Jurafsky and Manning at NAACL 2025

Dan Jurafsky and Chris Manning were co-authors on several papers at the 2025 Annual Conference of the Nations of Americas Chapter of the Association for Computational Linguistics (NAACL 2025), which was held on Apr 29-May 4, 2025 in Albuquerque, New Mexico. Their papers are listed below:

• Kristina Gligoric, Tijana Zrnic, Cinoo Lee, Emmanuel Candes, Dan Jurafsky: “Can Unconfident LLM Annotations Be Used for Confident Conclusions?”
• Kaitlyn Zhou, Jena D. Hwang, Xiang Ren, Nouha Dziri, Dan Jurafsky, Maarten Sap: “REL-A.I.: An Interaction-Centered Approach To Measuring Human-LM Reliance”
• Kaitlyn Zhou, Haishan Gao, Sarah Li Chen, Dan Edelstein, Dan Jurafsky, Chen Shani: “Rethinking Word Similarity: Semantic Similarity through Classification Confusion”
• Kaitlyn Zhou, Kristina Gligoric, Myra Cheng, Vyoma Raman, Boluwatife Aminu, Caeley Woo, Michael Brockman, Dan Jurafsky: “Broadening Applications: Grounding LLM Development in Potential User Needs”
• Ananjan Nandi, Christopher D Manning, Shikhar Murty: “Sneaking Syntax into Transformer Language Models with Tree Regularization”
• Joel Niklaus, Lucia Zheng, Arya D. McCarthy, Christopher Hahn, Brian M Rosen, Peter Henderson, Daniel E. Ho, Garrett Honke, Percy Liang, Christopher D Manning: “LawInstruct: A Resource for Studying Language Model Adaptation to the Legal Domain”