada, Marie Bauer, Amanda Butler Contreras, Osman Alperen Koras, Constantin Marc Seibold, Kaleb E. Smith, Jens Kleesiek
2024	—	`conf`	Comprehensive Study on German Language Models for Clinical and Biomedical Text Understanding. LREC/COLING Ahmad Idrissi-Yaghir, Amin Dada, Henning Schäfer, Kamyar Arzideh, Giulia Baldini, Jan Trienes, Max Hasin, Jeanette Bewersdorff, Cynthia S. Schmidt, Marie Bauer, Kaleb E. Smith, Jiang Bian, Yonghui Wu, Jörg Schlötterer, Torsten Zesch, Peter A. Horn, Christin Seifert, Felix Nensa, Jens Kleesiek, Christoph M. Friedrich
2024	J	`jnl`	Comprehensive Study on German Language Models for Clinical and Biomedical Text Understanding. CoRR Ahmad Idrissi-Yaghir, Amin Dada, Henning Schäfer, Kamyar Arzideh, Giulia Baldini, Jan Trienes, Max Hasin, Jeanette Bewersdorff, Cynthia S. Schmidt, Marie Bauer, Kaleb E. Smith, Jiang Bian, Yonghui Wu, Jörg Schlötterer, Torsten Zesch, Peter A. Horn, Christin Seifert, Felix Nensa, Jens Kleesiek, Christoph M. Friedrich
2024	J	`jnl`	Generative large language models are all-purpose text analytics engines: text-to-text learning is all your need. J. Am. Medical Informatics Assoc. Cheng Peng, Xi Yang, Aokun Chen, Zehao Yu, Kaleb E. Smith, Anthony B. Costa, Mona G. Flores, Jiang Bian, Yonghui Wu
2024	J	`jnl`	Improving Generalizability of Extracting Social Determinants of Health Using Large Language Models through Prompt-tuning. CoRR Cheng Peng, Zehao Yu, Kaleb E. Smith, Wei-Hsuan Lo-Ciganic, Jiang Bian, Yonghui Wu
2024	J	`jnl`	Model tuning or prompt Tuning? a study of large language models for clinical concept and relation extraction. J. Biomed. Informatics Cheng Peng, Xi Yang, Kaleb E. Smith, Zehao Yu, Aokun Chen, Jiang Bian, Yonghui Wu
2024	J	`jnl`	Open-FinLLMs: Open Multimodal Large Language Models for Financial Applications. CoRR Qianqian Xie, Dong Li, Mengxi Xiao, Zihao Jiang, Ruoyu Xiang, Xiao Zhang, Zhengyu Chen, Yueru He, Weiguang Han, Yuzhe Yang, Shunian Chen, Yifei Zhang, Lihang Shen, Daniel S. Kim, Zhiwei Liu, Zheheng Luo, Yangyang Yu, Yupeng Cao, Zhiyang Deng, Zhiyuan Yao, Haohang Li, Duanyu Feng, Yongfu Dai, VijayaSai Somasundaram, Peng Lu, Yilun Zhao, Yitao Long, Guojun Xiong, Kaleb E. Smith, Honghai Yu, Yanzhao Lai, Min Peng, Jianyun Nie, Jordan W. Suchow, Xiao-Yang Liu, Benyou Wang, Alejandro Lopez-Lira, Jimin Huang, Sophia Ananiadou
2024	J	`jnl`	Space-Based Mapping of Pre- and Post-Hurricane Mangrove Canopy Heights Using Machine Learning with Multi-Sensor Observations. Remote. Sens. Boya Zhang, Daniel Gann, Shimon Wdowinski, Chaohao Lin, Erin L. Hestir, Lukas Lamb-Wotton, Khandker Ishtiaq, Kaleb E. Smith, Yuepeng Li
2023	J	`jnl`	A Study of Generative Large Language Model for Medical Research and Healthcare. CoRR Cheng Peng, Xi Yang, Aokun Chen, Kaleb E. Smith, Nima M. Pournejatian, Anthony B. Costa, Cheryl Martin, Mona G. Flores, Ying Zhang, Tanja Magoc, Gloria P. Lipori, Duane A. Mitchell, Naykky Singh Ospina, Mustafa M. Ahmed, William R. Hogan, Elizabeth Shenkman, Yi Guo, Jiang Bian, Yonghui Wu
2023	J	`jnl`	A study of generative large language model for medical research and healthcare. npj Digit. Medicine Cheng Peng, Xi Yang, Aokun Chen, Kaleb E. Smith, Nima M. Pournejatian, Anthony B. Costa, Cheryl Martin, Mona G. Flores, Ying Zhang, Tanja Magoc, Gloria P. Lipori, Duane A. Mitchell, Naykky Singh Ospina, Mustafa M. Ahmed, William R. Hogan, Elizabeth A. Shenkman, Yi Guo, Jiang Bian, Yonghui Wu
2023	J	`jnl`	Generative Large Language Models Are All-purpose Text Analytics Engines: Text-to-text Learning Is All Your Need. CoRR Cheng Peng, Xi Yang, Aokun Chen, Zehao Yu, Kaleb E. Smith, Anthony B. Costa, Mona G. Flores, Jiang Bian, Yonghui Wu
2023	J	`jnl`	Model Tuning or Prompt Tuning? A Study of Large Language Models for Clinical Concept and Relation Extraction. CoRR Cheng Peng, Xi Yang, Kaleb E. Smith, Zehao Yu, Aokun Chen, Jiang Bian, Yonghui Wu
2023	—	`conf`	On the Impact of Cross-Domain Data on German Language Models. EMNLP (Findings) Amin Dada, Aokun Chen, Cheng Peng, Kaleb E. Smith, Ahmad Idrissi-Yaghir, Constantin Seibold, Jianning Li, Lars Heiliger, Christoph M. Friedrich, Daniel Truhn, Jan Egger, Jiang Bian, Jens Kleesiek, Yonghui Wu
2023	J	`jnl`	On the Impact of Cross-Domain Data on German Language Models. CoRR Amin Dada, Aokun Chen, Cheng Peng, Kaleb E. Smith, Ahmad Idrissi-Yaghir, Constantin Marc Seibold, Jianning Li, Lars Heiliger, Xi Yang, Christoph M. Friedrich, Daniel Truhn, Jan Egger, Jiang Bian, Jens Kleesiek, Yonghui Wu
2022	J	`jnl`	A large language model for electronic health records. npj Digit. Medicine Xi Yang, Aokun Chen, Nima M. Pournejatian, Hoo Chang Shin, Kaleb E. Smith, Christopher Parisien, Colin Compas, Cheryl Martin, Anthony B. Costa, Mona G. Flores, Ying Zhang, Tanja Magoc, Christopher A. Harle, Gloria P. Lipori, Duane A. Mitchell, William R. Hogan, Elizabeth A. Shenkman, Jiang Bian, Yonghui Wu
2022	J	`jnl`	GatorTron: A Large Clinical Language Model to Unlock Patient Information from Unstructured Electronic Health Records. CoRR Xi Yang, Nima M. Pournejatian, Hoo Chang Shin, Kaleb E. Smith, Christopher Parisien, Colin Compas, Cheryl Martin, Mona G. Flores, Ying Zhang, Tanja Magoc, Christopher A. Harle, Gloria P. Lipori, Duane A. Mitchell, William R. Hogan, Elizabeth A. Shenkman, Jiang Bian, Yonghui Wu
2022	J	`jnl`	Machine Learning Methods Applied to Cortico-Cortical Evoked Potentials Aid in Localizing Seizure Onset Zones. CoRR Ian G. Malone, Kaleb E. Smith, Morgan E. Urdaneta, Tyler S. Davis, Daria Nesterovich Anderson, Brian J. Phillip, John D. Rolston, Christopher R. Butson
2022	C	`conf`	Space-Based Mapping of Mangrove Canopy Height with Multi-Sensor Observations and Deep Learning Techniques. IGARSS Boya Zhang, Kaleb E. Smith, Shimon Wdowinski, Chaohao Lin, Daniel Gann, Selena Chavez, Jingchao Zhang
2021	J	`jnl`	A Spectral Enabled GAN for Time Series Data Generation. CoRR Kaleb E. Smith, Anthony O. Smith
2021	J	`jnl`	Building an AI-ready RSE Workforce. CoRR Ying Zhang, Matthew A. Gitzendanner, Dan S. Maxwell, Justin W. Richardson, Kaleb E. Smith, Eric A. Stubbs, Brian J. Stucky, Jingchao Zhang, Erik Deumens
2020	J	`jnl`	Conditional GAN for timeseries generation. CoRR Kaleb E. Smith, Anthony O. Smith
2019	—	`conf`	A Shallow Learning - Reduced Data Approach for Image Classification. Canadian AI Kaleb E. Smith, Phillip Williams
2018	—	`conf`	Deep Convolutional-Shepard Interpolation Neural Networks for Image Classification Tasks. ICIAR Kaleb E. Smith, Phillip Williams, Tatsanee Chaiya, Max Ble
2018	B	`conf`	Shepard Interpolation Neural Networks with K-Means: A Shallow Learning Method for Time Series Classification. IJCNN Kaleb E. Smith, Phillip Williams, Kaylen J. Bryan, Mitchell Solomon, Max Ble, Rana Haber
2018	C	`conf`	Time Series Classification with Shallow Learning Shepard Interpolation Neural Networks. ICISP Kaleb E. Smith, Phillip Williams
2018	J	`jnl`	Using visual programming robots to engage students in K-12 CS education: work in progress. J. Comput. Sci. Coll. Jiang Li, Kaleb E. Smith
2016	—	`conf`	Adaptive Foreground Extraction for Deep Fish Classification. CVAUI@ICPR Nicole Seese, Andrew Myers, Kaleb E. Smith, Anthony O. Smith
2016	—	`conf`	Video Tracking with Probabilistic Cooccurrence Feature Extraction. ISVC (2) Kaleb E. Smith, Anthony O. Smith