Mario Mina — accepted AI-conference papers

2025

Cognitive Biases, Task Complexity, and Result Intepretability in Large Language Models

Mario Mina, Valle Ruiz-Fernández, Júlia Falcão, Luis Vasquez-Reina, Aitor Gonzalez-Agirre

COLING 2025main

In humans, cognitive biases are systematic deviations from rationality in judgment that simplify complex decisions. They typically manifest as a consequence of learned behaviors or limitations on information processing capabilities. Recent work has shown that these biases can percolate through train…

Cited by 2 Source ↗PDF ↗Scholar ↗

2024

A CURATEd CATalog: Rethinking the Extraction of Pretraining Corpora for Mid-Resourced Languages

Jorge Palomar-Giner, Jose Javier Saiz, Ferran Espuña, Mario Mina, Severino Da Dalt, Joan Llop +5

COLING 2024main

We present and describe two language resources in this paper: CATalog 1.0, the largest text corpus in Catalan to date, and CURATE (Corpus Utility for RAting TExt), a modular, parallelizable pipeline used for processing and scoring documents based on text quality that we have optimised to run in High…

Cited by 6 Source ↗PDF ↗code ↗Scholar ↗