Student Seminar – Brian Lu
Abstract Large language models (LLMs) have ushered in exciting capabilities in language understanding and text generation, with systems like ChatGPT holding fluent dialogs with users and being almost indistinguishable from humans. While this has obviously[…]
Abstract Machine Translation has the ultimate goal of eliminating language barriers. However, the area has focused mainly on a few languages, leaving many low-resource languages without support. In this talk, I will discuss the challenges[…]
Abstract Advances in open domain Large Language Models (LLMs) starting with BERT and more recently with GPT-4, PaLM, and LLaMA have facilitated dramatic improvements in conversational systems. These improvements include an unprecedented breadth of conversational[…]
Learning How to Play With The Machines: Taking Stock of Where the Collaboration Between Computational and Social Science Stands Speakers: Jeff Gill, Ernesto Calvo, Hale Sirin and Antonios Anastasopoulos