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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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 ...

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, ...

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 ...

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 ...