Xiang Lorraine Li
@xianglli.bsky.social
AP @ University of Pittsburgh CS
PhD from UMass Amherst
she/her.
PhD from UMass Amherst
she/her.
Reposted by Xiang Lorraine Li
Assuming we make it through the next couple of decades, this will be an incredible image for future historians/students of the Trump era
January 30, 2025 at 9:56 PM
Assuming we make it through the next couple of decades, this will be an incredible image for future historians/students of the Trump era
We accept papers on diverse topics. Here are a few examples, but there are more... 👀
1. Efficient learning of representations.
2. Investigating training representation dynamics.
3. Understanding the relationship between representations and model behaviors.
1. Efficient learning of representations.
2. Investigating training representation dynamics.
3. Understanding the relationship between representations and model behaviors.
Disappointed with #ICLR or #NAACL reviews? Consider submitting your work at #Repl4NLP, whether it's full papers, extended abstracts, or cross-submissions. 🔥
Details on submissions 👉 sites.google.com/view/repl4nl...
⏰ Deadline January 30
Details on submissions 👉 sites.google.com/view/repl4nl...
⏰ Deadline January 30
10th Workshop on Representation Learning for NLP - Call for Papers
The 10th Workshop on Representation Learning for NLP (RepL4NLP 2025), co-located with NAACL 2025 in Albuquerque, New Mexico, invites papers of a theoretical or experimental nature describing recent ad...
sites.google.com
January 23, 2025 at 4:55 PM
We accept papers on diverse topics. Here are a few examples, but there are more... 👀
1. Efficient learning of representations.
2. Investigating training representation dynamics.
3. Understanding the relationship between representations and model behaviors.
1. Efficient learning of representations.
2. Investigating training representation dynamics.
3. Understanding the relationship between representations and model behaviors.