The study focuses on the use of pre-trained language models for text-to-code generation. The researchers explore how sequence tokens can be adapted and represented differently depending on their modality. They…
Continue readingThis article introduces a system for real-time and continuous turn-taking prediction in spoken dialogue systems (SDSs). The system is based on a model called voice activity projection (VAP), which maps…
Continue readingThe study presents a methodology for the ‘Nuanced Arabic Dialect Identification (NADI) Shared Task 2023’. It focuses on country-level dialect identification, which is crucial for various Natural Language Processing (NLP)…
Continue readingThis research presents an approach to improve human action recognition using knowledge distillation, and the combination of Convolutional Neural Networks (CNN) and Vision Transformer (ViT) models. The aim is to…
Continue readingIn the field of video recognition, achieving high performance usually entails significant computational costs. The proposed Video-FocalNets effectively merges the efficiency of convolutional designs with the global context modeling of…
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