website: hayoungjung.me
🏦 Location: Hall C
⏲️Time: 11AM-12:30PM
🔗 Paper: aclanthology.org/2025.emnlp-m...
📁 Repo: github.com/hayoungjungg...
🏦 Location: Hall C
⏲️Time: 11AM-12:30PM
🔗 Paper: aclanthology.org/2025.emnlp-m...
📁 Repo: github.com/hayoungjungg...
I will be supervised by @manoelhortaribeiro.bsky.social and affiliated with Princeton CITP.
It's only been a month, but the energy feels amazing —very grateful for such a welcoming community. Excited for what’s ahead! 🚀
I will be supervised by @manoelhortaribeiro.bsky.social and affiliated with Princeton CITP.
It's only been a month, but the energy feels amazing —very grateful for such a welcoming community. Excited for what’s ahead! 🚀
In a new paper, we introduce Bonsai, a tool to create feeds based on stated preferences, rather than predicted engagement.
arxiv.org/abs/2509.10776
In a new paper, we introduce Bonsai, a tool to create feeds based on stated preferences, rather than predicted engagement.
arxiv.org/abs/2509.10776
To understand the scale of such misinformation, our #EMNLP2025 paper introduces MythTriage, a scalable system to detect OUD myth🧵
To understand the scale of such misinformation, our #EMNLP2025 paper introduces MythTriage, a scalable system to detect OUD myth🧵
"Unstructured Evidence Attribution for Long Context Query Focused Summarization"
w/ @zainmujahid.me , Lu Wang, @iaugenstein.bsky.social , and @davidjurgens.bsky.social
"Unstructured Evidence Attribution for Long Context Query Focused Summarization"
w/ @zainmujahid.me , Lu Wang, @iaugenstein.bsky.social , and @davidjurgens.bsky.social
We’re a group of researchers at Princeton studying how people could more easily build their own feeds.
Join our study to try it out and tell us what you think of the experience!
👉 Sign up at forms.gle/MkSGKzxDfBEc... (takes less than 1 min)
We’re a group of researchers at Princeton studying how people could more easily build their own feeds.
Join our study to try it out and tell us what you think of the experience!
👉 Sign up at forms.gle/MkSGKzxDfBEc... (takes less than 1 min)
In our #icwsm '25 paper w/ @prerna6.bsky.social @tanumitra.bsky.social, we found bots in SA received significantly more misinfo in top-10 search results, which accounts for 95% of user traffic
In our #icwsm '25 paper w/ @prerna6.bsky.social @tanumitra.bsky.social, we found bots in SA received significantly more misinfo in top-10 search results, which accounts for 95% of user traffic
In our #icwsm '25 paper w/ @prerna6.bsky.social @tanumitra.bsky.social, we found bots in SA received significantly more misinfo in top-10 search results, which accounts for 95% of user traffic