Computer Science

Recalibrating Machine Learning for Social Biases

Language Science Lunch Talk: Marine Carpuat (CS)

Word Sense Disambiguation Improves Statistical Machine Translation

Language Science Lunch Talk: Rachel Rudinger (CS)

LSLT: Upon Reflection. This semester, we've asked presenters to give reflective talks about their (or others') prominent work from the past. How did they understand the question then, and how do they see it now? See the full lineup here! Lunch will be served starting at 12:15. Vegetarian options available. Let us know if you have other dietary restrictions!

LSLT: Jordan Boyd-Graber Ying (CS/UMIACS/LSC)

LSLT: Upon Reflection. This semester, we've asked presenters to give reflective talks about their most prominent work from the past. How did they understand the question then, and how do they see it now? See the full lineup here! Lunch will be served starting at 12:15. Vegetarian options available. Let us know if you have other dietary restrictions!

This week: Jordan Boyd-Graber, Associate Professor in Computer Science, UMIACS, and LSC

CLIP Colloquium: Dhanya Sridhar (Université de Montréal, MILA)

Title and abstract TBA.

CLIP Colloquium: Eunsol Choi (UT Austin)

Title/abstract TBA.

CLIP Colloquium: Daniel Khashabi (JHU)

Ailments of Alignment: Hurdles in Adapting Large Language Models to Human Demands

CLIP Colloquium: Claire Bonial (Army Research Lab)

Title and abstract TBA.

CLIP Colloquium: Daniel Low (Harvard, MIT)

Details TBA

CLIP Colloquium: Antonios Anastasopoulos (GMU)