2 papers
cs.CL2023
Parameter Efficient Tuning Allows Scalable Personalization of LLMs for Text Entry: A Case Study on Abbreviation Expansion
Katrin Tomanek, Shanqing Cai, Subhashini Venugopalan
Abbreviation expansion is a strategy used to speed up communication by limiting the amount of typing and using a language model to suggest expansions. Here we look at personalizing…
cs.HC2023
Using Large Language Models to Accelerate Communication for Users with Severe Motor Impairments
Shanqing Cai, Subhashini Venugopalan, Katie Seaver +13
Finding ways to accelerate text input for individuals with profound motor impairments has been a long-standing area of research. Closing the speed gap for augmentative and alternat…