Deep learning (DL) is revolutionizing evidence-based decision-making techniques that can
be applied across various sectors. Specifically, it possesses the ability to utilize two or more …

Learning from human feedback has been shown to be effective at aligning language models
with human preferences. Past work has often relied on Reinforcement Learning from Human …

Given a language model (LM), maximum probability is a poor decoding objective for open-
ended generation, because it produces short and repetitive text. On the other hand …

Large-scale Transformer-based models trained for generation tasks (eg, GPT-3) have
recently attracted huge interest, emphasizing the need for system support for serving models …

Unlike previous studies on the Metaverse based on Second Life, the current Metaverse is
based on the social value of Generation Z that online and offline selves are not different …

This paper studies a simple extension of image-based Masked Autoencoders (MAE) to self-
supervised representation learning from audio spectrograms. Following the Transformer …