305 citations · 534 across the 23 of their papers we have counts for
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cs.CL2023★ 1 cited
Continual Learning Under Language Shift
Evangelia Gogoulou, Timothée Lesort, Magnus Boman +1
The recent increase in data and model scale for language model pre-training has led to huge training costs. In scenarios where new data become available over time, updating a model…
cs.CL2023★ 12 cited
Continual Pre-Training of Large Language Models: How to (re)warm your model?
Kshitij Gupta, Benjamin Thérien, Adam Ibrahim +5
Large language models (LLMs) are routinely pre-trained on billions of tokens, only to restart the process over again once new data becomes available. A much cheaper and more effici…