2 papers
cs.CL2026
Easy to Complete, Hard to Choose: Investigating LLM Performance on the ProverbIT Benchmark
Enrico Mensa, Lorenzo Zane, Calogero Jerik Scozzaro +3
Large Language Models (LLMs) have transformed computational linguistics and achieved remarkable performance across numerous natural language processing tasks, yet significant gaps…
cs.HC2020
Map-Based Visualization of 2D/3D Spatial Data via Stylization and Tuning of Information Emphasis
Liliana Ardissono, Matteo Delsanto, Maurizio Lucenteforte +3
In Geographical Information search, map visualization can challenge the user because results can consist of a large set of heterogeneous items, increasing visual complexity. We pro…