2 papers
cs.AI2026
BoxLitE: A Faithful Knowledge Base Embedding Based on Convex Optimization
Bruno F. Lourenço, Hesham Morgan, Ana Ozaki +2
Knowledge base (KB) embeddings aim at combining the capability of classical knowledge graph embeddings to generalize the information present in facts, the ABox, with conceptual kno…
cs.CL2026
Linear-Time and Constant-Memory Text Embeddings Based on Recurrent Language Models
Tobias Grantner, Emanuel Sallinger, Martin Flechl
Transformer-based embedding models suffer from quadratic computational and linear memory complexity, limiting their utility for long sequences. We propose recurrent architectures a…