Author

Parker Seegmiller

Observed name: Seegmiller, Parker

ORCID: 0000-0001-6783-9773

Observed ORCID: 0000-0001-6783-9773

OpenAlex ID: A5035716941

Identifying the Perceived Severity of Patient-Generated Telemedical Queries Regarding COVID: Developing and Evaluating a Transfer Learning–Based Solution

2022 · Joseph Gatto, Parker Seegmiller, et al. · JMIR Medical Informatics · 10

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Follow-up Question Generation For Enhanced Patient-Provider Conversations

2025 · Joseph Gatto, Parker Seegmiller, et al. · Proceedings of the conference - Association for Computational Linguistics. Meeting · 7

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Document-Level Event-Argument Data Augmentation for Challenging Role Types

2025 · Joseph Gatto, Omar Sharif, et al. · Proceedings of the conference - Association for Computational Linguistics. Meeting · 3

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The Amazon Nova Family of Models: Technical Report and Model Card

2025 · AGI, Amazon, Langford, Aaron, et al. · arXiv (Cornell University) · 2

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Medical Triage as Pairwise Ranking: A Benchmark for Urgency in Patient Portal Messages

2026 · Gatto, Joseph, Seegmiller, Parker, et al. · arXiv (Cornell University) · 1

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How Much Would a Clinician Edit This Draft? Evaluating LLM Alignment for Patient Message Response Drafting

2026 · Seegmiller, Parker, Gatto, Joseph, et al. · arXiv (Cornell University) · 1

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In-Context Learning for Preserving Patient Privacy: A Framework for Synthesizing Realistic Patient Portal Messages

2024 · Gatto, Joseph, Seegmiller, Parker, et al. · arXiv (Cornell University) · 1

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Text Encoders Lack Knowledge: Leveraging Generative LLMs for Domain-Specific Semantic Textual Similarity

2023 · Gatto, Joseph, Sharif, Omar, et al. · arXiv (Cornell University) · 1

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The Scope of In-Context Learning for the Extraction of Medical Temporal Constraints

2023 · Parker Seegmiller, Joseph Gatto, et al. · IEEE International Conference on Healthcare Informatics (ICHI) · 1

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HealthE: Recognizing Health Advice & Entities in Online Health Communities

2023 · Joseph Gatto, Parker Seegmiller, et al. · Proceedings of the International AAAI Conference on Web and Social Media · 1

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HealthE: Classifying Entities in Online Textual Health Advice

2022 · Gatto, Joseph, Seegmiller, Parker, et al. · arXiv (Cornell University) · 1

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Characterizing Patient Portal Usage and Implications: A Data-driven Analysis on a Rural Population (Preprint)

2026 · Roshnik Rahat, Jialin Yang, et al.

PortalEvent: An Event-Based Ontology for Patient-Initiated Portal Communication

2026 · Joseph Gatto, Jialin Yang, et al. · medRxiv

Measuring Distribution Shift in User Prompts and Its Effects on LLM Performance

2026 · Association for Computational Linguistics 2026, Masud Preum, Sarah, et al. · Underline Science Inc.

How Much Would a Clinician Edit This Draft? Evaluating LLM Alignment for Patient Message Response Drafting

2026 · Association for Computational Linguistics 2026, Belise Isingizwe, Ganza, et al. · Underline Science Inc.

Measuring Distribution Shift in User Prompts and Its Effects on LLM Performance

2026 · Seegmiller, Parker, Preum, Sarah Masud · arXiv (Cornell University)

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Measuring Distribution Shift in User Prompts and Its Effects on LLM Performance

2026 · Parker Seegmiller, Sarah Masud Preum · Proceedings of the conference - Association for Computational Linguistics. Meeting

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How Much Would a Clinician Edit This Draft? Evaluating LLM Alignment for Patient Message Response Drafting

2026 · Parker Seegmiller, Joseph Gatto, et al. · Proceedings of the conference - Association for Computational Linguistics. Meeting

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Follow-up Question Generation For Enhanced Patient-Provider Conversations

2025 · Gatto, Joseph, Seegmiller, Parker, et al. · arXiv (Cornell University)

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FLAMES: Improving LLM Math Reasoning via a Fine-Grained Analysis of the Data Synthesis Pipeline

2025 · Parker Seegmiller, Kartik Mehta, et al. · Findings of the Association for Computational Linguistics: EMNLP (Findings of EMNLP)

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Depth $F_1$: Improving Evaluation of Cross-Domain Text Classification by Measuring Semantic Generalizability

2024 · Seegmiller, Parker, Gatto, Joseph, et al. · arXiv (Cornell University)

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Do LLMs Find Human Answers To Fact-Driven Questions Perplexing? A Case Study on Reddit

2024 · Seegmiller, Parker, Gatto, Joseph, et al. · arXiv (Cornell University)

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Large Language Models for Document-Level Event-Argument Data Augmentation for Challenging Role Types

2024 · Gatto, Joseph, Seegmiller, Parker, et al. · arXiv (Cornell University)

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Medical Temporal Constraint Extraction Dataset

2023 · Seegmiller, Parker, Preum, Sarah Masud · Zenodo (CERN European Organization for Nuclear Research)

ActSafe: Predicting Violations of Medical Temporal Constraints for Medication Adherence

2023 · Seegmiller, Parker, Gatto, Joseph, et al. · arXiv (Cornell University)

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Works count: 33

Citation count: 29

H-index: 3

I10-index: 1