39 citations · 46 across the 17 of their papers we have counts for
3 papers · 1 filter
Multi-Task Pre-Finetuning of Lightweight Transformer Encoders for Text Classification and NER
Junyi Zhu, Savas Ozkan, Andrea Maracani +3
Deploying natural language processing (NLP) models on mobile platforms requires models that can adapt across diverse applications while remaining efficient in memory and computatio…
Model Merging and Safety Alignment: One Bad Model Spoils the Bunch
Hasan Abed Al Kader Hammoud, Umberto Michieli, Fabio Pizzati +4
Merging Large Language Models (LLMs) is a cost-effective technique for combining multiple expert LLMs into a single versatile model, retaining the expertise of the original ones. H…
HOP to the Next Tasks and Domains for Continual Learning in NLP
Umberto Michieli, Mete Ozay
Continual Learning (CL) aims to learn a sequence of problems (i.e., tasks and domains) by transferring knowledge acquired on previous problems, whilst avoiding forgetting of past o…