Similar to BERT and GPT2, massive pre-trained encoder-decoder models have shown to significantly boost performance on a variety of sequence-to-sequence tasks Lewis et al. (2019), Raffel et al. (2019).

Abstract: Improving anomaly detection accuracy in time series data is essential for the operation of communication networks. Encoder-decoder models, which learn the correlations within the data, have ...

Apple’s new M5 iPad Pro may look identical across configurations, but performance is not uniform. Under the hood, memory and CPU core counts vary by model, and those differences can directly impact ...

I want to evaluate models like ModernBERT, Llama and many others on SuperGLUE and my own benchmark. In my setting, every model has to be fine-tuned for the specific task, even decoder models. Is this ...

Encoder models like BERT and RoBERTa have long been cornerstones of natural language processing (NLP), powering tasks such as text classification, retrieval, and toxicity detection. However, while ...

Qualcomm and Nokia Bell Labs showed how multiple-vendor AI models can work together in an interoperable way in wireless networks. Carl Nuzman, Bell Labs Fellow at Nokia Bell Labs and Rachel Wang, ...