Hye Sun Yun
@hyesunyun.bsky.social
PhD candidate in CS at Northeastern University | NLP + HCI for health | she/her 🏃♀️🧅🌈
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
The full paper can be found at arxiv.org/abs/2502.07963
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 […]
khoury.northeastern.edu
August 25, 2025 at 3:36 PM
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
The full paper can be found at arxiv.org/abs/2502.07963
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!
CHI Program Link: programs.sigchi.org/chi/2025/pro...
Looking forward to connecting with you all!
April 29, 2025 at 12:50 AM
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!
CHI Program Link: programs.sigchi.org/chi/2025/pro...
Looking forward to connecting with you all!
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
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...
www.jmir.org
April 1, 2025 at 1:06 AM
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
Reposted by Hye Sun Yun
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! 🙏
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! 🙏
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.
corp.oup.com
March 10, 2025 at 8:00 PM
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! 🙏
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! 🙏
🚨 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
🧵👇
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
🧵👇
February 15, 2025 at 2:34 AM
🚨 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
🧵👇
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
🧵👇