Andrew Mattarella-Micke

Andrew Mattarella-Micke has 2 papers in our library, in 2020–2021, most of them on Language models & pretraining; often with Mohit Iyyer, Adam Trischler, Alessandro Sordoni.

2 papers in our library · 2020–2021

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Exploring and Predicting Transferability across NLP Tasks (2020 · 192 citations)
Fine-tuning BERT on an intermediate task before the target task can help, but it was unclear when this works and which source task to pick.
Do Long-Range Language Models Actually Use Long-Range Context? (2021 · 100 citations)
Long-range Transformer language models can now read thousands of tokens of preceding text, and they reach lower perplexity on benchmarks such as PG-19.

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Papers of our library cite their works 152 times (of the 141,840 papers whose bibliographies we read); 19 citing papers with a page here →.

Updated 24 October 2026