Publications

Research across language, AI, and society.

Selected publications in natural language processing, model evaluation, computational social science, and public health.

2026

Same Meaning, Different Wording: Evaluating Paraphrase Robustness in Financial Natural Language Inference

Yike Li and Adam Poliak

Student lab member: Yike Li

Workshop on Financial Technology and Natural Language Processing

2025

Biases in Large Language Model-Elicited Text: A Case Study in Natural Language Inference

Grace Proebsting and Adam Poliak

Student lab member: Grace Proebsting

Proceedings of the 31st International Conference on Computational Linguistics (COLING)

2025

Growing Health Concern Regarding Gambling Addiction in the Age of Sportsbooks

Atharva Yeola, Matthew R. Allen, Nimit Desai, Adam Poliak, Kevin H. Yang, Davey M. Smith, and John W. Ayers

JAMA Internal Medicine

2025

BrynMawrNLP @ SMM4H-HeaRD 2025: Stacking RoBERTa with Naive Bayes to Identify Personal Shingles Vaccine Reactions on Reddit

Joon Luther and Adam Poliak

Student lab member: Joon Luther

Social Media Mining for Health / Health Real-World Data (SMM4H-HeaRD)

2024

Pharmacovigilance in the Age of Legalized Cannabis: Using Social Media to Monitor Drug–Drug Interactions Between Immunosuppressants and Cannabis-Derived Products

Matthew R. Allen, Gwenyth Portillo Wightman, Zechariah Zhu, Adam Poliak, Davey M. Smith, Mark Dredze, and John W. Ayers

2024

A Digital Cohort Approach for Social Media Monitoring: A Cohort Study of People Who Vape E-Cigarettes

John W. Ayers, Adam Poliak, Nikolas T. Beros, Michael Paul, Mark Dredze, Michael Hogarth, and Davey M. Smith

American Journal of Preventive Medicine

2023

Evaluating Artificial Intelligence Responses to Public Health Questions

John W. Ayers, Zechariah Zhu, Adam Poliak, Eric C. Leas, Mark Dredze, Michael Hogarth, and Davey M. Smith

JAMA Network Open

2023

Evaluating Paraphrastic Robustness in Textual Entailment Models

Dhruv Verma, Yash Kumar Lal, Shreyashee Sinha, Benjamin Van Durme, and Adam Poliak

Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (ACL)

2023

Comparing Physician and Artificial Intelligence Chatbot Responses to Patient Questions Posted to a Public Social Media Forum

John W. Ayers, Adam Poliak, Mark Dredze, Eric C. Leas, Zechariah Zhu, Jessica B. Kelley, Dennis J. Faix, Aaron M. Goodman, Christopher A. Longhurst, Michael Hogarth, and Davey M. Smith

JAMA Internal Medicine

2022

Internet Searches for Abortion Medications Following the Leaked Supreme Court of the United States Draft Ruling

Adam Poliak, Nora Satybaldiyeva, Steffanie A. Strathdee, Eric C. Leas, Ramesh Rao, Davey M. Smith, and John W. Ayers

JAMA Internal Medicine

2022

On Gender Biases in Offensive Language Classification Models

Sanjana Marcé and Adam Poliak

Student lab member: Sanjana Marcé

Proceedings of the 4th Workshop on Gender Bias in Natural Language Processing

2021

Figurative Language in Recognizing Textual Entailment

Tuhin Chakrabarty, Debanjan Ghosh, Adam Poliak, and Smaranda Muresan

Findings of the Association for Computational Linguistics: ACL-IJCNLP

2021

Discovering Changes in Birthing Narratives During COVID-19

Daphna Spira, Noreen Mayat, Caitlin Dreisbach, and Adam Poliak

Student lab member: Daphna Spira Student lab member: Noreen Mayat

Fifth Widening NLP Workshop (WiNLP) at EMNLP

2021

Characterizing Test Anxiety on Social Media

Esha Julka, Olivia Kowalishin, Jalisha B. Jenifer, and Adam Poliak

Student lab member: Esha Julka Student lab member: Olivia Kowalishin

Fifth Widening NLP Workshop (WiNLP) at EMNLP

2021

Fine-tuning Transformers for Identifying Self-Reporting Potential Cases and Symptoms of COVID-19 in Tweets

Max Fleming, Priyanka Dondeti, Caitlin Dreisbach, and Adam Poliak

Student lab member: Max Fleming

Proceedings of the Sixth Social Media Mining for Health Workshop and Shared Task