Efficient Multi-Task Auxiliary Learning
This was achieved through pre-training on a large text dataset, then fine-tuning on various downstream tasks. Remarkably, the BERT model outperformed task- ...
Deep Neural Networks for Acoustic Modeling in Speech RecognitionWe start by analyzing how the choice of online algorithms impacts finetuning performance. For this ex- periment, we use either TD3 or TD3-BC as ... hmBERT: Historical Multilingual Language Models for Named Entity ...There are two approaches to fine-tuning a TI model to a TD model. The first approach is to fine-tune the TI model using only the target phrase for which we ... Root Cause Prediction from Log Data using Large Language ModelsThis paper exploits the ability of Symbiotic Evolution (SE), as a generic methodology, to elicit a fuzzy rule-base of the Mamdani-type.
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