1 citations · 1 across the 3 of their papers we have counts for
3 papers
cs.CL2026
How Unlikely Is "Unlikely"? Assessing Verbal Probability Perception Across Large Language Models
Christos Petridis, Konstantinos Pelechrinis, Zoran Obradovic
Large language models increasingly produce and interpret verbal probability expressions, yet whether these expressions carry consistent meaning across models (or match human percep…
cs.LG2026
Lineup Regularized Adjusted Plus-Minus (L-RAPM): Basketball Lineup Ratings with Informed Priors
Christos Petridis, Konstantinos Pelechrinis
Identifying combinations of players (that is, lineups) in basketball - and other sports - that perform well when they play together is one of the most important tasks in sports ana…
cs.LG2024★ 1 cited
Text Classification: Neural Networks VS Machine Learning Models VS Pre-trained Models
Christos Petridis
Text classification is a very common task nowadays and there are many efficient methods and algorithms that we can employ to accomplish it. Transformers have revolutionized the fie…