Ranking Wily People Who Rank Each Other
Authors: Anson Kahng, Yasmine Kotturi, Chinmay Kulkarni, David Kurokawa, Ariel Procaccia
AAAI 2018 | Conference PDF | Archive PDF | Plain Text | LLM Run Details
| Reproducibility Variable | Result | LLM Response |
|---|---|---|
| Research Type | Experimental | Experimental results further support the efficacy and practicability of our algorithms. |
| Researcher Affiliation | Academia | Anson Kahng Computer Science Department Carnegie Mellon University Yasmine Kotturi Human-Computer Interaction Institute Carnegie Mellon University Chinmay Kulkarni Human-Computer Interaction Institute Carnegie Mellon University David Kurokawa Computer Science Department Carnegie Mellon University Ariel D. Procaccia Computer Science Department Carnegie Mellon University |
| Pseudocode | Yes | Algorithm 1: k-PARTITE, Algorithm 2: NAIVE-BIPARTITE, Algorithm 3: COMMITTEE |
| Open Source Code | No | The paper mentions 'Available from http://procaccia.info/research.' which refers to the full version of the paper, but does not explicitly state that the source code for the methodology is provided or link to a code repository. |
| Open Datasets | Yes | The input profiles are generated according to the popular Mallows (1957) model. (Mallows, C. L. 1957. Non-null ranking models. Biometrika 44:114–130.) |
| Dataset Splits | No | The paper describes how input profiles are generated using the Mallows model and provides parameters (n, φ) for the generation, but it does not specify any train/validation/test dataset splits. |
| Hardware Specification | No | The paper mentions running experiments but does not provide specific hardware details such as CPU/GPU models, memory, or cloud instance types. |
| Software Dependencies | No | The paper does not provide specific software dependencies with version numbers (e.g., Python 3.8, PyTorch 1.9). |
| Experiment Setup | Yes | Throughout our experiments, we let k = n/4, n/8 for COMMITTEE and let k = 4, 8 for k-PARTITE. We ran experiments with n {8, 16, 24, 32, 40} players and φ {0, 0.1, 0.3, 0.5, 0.7, 0.9, 1}. |