Jennifer C. W. Hu

Effect of Exposure Keratopathy Protocol Implementation on the Incidence of Exposure Keratopathy Across Different Intensive Care Units

Sophie Z. Gu, Justin Cheong, Jennifer C. W. Hu, Sarah N. Yu et autres

PURPOSE: Exposure keratopathy (EK) is a preventable condition commonly affecting critically ill patients. A 2017 to 2018 study at our institution reported high EK incidence across the medical intensive care unit (MICU), neurologic ICU (NICU), and pediatric ICU (PICU). This study reassesses …

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Does including multiple hormones and family context together clarify hormone-behavior associations? A systematic review

Kristine Marceau, Jennifer C. W. Hu, Sohee Lee, Prudence Regacho et autres

The objective of this study was to review the literature to determine whether simultaneously considering the hormonal milieu and the parenting domain of family context clarifies hormone-behavior associations in children and adolescents. We conducted a systematic review of PubMed, Scopus, and Web …

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Update on autoimmune retinopathy: diagnosis and management

Elsayed Elbasiony, Jennifer C. W. Hu, Kenneth Matthew McKay, Lucia Sobrin

PURPOSE OF REVIEW: Autoimmune retinopathy (AIR) is a rare but vision-threatening disorder characterized by retinal damage through humoral or cellular immune mechanisms. The purpose of this review is to summarize our current understanding on imaging, antibody testing, and immunosuppressive therapies for AIR. …

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Privileged Self-Access Matters for Introspection in AI

Siyuan Song, Harvey Lederman, Jennifer C. W. Hu, Kyle Mahowald

Whether AI models can introspect is an increasingly important practical question. But there is no consensus on how introspection is to be defined. Beginning from a recently proposed ''lightweight'' definition, we argue instead for a thicker one. According to our proposal, introspection …

Epiretinal Amniotic Membrane Patch as a Temporary Scaffold for Refractory Macular Hole Closure: A Case Report

Shivesh Shah, William Foulsham, Jia Meng Xu, Luis Martinez-Velazquez et autres

Macular holes are central retinal defects that can severely impair vision. While standard surgical management including pars plana vitrectomy (PPV) and internal limiting membrane (ILM) peeling is highly effective for most macular holes, lower success rates are observed with chronic or large …

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A suite of LMs comprehend puzzle statements as well as humans

Adele Eva Goldberg, Supantho Rakshit, Jennifer C. W. Hu, Kyle Mahowald

Recent claims suggest that large language models (LMs) underperform humans in comprehending minimally complex English statements (Dentella et al., 2024). Here, we revisit those findings and argue that human performance was overestimated, while LLM abilities were underestimated. Using the same stimuli, we …

Language Models Fail to Introspect About Their Knowledge of Language

Siyuan Song, Jennifer C. W. Hu, Kyle Mahowald

There has been recent interest in whether large language models (LLMs) can introspect about their own internal states. Such abilities would make LLMs more interpretable, and also validate the use of standard introspective methods in linguistics to evaluate grammatical knowledge in models …

Orbital and Ocular Venous Congestion: A Rare Manifestation of Hypervascular Paget Disease of the Bone

Melissa Yuan, Carolina A. Chiou, Jennifer C. W. Hu, Seyedeh Maryam Zekavat et autres

A 73-year-old male with a history of incidentally diagnosed Paget disease of bone affecting the skull and left orbit 2 years prior presented with 3 months of vision loss, proptosis, and periorbital swelling of the OS. Examination showed best-corrected Snellen visual acuity …

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One fish, two fish, but not the whole sea: Alignment reduces language models’ conceptual diversity

Sonia K. Murthy, Tomer David Ullman, Jennifer C. W. Hu

Sonia Krishna Murthy, Tomer Ullman, Jennifer Hu. Proceedings of the 2025 Conference of the Nations of the Americas Chapter of the Association for Computational Linguistics: Human Language Technologies (Volume 1: Long Papers). 2025.

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Stickler Syndrome

Jennifer C. W. Hu, Stephen Tsang, Tarun Kumar Sharma, Vlad Diaconita

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Infections in the Adult Solid Organ Transplant Recipient

Jennifer C. W. Hu, Mackenzie H. Holmberg, Rachel Bender Ignacio, Ralph Tayyar

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One fish, two fish, but not the whole sea: Alignment reduces language models' conceptual diversity

Sonia K. Murthy, Tomer David Ullman, Jennifer C. W. Hu

Researchers in social science and psychology have recently proposed using large language models (LLMs) as replacements for humans in behavioral research. In addition to arguments about whether LLMs accurately capture population-level patterns, this has raised questions about whether LLMs capture human-like conceptual …