Tag: BERT

A new survey in Artificial Intelligence Review provides the first comprehensive map of language modeling for tabular data, tracing the ...

Researchers have unveiled SENNA, a framework that combines disentangled semantic representations with large language models to generate synthetic tabular data ...

A new hybrid deep learning model tuned by a snake-inspired optimization algorithm achieves 98.13 percent accuracy in classifying sentiment from ...

Researchers decoded nearly 7,000 historical Central European reports of thunderstorms and hail dating back to the year 1000 and trained ...

Researchers in South Korea have developed RECUR, a retrieval-based framework using nonparametric masked language modeling that outperforms conventional methods in ...

Researchers at Xinjiang Agricultural University have shown that a training-free, temperature-controlled nonlinear transformation of contextual similarity scores allows BERT to ...

A new study shows that fine-tuning large language models substantially outperforms prompting and classical baselines for detecting which group online ...

A large-scale computational study using four BERT-based emotion classifiers reveals that sarcasm carries a stable negative emotional signature while metaphors ...

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