42 citations · 69 across the 13 of their papers we have counts for
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cs.LG2023★ 4 cited
Theoretical and Practical Perspectives on what Influence Functions Do
Andrea Schioppa, Katja Filippova, Ivan Titov +1
Influence functions (IF) have been seen as a technique for explaining model predictions through the lens of the training data. Their utility is assumed to be in identifying trainin…
cs.CL2023★ 5 cited
Cross-Lingual Supervision improves Large Language Models Pre-training
Andrea Schioppa, Xavier Garcia, Orhan Firat
The recent rapid progress in pre-training Large Language Models has relied on using self-supervised language modeling objectives like next token prediction or span corruption. On t…