Program

May 4, 2025

Start Time	End Time	Session
09:00 AM	09:10 AM	Opening Remarks
09:10 AM	10:30 AM	Morning Technical Session

• Jeongwoo Kang, Maximin Coavoux, Didier Schwab and Cédric Lopez: Reassessing Graph Linearization for Sequence-to-sequence AMR Parsing: On the Advantages and Limitations of Triple-Based

• Hannah Cyberey, Yangfeng Ji and David Evans Do Prevalent Bias Metrics Capture Allocational Harms from LLMs?

• Soumen Kumar Mondal, Sayambhu Sen, Abhishek Singhania and Preethi Jyothi Language-Specific Neurons Do Not Facilitate Cross-Lingual Transfer

• Stephanie Schoch and Yangfeng Ji Monte Carlo Sampling for Analyzing In-Context Examples

10:30 AM	11:15 AM	Coffee Break
11:15 AM	12:00 PM	[Invited Talk] Wei Xu: Cultural Bias in Large Language Models
12:00 PM	02:00 PM	Lunch
02:10 PM	03:30 PM	Afternoon Technical Session

• Andrew Koulogeorge, Sean Xie, Saeed Hassanpour and Soroush Vosoughi. Bridging the Faithfulness Gap in Prototypical Models

• Zhengxiang Wang, Jordan Kodner and Owen Rambow. Exploring Limitations of LLM Capabilities with Multi-Problem Evaluation

• Jason Li, Lauren Yraola, Kevin Zhu and Sean O’Brien. Error Reflection Prompting: Can Large Language Models Successfully Understand Errors?

03:30 PM	04:00 PM	Coffee Break
04:00 PM	05:00 PM	Poster Session