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cs.CL2023★ 1 cited
EMBRACE: Evaluation and Modifications for Boosting RACE
Mariia Zyrianova, Dmytro Kalpakchi, Johan Boye
When training and evaluating machine reading comprehension models, it is very important to work with high-quality datasets that are also representative of real-world reading compre…
cs.CL2023
SweCTRL-Mini: a data-transparent Transformer-based large language model for controllable text generation in Swedish
Dmytro Kalpakchi, Johan Boye
We present SweCTRL-Mini, a large Swedish language model that can be used for inference and fine-tuning on a single consumer-grade GPU. The model is based on the CTRL architecture b…