Using Volunteers to Annotate Biomedical Corpora for Anaphora Resolution. - Shana Watters; Brian McInnes; David McKoskey; Tim Miller 002; Daniel Boley; Maria L. Gini; William Schuler; A. Polukeyeva; Jeanette K. Gundel; Sergey V. Pakhomov; Guergana Savova (AAAI Spring Symposium: Knowledge Collection from Volunteer Contributors, 2005)

Exploiting a sensed environment to improve human-agent communication. - Shana Watters; Tim Miller 002; Praveen Balachandran; William Schuler; Richard M. Voyles (AAMAS, 2005)

Integrating denotational meaning into a DBN language model. - William Schuler; Tim Miller 002 (INTERSPEECH, 2005)

Dynamic evidence models in a DBN phone recognizer. - William Schuler; Tim Miller 002; Stephen T. Wu; Andrew Exley (INTERSPEECH, 2006)

Elements of a spoken language programming interface for robots. - Tim Miller 002; Andrew Exley; William Schuler (HRI, 2007)

A Unified Syntactic Model for Parsing Fluent and Disfluent Speech. - Tim Miller 002; William Schuler (ACL (2), 2008)

A Syntactic Time-Series Model for Parsing Fluent and Disfluent Speech. - Tim Miller 002; William Schuler (COLING, 2008)

Toward a Psycholinguistically-Motivated Model of Language Processing. - William Schuler; Samir AbdelRahman; Tim Miller 002; Lane Schwartz (COLING, 2008)

Parsing Speech Repair without Specialized Grammar Symbols. - Tim Miller 002; Luan Nguyen; William Schuler (ACL/IJCNLP (2), 2009)

Word Buffering Models for Improved Speech Repair Parsing. - Tim Miller 002 (EMNLP, 2009)

Improved Syntactic Models for Parsing Speech with Repairs. - Tim Miller 002 (HLT-NAACL, 2009)

HHMM Parsing with Limited Parallelism. - Tim Miller 002; William Schuler (CMCL@ACL, 2010)

Broad-Coverage Parsing Using Human-Like Memory Constraints. - William Schuler; Samir AbdelRahman; Tim Miller 002; Lane Schwartz (Comput. Linguistics, 2010)

A Pronoun Anaphora Resolution System based on Factorial Hidden Markov Models. - Dingcheng Li; Tim Miller 002; William Schuler (ACL, 2011)

Active Learning for Coreference Resolution. - Timothy A. Miller; Dmitriy Dligach; Guergana Savova (BioNLP@HLT-NAACL, 2012)

A system for coreference resolution for the clinical narrative. - Jiaping Zheng; Wendy Webber Chapman; Timothy A. Miller; Chen Lin 002; Rebecca S. Crowley; Guergana K. Savova (J. Am. Medical Informatics Assoc., 2012)

Discovering Body Site and Severity Modifiers in Clinical Texts. - Dmitriy Dligach; Timothy A. Miller; Guergana Savova (AMIA, 2013)

Automatic Prediction of Rheumatoid Arthritis Disease Activity from the Electronic Medical Records. - Chen Lin 002; Elizabeth W. Karlson; Helena Canhão; Timothy A. Miller; Dmitriy Dligach; Pei J. Chen; Raúl N. Pérez; Yuanyuan Shen; Michael E. Weinblatt; Nancy A. Shadick; Robert M. Plenge; Guergana Savova (AMIA, 2013)

Discovering Time Expressions in Clinical Text. - Timothy A. Miller; Dmitriy Dligach; Steven Bethard; Sameer Pradhan; Chen Lin 002; Guergana K. Savova (AMIA, 2013)

Negation's Not Solved: Reconsidering Negation Annotation and Evaluation. - Stephen T. Wu; Timothy A. Miller; James J. Masanz; Matthew Coarr; David Carrell; Scott R. Halgrim; David Harris 004; Cheryl Clark (AMIA, 2013)

Discovering Temporal Narrative Containers in Clinical Text. - Timothy Miller 002; Steven Bethard; Dmitriy Dligach; Sameer Pradhan; Chen Lin 002; Guergana Savova (BioNLP@ACL, 2013)

Active Learning for Phenotyping Tasks. - Dmitriy Dligach; Timothy Miller 002; Guergana Savova (RANLP (Medicine and Biology), 2013)

Descending-Path Convolution Kernel for Syntactic Structures. - Chen Lin 002; Timothy Miller 002; Alvin Kho; Steven Bethard; Dmitriy Dligach; Sameer Pradhan; Guergana Savova (ACL (2), 2014)

Discovering body site and severity modifiers in clinical texts. - Dmitriy Dligach; Steven Bethard; Lee Becker; Timothy Miller 002; Guergana K. Savova (J. Am. Medical Informatics Assoc., 2014)

Temporal Annotation in the Clinical Domain. - William F. Styler IV; Steven Bethard; Sean Finan; Martha Palmer; Sameer Pradhan; Piet C. de Groen; Bradley James Erickson; Timothy Miller 002; Chen Lin 002; Guergana K. Savova; James Pustejovsky (Trans. Assoc. Comput. Linguistics, 2014)

Semi-supervised Learning for Phenotyping Tasks. - Dmitriy Dligach; Timothy A. Miller; Guergana Savova (AMIA, 2015)

Robust Sentence Segmentation for Clinical Text. - Timothy A. Miller; Sean Finan; Dmitriy Dligach; Guergana Savova (AMIA, 2015)

Extracting Time Expressions from Clinical Text. - Timothy Miller 002; Steven Bethard; Dmitriy Dligach; Chen Lin 002; Guergana Savova (BioNLP@IJCNLP, 2015)

Automatic identification of methotrexate-induced liver toxicity in patients with rheumatoid arthritis from the electronic medical record. - Chen Lin 002; Elizabeth W. Karlson; Dmitriy Dligach; Monica P. Ramirez; Timothy A. Miller; Huan Mo; Natalie S. Braggs; Andrew Cagan; Vivian S. Gainer; Joshua C. Denny; Guergana K. Savova (J. Am. Medical Informatics Assoc., 2015)

Feature Portability in Cross-domain Clinical Coreference. - Timothy A. Miller; Dmitriy Dligach; Chen Lin 002; Steven Bethard; Guergana Savova (AMIA, 2016)

Improving Temporal Relation Extraction with Training Instance Augmentation. - Chen Lin 002; Timothy Miller 002; Dmitriy Dligach; Steven Bethard; Guergana Savova (BioNLP@ACL, 2016)

Unsupervised Document Classification with Informed Topic Models. - Timothy Miller 002; Dmitriy Dligach; Guergana Savova (BioNLP@ACL, 2016)

Memory-Bounded Left-Corner Unsupervised Grammar Induction on Child-Directed Input. - Cory Shain; William Bryce; Lifeng Jin; Victoria Krakovna; Finale Doshi-Velez; Timothy Miller 002; William Schuler; Lane Schwartz (COLING, 2016)

Multilayered temporal modeling for the clinical domain. - Chen Lin 002; Dmitriy Dligach; Timothy A. Miller; Steven Bethard; Guergana K. Savova (J. Am. Medical Informatics Assoc., 2016)

Recurrent Neural Network Architectures for Event Extraction from Italian Medical Reports. - Natalia Viani; Timothy A. Miller; Dmitriy Dligach; Steven Bethard; Carlo Napolitano; Silvia G. Priori; Riccardo Bellazzi; Lucia Sacchi; Guergana K. Savova (AIME, 2017)

DeepPhe - A Natural Language Processing System for Extracting Cancer Phenotypes from Clinical Records. - Guergana Savova; Eugene Tseytlin; Sean Finan; Melissa Castine; Timothy A. Miller; Olga Medvedeva; David Harris 004; Harry Hochheiser; Chen Lin 002; Girish Chavan; Rebecca Jacobson (AMIA, 2017)

Representations of Time Expressions for Temporal Relation Extraction with Convolutional Neural Networks. - Chen Lin 002; Timothy Miller 002; Dmitriy Dligach; Steven Bethard; Guergana Savova (BioNLP, 2017)

Unsupervised Domain Adaptation for Clinical Negation Detection. - Timothy A. Miller; Steven Bethard; Hadi Amiri; Guergana Savova (BioNLP, 2017)

Neural Temporal Relation Extraction. - Dmitriy Dligach; Timothy Miller 002; Chen Lin 002; Steven Bethard; Guergana Savova (EACL (2), 2017)

Repeat before Forgetting: Spaced Repetition for Efficient and Effective Training of Neural Networks. - Hadi Amiri; Timothy Miller 002; Guergana Savova (EMNLP, 2017)

Towards generalizable entity-centric clinical coreference resolution. - Timothy Miller 002; Dmitriy Dligach; Steven Bethard; Chen Lin 002; Guergana Savova (J. Biomed. Informatics, 2017)

Self-training improves Recurrent Neural Networks performance for Temporal Relation Extraction. - Chen Lin 002; Timothy Miller 002; Dmitriy Dligach; Hadi Amiri; Steven Bethard; Guergana Savova (Louhi@EMNLP, 2018)

Depth-bounding is effective: Improvements and Evaluation of Unsupervised PCFG Induction. - Lifeng Jin; Finale Doshi-Velez; Timothy Miller 002; William Schuler; Lane Schwartz (EMNLP, 2018)

Spotting Spurious Data with Neural Networks. - Hadi Amiri; Timothy Miller 002; Guergana Savova (NAACL-HLT, 2018)

Learning Patient Representations from Text. - Dmitriy Dligach; Timothy Miller 002 (*SEM@NAACL-HLT, 2018)

FADL: Federated-Autonomous Deep Learning for Distributed Electronic Health Record. - Dianbo Liu; Timothy Miller 002; Raheel Sayeed; Kenneth D. Mandl (CoRR, 2018)

Unsupervised Grammar Induction with Depth-bounded PCFG. - Lifeng Jin; Finale Doshi-Velez; Timothy Miller 002; William Schuler; Lane Schwartz (Trans. Assoc. Comput. Linguistics, 2018)

Cross-document coreference: An approach to capturing coreference without context. - Kristin Wright-Bettner; Martha Palmer; Guergana Savova; Piet C. de Groen; Timothy Miller 002 (LOUHI@EMNLP, 2019)

Unsupervised Learning of PCFGs with Normalizing Flow. - Lifeng Jin; Finale Doshi-Velez; Timothy Miller 002; Lane Schwartz; William Schuler (ACL (1), 2019)

Towards a Universal Document-Level Clinical Text Encoder: Methods for Neural Network Pre-training with Applications to Substance Misuse. - Dmitriy Dligach; Majid Afshar; Timothy A. Miller (AMIA, 2019)

Two-stage Federated Phenotyping and Patient Representation Learning. - Dianbo Liu; Dmitriy Dligach; Timothy Miller 002 (BioNLP@ACL, 2019)

Simplified Neural Unsupervised Domain Adaptation. - Timothy Miller 002 (NAACL-HLT (1), 2019)

Confederated Machine Learning on Horizontally and Vertically Separated Medical Data for Large-Scale Health System Intelligence. - Dianbo Liu; Tim Miller 002; Kenneth D. Mandl (CoRR, 2019)

Toward a clinical text encoder: pretraining for clinical natural language processing with applications to substance misuse. - Dmitriy Dligach; Majid Afshar; Timothy Miller 002 (J. Am. Medical Informatics Assoc., 2019)

Supervised methods to extract clinical events from cardiology reports in Italian. - Natalia Viani; Timothy A. Miller; Carlo Napolitano; Silvia G. Priori; Guergana K. Savova; Riccardo Bellazzi; Lucia Sacchi (J. Biomed. Informatics, 2019)

Extracting Relations between Radiotherapy Treatment Details. - Danielle S. Bitterman; Timothy Miller 002; David Harris 004; Chen Lin 002; Sean Finan; Jeremy L. Warner; Raymond H. Mak; Guergana Savova (ClinicalNLP@EMNLP, 2020)

Incorporating Risk Factor Embeddings in Pre-trained Transformers Improves Sentiment Prediction in Psychiatric Discharge Summaries. - Xiyu Ding; Mei-Hua Hall; Timothy A. Miller (ClinicalNLP@EMNLP, 2020)

Defining and Learning Refined Temporal Relations in the Clinical Narrative. - Kristin Wright-Bettner; Chen Lin 002; Timothy Miller 002; Steven Bethard; Dmitriy Dligach; Martha Palmer; James H. Martin; Guergana Savova (LOUHI@EMNLP, 2020)

Understanding eConsult Triage Behavior with Natural Language Processing. - Xiyu Ding; Michael L. Barnett; Ateev Mehrotra; Timothy A. Miller (AMIA, 2020)

Learning Patient Representations from Electronic Health Records across Diverse Data Types. - Timothy A. Miller; Dmitriy Dligach; Fei Wang 001; Yuqi Si; Funda Meric-Bernstam (AMIA, 2020)

Deep Representation Learning of Patient Data from Electronic Health Records: A Systematic Review. - Yuqi Si; Jingcheng Du; Zhao Li; Xiaoqian Jiang; Timothy A. Miller; Fei Wang 001; W. Jim Zheng; Kirk Roberts (AMIA, 2020)

Learning Hierarchical Transformer-based Representations of Clinical Notes. - Xin Su 008; Timothy A. Miller; Majid Afshar; Dmitriy Dligach (AMIA, 2020)

A BERT-based One-Pass Multi-Task Model for Clinical Temporal Relation Extraction. - Chen Lin 002; Timothy Miller 002; Dmitriy Dligach; Farig Sadeque; Steven Bethard; Guergana Savova (BioNLP, 2020)

Federated pretraining and fine tuning of BERT using clinical notes from multiple silos. - Dianbo Liu; Tim Miller 002 (CoRR, 2020)

Does BERT need domain adaptation for clinical negation detection? - Chen Lin 002; Steven Bethard; Dmitriy Dligach; Farig Sadeque; Guergana Savova; Timothy A. Miller (J. Am. Medical Informatics Assoc., 2020)

The SMART Cumulus Text-to-FHIR NLP Pipeline. - Timothy A. Miller; Bin Mao; Dan Gottlieb 001; Kenneth D. Mandl (AMIA, 2021)

EntityBERT: Entity-centric Masking Strategy for Model Pretraining for the Clinical Domain. - Chen Lin 002; Timothy Miller 002; Dmitriy Dligach; Steven Bethard; Guergana Savova (BioNLP@NAACL-HLT, 2021)

SemEval-2021 Task 10: Source-Free Domain Adaptation for Semantic Processing. - Egoitz Laparra; Xin Su 008; Yiyun Zhao; Özlem Uzuner; Timothy A. Miller; Steven Bethard (SemEval@ACL/IJCNLP, 2021)

Depth-Bounded Statistical PCFG Induction as a Model of Human Grammar Acquisition. - Lifeng Jin; Lane Schwartz; Finale Doshi-Velez; Timothy Miller 002; William Schuler (Comput. Linguistics, 2021)

Classifying Long Clinical Documents with Pre-trained Transformers. - Xin Su 008; Timothy Miller 002; Xiyu Ding; Majid Afshar; Dmitriy Dligach (CoRR, 2021)

BCH-NLP at BioCreative VII Track 3: medications detection in tweets using transformer networks and multi-task learning. - Dongfang Xu; Shan Chen 004; Timothy Miller 002 (CoRR, 2021)

Pre-training phenotyping classifiers. - Dmitriy Dligach; Majid Afshar; Timothy Miller 002 (J. Biomed. Informatics, 2021)

Deep representation learning of patient data from Electronic Health Records (EHR): A systematic review. - Yuqi Si; Jingcheng Du; Zhao Li; Xiaoqian Jiang; Timothy Miller 002; Fei Wang 001; W. Jim Zheng; Kirk Roberts (J. Biomed. Informatics, 2021)

Summarizing Patients' Problems from Hospital Progress Notes Using Pre-trained Sequence-to-Sequence Models. - Yanjun Gao; Dmitriy Dligach; Timothy Miller 002; Dongfang Xu; Matthew M. Churpek; Majid Afshar (COLING, 2022)

Hierarchical Annotation for Building A Suite of Clinical Natural Language Processing Tasks: Progress Note Understanding. - Yanjun Gao; Dmitriy Dligach; Timothy Miller 002; Samuel Tesch; Ryan Laffin; Matthew M. Churpek; Majid Afshar (LREC, 2022)

Classifying unstructured electronic consult messages to understand primary care physician specialty information needs. - Xiyu Ding; Michael L. Barnett; Ateev Mehrotra; Delphine S. Tuot; Danielle S. Bitterman; Timothy A. Miller (J. Am. Medical Informatics Assoc., 2022)

A scoping review of publicly available language tasks in clinical natural language processing. - Yanjun Gao; Dmitriy Dligach; Leslie Christensen; Samuel Tesch; Ryan Laffin; Dongfang Xu; Timothy Miller 002; Özlem Uzuner; Matthew M. Churpek; Majid Afshar (J. Am. Medical Informatics Assoc., 2022)

Confederated learning in healthcare: Training machine learning models using disconnected data separated by individual, data type and identity for Large-Scale health system Intelligence. - Dianbo Liu; Kathe P. Fox; Griffin M. Weber; Tim Miller 002 (J. Biomed. Informatics, 2022)

A simple neural vector space model for medical concept normalization using concept embeddings. - Dongfang Xu; Timothy Miller 002 (J. Biomed. Informatics, 2022)

Multi-Task Training with In-Domain Language Models for Diagnostic Reasoning. - Brihat Sharma; Yanjun Gao; Timothy Miller 002; Matthew M. Churpek; Majid Afshar; Dmitriy Dligach (ClinicalNLP@ACL, 2023)

Improving the Transferability of Clinical Note Section Classification Models with BERT and Large Language Model Ensembles. - Weipeng Zhou; Majid Afshar; Dmitriy Dligach; Yanjun Gao; Timothy A. Miller (ClinicalNLP@ACL, 2023)

Two-Stage Fine-Tuning for Improved Bias and Variance for Large Pretrained Language Models. - Lijing Wang 001; Yingya Li; Timothy Miller 002; Steven Bethard; Guergana Savova (ACL (1), 2023)

Overview of the Problem List Summarization (ProbSum) 2023 Shared Task on Summarizing Patients' Active Diagnoses and Problems from Electronic Health Record Progress Notes. - Yanjun Gao; Dmitriy Dligach; Timothy Miller 002; Majid Afshar (BioNLP@ACL, 2023)

End-to-end clinical temporal information extraction with multi-head attention. - Timothy Miller 002; Steven Bethard; Dmitriy Dligach; Guergana Savova (BioNLP@ACL, 2023)

Natural language processing to automatically extract the presence and severity of esophagitis in notes of patients undergoing radiotherapy. - Shan Chen 004; Marco Guevara; Nicolas Ramirez; Arpi Murray; Jeremy L. Warner; Hugo J. W. L. Aerts; Timothy A. Miller; Guergana K. Savova; Raymond H. Mak; Danielle S. Bitterman (CoRR, 2023)

Overview of the Problem List Summarization (ProbSum) 2023 Shared Task on Summarizing Patients' Active Diagnoses and Problems from Electronic Health Record Progress Notes. - Yanjun Gao; Dmitriy Dligach; Timothy Miller 002; Matthew M. Churpek; Majid Afshar (CoRR, 2023)

Leveraging A Medical Knowledge Graph into Large Language Models for Diagnosis Prediction. - Yanjun Gao; Ruizhe Li 001; John R. Caskey; Dmitriy Dligach; Timothy Miller 002; Matthew M. Churpek; Majid Afshar (CoRR, 2023)

Considerations for health care institutions training large language models on electronic health records. - Weipeng Zhou; Danielle S. Bitterman; Majid Afshar; Timothy A. Miller (CoRR, 2023)

The impact of using an AI chatbot to respond to patient messages. - Shan Chen 004; Marco Guevara; Shalini Moningi; Frank Hoebers; Hesham Elhalawani; Benjamin H. Kann; Fallon E. Chipidza; Jonathan Leeman; Hugo J. W. L. Aerts; Timothy A. Miller; Guergana K. Savova; Raymond H. Mak; et al. (CoRR, 2023)

Automatic Extraction of Medication Mentions from Tweets - Overview of the BioCreative VII Shared Task 3 Competition. - Davy Weissenbacher; Karen O'Connor; Siddharth Rawal; Yu Zhang 202; Richard Tzong-Han Tsai; Timothy Miller 002; Dongfang Xu; Carol Anderson; Bo Liu; Qing Han; Jinfeng Zhang; Igor Kulev; et al. (Database J. Biol. Databases Curation, 2023)

DR.BENCH: Diagnostic Reasoning Benchmark for Clinical Natural Language Processing. - Yanjun Gao; Dmitriy Dligach; Timothy Miller 002; John R. Caskey; Brihat Sharma; Matthew M. Churpek; Majid Afshar (J. Biomed. Informatics, 2023)

Progress Note Understanding - Assessment and Plan Reasoning: Overview of the 2022 N2C2 Track 3 shared task. - Yanjun Gao; Dmitriy Dligach; Timothy Miller 002; Matthew M. Churpek; Özlem Uzuner; Majid Afshar (J. Biomed. Informatics, 2023)

Representing and utilizing clinical textual data for real world studies: An OHDSI approach. - Vipina Kuttichi Keloth; Juan M. Banda; Michael J. Gurley; Paul M. Heider; Georgina Kennedy; Hongfang Liu; Feifan Liu; Timothy Miller 002; Karthik Natarajan; Olga V. Patterson; Yifan Peng 002; Kalpana Raja; et al. (J. Biomed. Informatics, 2023)

Improving model transferability for clinical note section classification models using continued pretraining. - Weipeng Zhou; Meliha Yetisgen; Majid Afshar; Yanjun Gao; Guergana Savova; Timothy A. Miller (J. Am. Medical Informatics Assoc., 2023)

When Raw Data Prevails: Are Large Language Model Embeddings Effective in Numerical Data Representation for Medical Machine Learning Applications? - Yanjun Gao; Skatje Myers; Shan Chen 004; Dmitriy Dligach; Timothy A. Miller; Danielle S. Bitterman; Matthew M. Churpek; Majid Afshar (EMNLP (Findings), 2024)

Improving Clinical NLP Performance through Language Model-Generated Synthetic Clinical Data. - Shan Chen 004; Jack Gallifant; Marco Guevara; Yanjun Gao; Majid Afshar; Timothy Miller 002; Dmitriy Dligach; Danielle S. Bitterman (CoRR, 2024)

Position Paper On Diagnostic Uncertainty Estimation from Large Language Models: Next-Word Probability Is Not Pre-test Probability. - Yanjun Gao; Skatje Myers; Shan Chen 004; Dmitriy Dligach; Timothy A. Miller; Danielle S. Bitterman; Guanhua Chen; Anoop M. Mayampurath; Matthew M. Churpek; Majid Afshar (CoRR, 2024)

Automated stratification of trauma injury severity across multiple body regions using multi-modal, multi-class machine learning models. - Jifan Gao; Guanhua Chen; Ann P. O'Rourke; John R. Caskey; Kyle A. Carey; Madeline Oguss; Anne Stey; Dmitriy Dligach; Timothy Miller 002; Anoop M. Mayampurath; Matthew M. Churpek; Majid Afshar (J. Am. Medical Informatics Assoc., 2024)

Cumulus: a federated electronic health record-based learning system powered by Fast Healthcare Interoperability Resources and artificial intelligence. - Andrew J. McMurry; Daniel Gottlieb 001; Timothy A. Miller; James R. Jones; Ashish Atreja; Jennifer Crago; Pankaja M. Desai; Brian E. Dixon; Matthew Garber; Vladimir Ignatov; Lyndsey A Kirchner; Philip R. O. Payne; et al. (J. Am. Medical Informatics Assoc., 2024)

Do They Really Know? Evaluating Large Language Models' Ability to Reference and Cite Oncology Guidelines. - Pietro Belligoli; Danielle S. Bitterman; Timothy A. Miller (AIME (2), 2025)

Lessons learned on information retrieval in electronic health records: a comparison of embedding models and pooling strategies. - Skatje Myers; Timothy A. Miller; Yanjun Gao; Matthew M. Churpek; Anoop M. Mayampurath; Dmitriy Dligach; Majid Afshar (J. Am. Medical Informatics Assoc., 2025)

LCD benchmark: long clinical document benchmark on mortality prediction for language models. - Wonjin Yoon; Shan Chen 004; Yanjun Gao; Zhanzhan Zhao; Dmitriy Dligach; Danielle S. Bitterman; Majid Afshar; Timothy A. Miller (J. Am. Medical Informatics Assoc., 2025)

Identifying task groupings for multi-task learning using pointwise V-usable information. - Yingya Li; Timothy A. Miller; Steven Bethard; Guergana Savova (J. Biomed. Informatics, 2025)

Aspect-Oriented Summarization for Psychiatric Short-Term Readmission Prediction. - Wonjin Yoon; Boyu Ren; Spencer Thomas; Chanwhi Kim; Guergana Savova; Mei-Hua Hall; Timothy Miller 002 (CoRR, 2025)

Using tournaments to calculate AUROC for zero-shot classification with LLMs. - Wonjin Yoon; Ian Bulovic; Timothy A. Miller (CoRR, 2025)

Evaluating Retrieval-Augmented Generation vs. Long-Context Input for Clinical Reasoning over EHRs. - Skatje Myers; Dmitriy Dligach; Timothy A. Miller; Samantha Barr; Yanjun Gao; Matthew M. Churpek; Anoop M. Mayampurath; Majid Afshar (CoRR, 2025)