8 citations · 15 across the 4 of their papers we have counts for
Showing 2022 · cs.CLShow all
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cs.CL2022★ 2 cited
Parallel Context Windows for Large Language Models
Nir Ratner, Yoav Levine, Yonatan Belinkov +7
When applied to processing long text, Large Language Models (LLMs) are limited by their context window. Existing efforts to address this limitation involve training specialized arc…
cs.CL2022★ 1 cited
Fewer Errors, but More Stereotypes? The Effect of Model Size on Gender Bias
Yarden Tal, Inbal Magar, Roy Schwartz
The size of pretrained models is increasing, and so is their performance on a variety of NLP tasks. However, as their memorization capacity grows, they might pick up more social bi…
cs.CL2022
Data Contamination: From Memorization to Exploitation
Inbal Magar, Roy Schwartz
Pretrained language models are typically trained on massive web-based datasets, which are often "contaminated" with downstream test sets. It is not clear to what extent models expl…