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..
Voting with Preference Intensities
Authors: Anson Kahng, Mohamad Latifian, Nisarg Shah
AAAI 2023 | Venue PDF | LLM Run Details
| Reproducibility Variable | Result | LLM Response |
|---|---|---|
| Research Type | Theoretical | We design near-optimal voting rules which aggregate such preference rankings with intensities using the recently-popular distortion framework. We also show that traditional voting rules, which aggregate preference rankings while ignoring (or not eliciting) intensities, can incur significant welfare loss. |
| Researcher Affiliation | Academia | Anson Kahng1, Mohamad Latifian2, Nisarg Shah2 1 University of Rochester 2 University of Toronto EMAIL, EMAIL, EMAIL |
| Pseudocode | No | Not found. The paper does not contain any pseudocode or algorithm blocks. |
| Open Source Code | No | Not found. The paper is theoretical and does not mention providing open-source code for its methodology or analysis. |
| Open Datasets | No | Not applicable. The paper is theoretical and does not involve datasets or empirical evaluation. |
| Dataset Splits | No | Not applicable. The paper is theoretical and does not involve datasets or empirical evaluation. |
| Hardware Specification | No | Not applicable. The paper is theoretical and does not describe computational experiments that would require specific hardware. |
| Software Dependencies | No | Not applicable. The paper is theoretical and does not describe computational experiments that would require specific software dependencies with version numbers. |
| Experiment Setup | No | Not applicable. The paper is theoretical and does not describe any experimental setup or hyperparameters. |