3 papers
cs.LG2026
Incremental Graph Construction Enables Robust Spectral Clustering of Texts
Marko PranjiÄ, Boshko Koloski, Nada LavraÄ +2
Neighborhood graphs are a critical but often fragile step in spectral clustering of text embeddings. On realistic text datasets, standard -NN graphs can contain many disconnecte…
cs.CL2025
Tracking Semantic Change in Slovene: A Novel Dataset and Optimal Transport-Based Distance
Marko PranjiÄ, Kaja Dobrovoljc, Senja Pollak +1
In this paper, we focus on the detection of semantic changes in Slovene, a less resourced Slavic language with two million speakers. Detecting and tracking semantic changes provide…
cs.CL2024
Transformer verbatim in-context retrieval across time and scale
Kristijan Armeni, Marko PranjiÄ, Senja Pollak
To predict upcoming text, language models must in some cases retrieve in-context information verbatim. In this report, we investigated how the ability of language models to retriev…