2 papers
cs.AI2026
Large Language Models as Oracles for Ontology Alignment
Sviatoslav Lushnei, Dmytro Shumskyi, Severyn Shykula +2
There are many methods and systems to tackle the ontology alignment problem, yet a major challenge persists in producing high-quality mappings among a set of input ontologies. Adop…
cs.LG2026
Just on Time: Token-Level Early Stopping for Diffusion Language Models
Zahar Kohut, Zakhar Kohut, Severyn Shykula +8
Diffusion language models generate text through iterative refinement, a process that is often computationally inefficient because many tokens reach stability long before the final…