Lin, Stephanie

TruthfulQA: Measuring How Models Mimic Human Falsehoods

Lin, S., Hilton, J., & Evans, O. (2022) · Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)

Misinformation and Its ImpactsTopic Modeling

Cited by 904

TruthfulQA: Measuring How Models Mimic Human Falsehoods

Lin, S., Hilton, J., & Evans, O. (2021) · arXiv

Misinformation and Its ImpactsTopic Modeling

Cited by 899

Beyond the Imitation Game: Quantifying and extrapolating the capabilities of language models

Srivastava, A., Rastogi, A., Rao, A., Shoeb, A. A. M., Abid, A., Fisch, A., Brown, A. R., Santoro, A., Gupta, A., Garriga-Alonso, A., et al. (2022) · arXiv

Topic ModelingNatural Language Processing Techniques

Cited by 569

Evolution of symptom burden of advanced lung cancer over a decade

Sung, M. R., Patel, M. V., Djalalov, S., Le, L. W., Shepherd, F. A., Burkes, R. L., Feld, R., Lin, S., Tudor, R., & Leighl, N. B. (2017) · Clinical Lung Cancer

Cancer survivorship and carePalliative Care and End-of-Life Issues

Cited by 98

Risk Factors, Etiologies, and Screening Tools for Sepsis in Pregnant Women: A Multicenter Case-Control Study

Bauer, M. E., Housey, M., Bauer, S. T., Behrmann, S., Chau, A., Clancy, C., Clark, E. A. S., Einav, S., Langen, E., Leffert, L., et al. (2019) · Anesthesia & Analgesia

Sepsis Diagnosis and TreatmentNeonatal and Maternal Infections

Cited by 89

Teaching Models to Express Their Uncertainty in Words

Lin, S., Hilton, J., & Evans, O. (2022) · arXiv

Adversarial Robustness in Machine LearningTopic Modeling

Cited by 59

Curiosity Notebook: A Platform for Learning by Teaching Conversational Agents

Law, E., Baghaei Ravari, P., Chhibber, N., Kulic, D., Lin, S., Pantasdo, K. D., Ceha, J., Suh, S., & Dillen, N. (2020) · Extended Abstracts of the 2020 CHI Conference on Human Factors in Computing Systems

Intelligent Tutoring Systems and Adaptive LearningSocial Robot Interaction and HRI

Cited by 28