Hye Sun Yun
@hyesunyun.bsky.social
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PhD candidate in CS at Northeastern University | NLP + HCI for health | she/her 🏃♀️🧅🌈
This is a great follow-up to our recent preprint! This small-scale evaluation introduces a framing-resistant prompt and makes a step toward exploring the mitigation space for the framing sensitivity problem.
add a skeleton here at some point
5 days ago
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Patients ask LLMs medical questions — but how they phrase it matters more than it should. Our new preprint explores how different phrasings of patient health questions can lead to inconsistent conclusions, even with the same evidence. [1/6] Full Paper:
arxiv.org/abs/2604.05051
7 days ago
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Thrilled to share our research showing how LLM models can be influenced by bias from "spun" medical literature is now featured in Northeastern's Khoury news! This shows critical insights as AI enters healthcare. The full paper can be found at
arxiv.org/abs/2502.07963
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As AI expands into medicine, Northeastern study finds AI models influenced by medical bias - Khoury College of Computer Sciences
Humans can be easily influenced by language that is one-sided, especially in complex fields like medicine. But a new Khoury-led study shows that large language models, too, can be tricked […]
https://khoury.northeastern.edu/as-ai-expands-into-medicine-northeastern-study-finds-ai-models-influenced-by-medical-bias/
8 months ago
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I am at CHI this week to present my poster (Framing Health Information: The Impact of Search Methods and Source Types on User Trust and Satisfaction in the Age of LLMs) on Wednesday April 30 CHI Program Link:
programs.sigchi.org/chi/2025/pro...
Looking forward to connecting with you all!
12 months ago
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LLM-based chatbots are changing how people search for health information—but how do users perceive their quality and trustworthiness compared to other online sources? Our survey study explores these questions. Check it out!
www.jmir.org/2025/1/e68560
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Online Health Information–Seeking in the Era of Large Language Models: Cross-Sectional Web-Based Survey Study
Background: As large language model (LLM)–based chatbots such as ChatGPT (OpenAI) grow in popularity, it is essential to understand their role in delivering online health information compared to other...
https://www.jmir.org/2025/1/e68560
about 1 year ago
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reposted by
Hye Sun Yun
Chantal
about 1 year ago
I'm searching for some comp/ling experts to provide a precise definition of “slop” as it refers to text (see:
corp.oup.com/word-of-the-...
) I put together a google form that should take no longer than 10 minutes to complete:
forms.gle/oWxsCScW3dJU...
If you can help, I'd appreciate your input! 🙏
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Oxford Word of the Year 2024 - Oxford University Press
The Oxford Word of the Year 2024 is 'brain rot'. Discover more about the winner, our shortlist, and 20 years of words that reflect the world.
https://corp.oup.com/word-of-the-year/#shortlist-2024
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🚨 Do LLMs fall for spin in medical literature? 🤔 In our new preprint, we find that LLMs are susceptible to biased reporting of clinical treatment benefits in abstracts—more so than human experts. 📄🔍 [1/7] Full Paper:
arxiv.org/abs/2502.07963
🧵👇
about 1 year ago
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