Also at http://dirkhovy.com/
Get valuable feedback on your research paper draft from experienced mentors before the deadline. Don't miss this chance to refine your work!
🔗 Submit here: openreview.net/group?id=eac...
@eaclmeeting
#NLProc
Get valuable feedback on your research paper draft from experienced mentors before the deadline. Don't miss this chance to refine your work!
🔗 Submit here: openreview.net/group?id=eac...
@eaclmeeting
#NLProc
www.cics.umass.edu/about/employ...
I’m happy to answer questions of course, too!
www.cics.umass.edu/about/employ...
I’m happy to answer questions of course, too!
Huge thanks to the organizers and everyone who stopped by our poster/talk!
Huge thanks to the organizers and everyone who stopped by our poster/talk!
Starting with the ✨Best Paper award ✨:
"Infini-gram mini: Exact n-gram Search at the Internet Scale with FM-Index"
by Hao Xu, Jiacheng Liu, Yejin Choi, Noah A. Smith, and Hannaneh Hajishirzi
aclanthology.org/2025.emnlp-m...
1/n
Starting with the ✨Best Paper award ✨:
"Infini-gram mini: Exact n-gram Search at the Internet Scale with FM-Index"
by Hao Xu, Jiacheng Liu, Yejin Choi, Noah A. Smith, and Hannaneh Hajishirzi
aclanthology.org/2025.emnlp-m...
1/n
Personalization up to a Point
🧠 In the context of content moderation, we show that fully personalized models can perpetuate hate speech, and propose a policy-based method to impose legal boundaries.
📍 Hall C | 11:00–12:30
Personalization up to a Point
🧠 In the context of content moderation, we show that fully personalized models can perpetuate hate speech, and propose a policy-based method to impose legal boundaries.
📍 Hall C | 11:00–12:30
📘 Biased Tales
A dataset of 5k short LLM bedtime stories generated across sociocultural axes with an evaluation taxonomy for character-centric attributes and context-centric attributes.
📍 Hall C | 11:00–12:30
📘 Biased Tales
A dataset of 5k short LLM bedtime stories generated across sociocultural axes with an evaluation taxonomy for character-centric attributes and context-centric attributes.
📍 Hall C | 11:00–12:30
Co-DETECT: Collaborative Discovery of Edge Cases in Text Classification
🧩 Co-DETECT – an iterative, human-LLM collaboration framework for surfacing edge cases and refining annotation codebooks in text classification.
📍 Demo Session 2 – Hall C3 | 14:30–16:00
Co-DETECT: Collaborative Discovery of Edge Cases in Text Classification
🧩 Co-DETECT – an iterative, human-LLM collaboration framework for surfacing edge cases and refining annotation codebooks in text classification.
📍 Demo Session 2 – Hall C3 | 14:30–16:00
The “r” in “woman” stands for rights.
💬 We propose a taxonomy of social dynamics in implicit misogyny (EN,IT), auditing 9 LLMs — and they consistently fail. The more social knowledge a message requires, the worse they perform.
📍 Hall C | 12:30–13:30
The “r” in “woman” stands for rights.
💬 We propose a taxonomy of social dynamics in implicit misogyny (EN,IT), auditing 9 LLMs — and they consistently fail. The more social knowledge a message requires, the worse they perform.
📍 Hall C | 12:30–13:30