20 citations · 21 across the 3 of their papers we have counts for
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cs.CL2025
ComMer: a Framework for Compressing and Merging User Data for Personalization
Yoel Zeldes, Amir Zait, Ilia Labzovsky +2
Large Language Models (LLMs) excel at a wide range of tasks, but adapting them to new data, particularly for personalized applications, poses significant challenges due to resource…
cs.CL2022★ 20 cited
Standing on the Shoulders of Giant Frozen Language Models
Yoav Levine, Itay Dalmedigos, Ori Ram +10
Huge pretrained language models (LMs) have demonstrated surprisingly good zero-shot capabilities on a wide variety of tasks. This gives rise to the appealing vision of a single, ve…
cs.CL2020★ 1 cited
Technical Report: Auxiliary Tuning and its Application to Conditional Text Generation
Yoel Zeldes, Dan Padnos, Or Sharir +1
We introduce a simple and efficient method, called Auxiliary Tuning, for adapting a pre-trained Language Model to a novel task; we demonstrate this approach on the task of conditio…