Past talk · AI/ML Seminar Series
Unlocking Language Models: Controlling LMs to Enable NLP for All
Postdoctoral Researcher, School of Computer Science & Engineering, University of Washington
- Date & time
- Thursday, April 11, 2024 · 11:00 AM
- Location
- Donald Bren Hall 4011
Abstract
Large language models (LLMs) have soared in popularity in recent years, thanks to their ability to generate well-formed natural language answers for a myriad of topics. Despite their astonishing capabilities, they still suffer from various limitations. This talk will focus on two of them: the limited control over LLMs, and their failure to serve users from diverse backgrounds. I will start by presenting my research on controlling and enriching language models through the input (prompting). In the second part, I will introduce a novel algorithmic method to remove protected properties (such as gender and race) from text representations, which is crucial for preserving privacy and promoting fairness. The third part of the talk will focus on my research efforts to develop models that support multiple languages, and the challenges faced when working with languages other than English.
About the speaker
Hila is a postdoctoral researcher at the Paul G. Allen School of Computer Science & Engineering at the University of Washington. Hila's research lies in the intersection of Natural Language Processing, Machine Learning, and AI. In her research, she works towards two main goals: (1) developing algorithms and methods for controlling the model's behavior; (2) making cutting-edge language technology available and fair across speakers of different languages and users of different socio-demographic groups.