Tootfinder

The Tournament Tree Method for preference elicitation in Multi-criteria decision-making
Diego Garc\'ia-Zamora, \'Alvaro Labella, Jos\'e Rui Figueira
https://arxiv.org/abs/2510.08197

The Tournament Tree Method for preference elicitation in Multi-criteria decision-making
Pairwise comparison methods, such as Fuzzy Preference Relations and Saaty's Multiplicative Preference Relations, are widely used to model expert judgments in multi-criteria decision-making. However, their application is limited by the high cognitive load required to complete $m(m-1)/2$ comparisons, the risk of inconsistency, and the computational complexity of deriving consistent value scales. This paper proposes the Tournament Tree Method (TTM), a novel elicitation and evaluation framework tha…

AI-Assisted Music Production: A User Study on Text-to-Music Models
Francesca Ronchini, Luca Comanducci, Simone Marcucci, Fabio Antonacci
https://arxiv.org/abs/2509.23364 https:/…

AI-Assisted Music Production: A User Study on Text-to-Music Models
Text-to-music models have revolutionized the creative landscape, offering new possibilities for music creation. Yet their integration into musicians workflows remains underexplored. This paper presents a case study on how TTM models impact music production, based on a user study of their effect on producers creative workflows. Participants produce tracks using a custom tool combining TTM and source separation models. Semi-structured interviews and thematic analysis reveal key challenges, opport…