Parameter Efficient Tuning Allows Scalable Personalization of LLMs for Text Entry: A Case Study on Abbreviation Expansion

21 December 2023

Papers citing "Parameter Efficient Tuning Allows Scalable Personalization of LLMs for Text Entry: A Case Study on Abbreviation Expansion"

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Title
Adaptive Self-Supervised Learning Strategies for Dynamic On-Device LLM Personalization Rafael Mendoza Isabella Cruz Richard Liu Aarav Deshmukh David Williams Jesscia Peng Rohan Iyer 18 0 0 25 Sep 2024
The Power of Scale for Parameter-Efficient Prompt Tuning Brian Lester Rami Al-Rfou Noah Constant VPVLM 278 3,784 0 18 Apr 2021