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20232025
most citedUsing Large Language Models to Accelerate Communication for Users with Severe Motor Impairments

2 citations · 2 across the 7 of their papers we have counts for

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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★ 2 cited

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…