Tag: semantic embeddings

Researchers developed Temporal Semantic Language Model to predict missing facts in evolving knowledge graphs by converting quadruples into time-ordered text ...

Researchers have introduced SARP, a semantic-augmented reinforcement planning framework that improves mobile robot obstacle avoidance and path optimization in dynamic ...

A new semantic-guided graph attention framework improves rating prediction and ranking on Amazon cross-domain recommendation pairs while showing controlled but ...

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

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

A new Riemannian framework called HyperSpectrum Geometry lets text classifiers bend the curvature of their semantic space, revealing that emotionally ...

A new commentary argues that large language models can reconstruct the statistical architecture of psychiatric questionnaires from wording alone, suggesting ...

A new mathematical framework called Prompt Algebra models prompts as composable operators in the latent semantic space of large language ...