Skill it! A Data-Driven Skills Framework for Understanding and Training Language Models

Speaker: Mayee Chen, PhD Student, Stanford University,

Bio: Mayee Chen is a PhD student in the Computer Science department at Stanford University advised by Professor Christopher Ré. She is interested in understanding and improving how models learn from data. Recently, she has focused on problems in data selection, data labeling, and data representations, especially in the setting where there exist multiple input signals or objectives. Previously, she graduated summa cum laude from Princeton University with a concentration in Operations Research …

bio chen computer computer science data data-driven framework language language models learn phd professor science skills speaker stanford stanford university training understanding university