Tag: natural language processing

A new survey argues that data, not model architecture, is the decisive factor in the success of natural language to ...

Researchers at the Norwegian University of Science and Technology have developed two new explainability methods that integrate transformer attention weights ...

A comprehensive new survey maps how large language models learn to plan, select, execute, and integrate external tools, charting the ...

A University at Albany platform called the Research Highlighter-MatchMaker Project uses natural language processing to match researchers with funding opportunities ...

Researchers have developed EDIRL, an adaptive relation linking method that boosts multihop question answering over knowledge graphs by choosing between ...

A new framework called MR-UIE trains large language models to reason from multiple perspectives before extracting structured information, setting new ...

A new context-aware semantic similarity method substantially improves unsupervised word sense disambiguation without requiring annotated training data.

Researchers in Morocco have developed IACAN, a deep learning architecture that dynamically balances convolutional and attention branches using KL divergence ...

Researchers have built a hybrid deep learning model combining BiLSTM, Transformer and 1D CNN components that detects AI-generated text with ...

A harmonised benchmark of lexical models, biomedical transformers and retrieval-grounded large language models shows that internal test scores fail to ...