Balancing accuracy and efficiency: Evaluating encoder-and decoder-based models for word sense disambiguation and regular polysemy detection
On a large-scale all-words WSD task, the encoder model not only outperformed the decoder model but also generated substantially lower carbon emissions – an eight-fold reduction.
Pin-Er Chen, Da-Chen Lian, Shu-Kai Hsieh
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