11 citations · 12 across the 3 of their papers we have counts for
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cs.CL2024★ 11 cited
Investigating Text Shortening Strategy in BERT: Truncation vs Summarization
Mirza Alim Mutasodirin, Radityo Eko Prasojo
The parallelism of Transformer-based models comes at the cost of their input max-length. Some studies proposed methods to overcome this limitation, but none of them reported the ef…
cs.CL2024★ 1 cited
Simple Hack for Transformers against Heavy Long-Text Classification on a Time- and Memory-Limited GPU Service
Mirza Alim Mutasodirin, Radityo Eko Prasojo, Achmad F. Abka +1
Many NLP researchers rely on free computational services, such as Google Colab, to fine-tune their Transformer models, causing a limitation for hyperparameter optimization (HPO) in…