Notice: The reproducibility variables underlying each score are classified using an automated LLM-based pipeline, validated against a manually labeled dataset. LLM-based classification introduces uncertainty and potential bias; scores should be interpreted as estimates. Full accuracy metrics and methodology are described in Coakley et alK. L. Coakley, T. Snelleman, H. Hoos, and O. E. Gundersen, "The embrace of open science: An analysis of a decade of AI research and 56 800 conference papers," Under Review, 2026..
Selecting the Most Conflicting Pair of Candidates
Authors: Théo Delemazure, Łukasz Janeczko, Andrzej Kaczmarczyk, Stanisław Szufa
IJCAI 2024 | Venue PDF | 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). |