Tag: transformers

A new analysis argues that large language models generate text through automated metaphor, producing texts that orbit their most important ...

A new study systematically tests early, late, and hybrid fusion strategies for combining image and text in AI systems that ...

Researchers in India and Spain show that ensemble machine learning models combined with explainable AI can detect causal relationships in ...

The first comprehensive survey of document shadow removal catalogs nine datasets and 41 studies, mapping the field's evolution from physics-based ...

A systematic review of 90 peer-reviewed studies charts how artificial intelligence is reshaping litigation while exposing persistent challenges in explainability, ...

Researchers have introduced a Riemannian manifold-based loss function that pushes multimodal Transformer models to state-of-the-art accuracy in human activity recognition ...

A new systematic review in Neural Computing and Applications maps the capabilities of modern large language models into six categories ...

A new survey maps how large language models and vision-language models are enabling gloss-free sign language translation to break communication ...

Researchers in China have developed a neighbor-constrained attention framework that improves how artificial intelligence classifies gigapixel whole-slide pathology images by ...

A multimodal AI model called ERF-BA-TFD+ detects and localizes audio-visual deepfakes by cross-reconstructing audio and video features and reasoning over ...