Tag: transformer models

A new expert-validated dataset provides multi-label artifact annotations for over 20,000 dermoscopic images, exposing the visual noise that undermines AI ...

Researchers at BRAC University developed ClusSumm, a framework combining hierarchical clustering with adaptive transformer models that compresses thousands of MOOC ...

A new hybrid framework called LLMTransRec combines transformer sequence modeling with large language model embeddings to improve recommendations across sparse ...

A new survey from the National University of Defense Technology systematically compares distributed parallelism and memory-saving techniques that make large ...

Researchers converted patent abstracts into semantic embeddings to measure technological similarity between firms and found the resulting network predicts subsequent ...

A new multi-domain Arabic dataset and benchmark shows that deepfake-text detectors excel within familiar domains but falter sharply on government ...

Researchers have unveiled a collaborative encryption framework that trains deep learning models on sensitive data up to three times faster ...

Researchers in India have built a custom fine-tuned BERT-based framework that outperforms classical machine learning, deep learning baselines, and GPT-3.5 ...

A systematic benchmark of classical, transformer-based and foundation AI models finds that a hybrid CNN-foundation-transformer architecture more than doubles the ...

Researchers have built a hybrid LSTM-BiLSTM deep learning model that adapts to seasonal wind patterns and outperforms transformers while using ...