CLSP Spring Seminar Series: Cindy Wang

Description

Xinyi "Cindy" Wang, a research scientist at Google DeepMind, will present a Center for Language and Speech Processing seminar titled "Building Data-Efficient and Reliable Applications with Large Language Models."

Abstract:

Large Language Models (LLMs) have demonstrated remarkable capabilities across various domains. However, it is still very challenging to build highly reliable applications with LLMs that support specialized use cases. LLMs trained on web data often excel at capturing general language patterns, but they could struggle to support specialized domains and personalized user needs. Moreover, LLMs can produce errors that are deceptively plausible, making them potentially dangerous for high-trust scenarios. In this talk, I will discuss some of our recent efforts in addressing these challenges with data-efficient tuning methods and a novel factuality evaluation framework. Specifically, my talk will focus on building multilingual applications, one crucial use case often characterized by limited tuning and evaluation data.