Selecting the Most Conflicting Pair of Candidates
Authors: Théo Delemazure, Łukasz Janeczko, Andrzej Kaczmarczyk, Stanisław Szufa
IJCAI 2024 | Conference PDF | Archive PDF | Plain Text | LLM Run Details
| Reproducibility Variable | Result | LLM Response |
|---|---|---|
| Research Type | Experimental | We support our theoretical study with experiments on both real-life and synthetic data. |
| Researcher Affiliation | Academia | 1CNRS, LAMSADE, Université Paris Dauphine PSL 2AGH University |
| Pseudocode | No | The paper does not contain structured pseudocode or algorithm blocks. |
| Open Source Code | Yes | The experiments source code is freely available at https://github.com/Project-PRAGMA/conflictual-rules--IJCAI-24. |
| Open Datasets | Yes | We study 4 datasets: (i) preferences over 11 candidates gathered for experiments during French presidential elections in 2017 and 2022 [Bouveret et al., 2018; Delemazure and Bouveret, 2022], [...] (ii) preferences over 10 sushi types [Kamishima, 2003] and (iii) juries ranking of contestant performances in figure skating competitions, from Preflib [Mattei and Walsh, 2013] |
| Dataset Splits | No | The paper describes generating profiles and simulating rules on them, but it does not specify explicit train/validation/test dataset splits with percentages, sample counts, or predefined citations in the traditional machine learning sense. |
| Hardware Specification | No | The paper does not explicitly describe the specific hardware (e.g., GPU models, CPU types, memory amounts) used to run its experiments. |
| Software Dependencies | No | The paper does not provide specific software dependencies, such as library names with version numbers, needed to replicate the experiment. |
| Experiment Setup | Yes | For each instance, we marked on the plane the two selected candidates, highlighting the pairs for three random instances for reference. [...] This way, we always generated the same number n = 100 of voters and m = 10 of candidates. For each generated profile, we simluated our rules. Then, we compared the values of the select pairs polarization metrics... We repeated this experiment for 1000 random profiles. [...] We sampled the positions on [0, 1]2 of all voters and candidates using: (1) the uniform distribution and (2) the normal distribution centered in (0.5, 0.5). |