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..
Online Roommate Allocation Problem
Authors: Guangda Huzhang, Xin Huang, Shengyu Zhang, Xiaohui Bei
IJCAI 2017 | Venue PDF | LLM Run Details
| Reproducibility Variable | Result | LLM Response |
|---|---|---|
| Research Type | Theoretical | We study the online allocation problem... We first show a polynomial-time online algorithm that achieves a constant competitive ratio for social welfare maximization. We then extend it... Finally, we show both positive and negative results in satisfying various stability conditions in this online setting. |
| Researcher Affiliation | Academia | 1,4School of Physical and Mathematical Sciences, Nanyang Technological University 2,3Department of Computer Science and Engineering, The Chinese University of Hong Kong |
| Pseudocode | Yes | Algorithm 1 ONLINEMATCHING(n, R) |
| Open Source Code | No | The paper does not provide any concrete access information for source code. |
| Open Datasets | No | The paper is theoretical and does not involve the use of datasets for training. |
| Dataset Splits | No | The paper is theoretical and does not involve dataset splits for validation. |
| Hardware Specification | No | The paper is theoretical and does not provide any specific hardware details used for running experiments. |
| Software Dependencies | No | The paper is theoretical and does not list any software dependencies with specific version numbers. |
| Experiment Setup | No | The paper is theoretical and does not contain specific experimental setup details or hyperparameter values. |