Traditional machine learning models for automatic information classification require retraining data for each task. Researchers at University of Tsukuba have demonstrated that art data can be ...

Researchers demonstrate that large language models (LLMs) can classify artwork types with high accuracy using zero-shot learning, reducing the need for costly manual data labeling.

To address this, researchers applied a technique known as "zero-shot classification," which leverages a large language model (LLM) to classify data without the need for pre-prepared training data.

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Abstract: Despite remarkable advancements in recent voice conversion (VC) systems, enhancing speaker similarity in zero-shot scenarios remains challenging. This challenge arises from the difficulty of ...

Abstract: Zero-shot Human-Object Interaction (HOI) detection aims to identify both seen and unseen HOI categories in an image. Most existing methods rely on semantic knowledge distilled from CLIP to ...

BBC has introduced a captivating new offering for fans of whodunnits with their latest Agatha Christie adaptation Towards ...

Traditional machine learning models for automatic information classification require retraining data for each task. Researchers at the University of Tsukuba have demonstrated that art data can be ...

Nagpur: A 30-year-old chef of a 5-star hotel in the city was arrested on Monday for flashing in the presence of women on a ...