Abstract Intent classification and sentiment analysis stand as pivotal tasks in natural language processing, with applications ranging from virtual assistants to customer service. The advent of ...

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In addition, the vision transformer only considers the class token output by the last layer in the encoders when predicting the category, ignoring the information of other layers. We use a Layer-wise ...

Large language models (LLMs) have changed the game for machine translation (MT). LLMs vary in architecture, ranging from decoder-only designs to encoder-decoder frameworks. Encoder-decoder models, ...

ModernBERT, like BERT, is an encoder-only model. Encoder-only models have the characteristic of outputting a 'list of numbers (embedding vector)', which means that they literally encode human ...

Non-autoregressive automatic speech recognition (NASR) models have gained attention due to their parallelism and fast inference. The encoder-based NASR, e.g. connectionist temporal classification (CTC ...