Picking the Right Winner: Why Tie-Breaking in Crowdsourcing Contests Matters
Authors: Coral Haggiag, Sigal Oren, Ella Segev
IJCAI 2022 | Conference PDF | Archive PDF | Plain Text | LLM Run Details
| Reproducibility Variable | Result | LLM Response |
|---|---|---|
| Research Type | Theoretical | We present a complete information game-theoretic model for crowdsourcing contests. |
| Researcher Affiliation | Academia | Coral Haggiag , Sigal Oren and Ella Segev Ben-Gurion University of the Negev coralhag@post.bgu.ac.il, sigal3@gmail.com, ellasgv@bgu.ac.il |
| Pseudocode | No | The paper describes algorithms and computational procedures in prose (e.g., 'a polynomial-time algorithm', 'binary search algorithm') but does not provide structured pseudocode or algorithm blocks. |
| Open Source Code | No | The paper does not provide any information about the availability of open-source code for the methodology described. |
| Open Datasets | No | This is a theoretical paper that presents a game-theoretic model and mathematical analysis, and as such, it does not involve training on datasets. |
| Dataset Splits | No | This is a theoretical paper focused on game-theoretic modeling and analysis, and thus it does not involve dataset splits for validation. |
| Hardware Specification | No | This paper focuses on theoretical modeling and analysis of crowdsourcing contests and does not describe any computational experiments that would require hardware specifications. |
| Software Dependencies | No | As a theoretical paper, it does not involve software implementation details or dependencies that would require specific version numbers. |
| Experiment Setup | No | This paper presents a theoretical game-theoretic model and analysis, and thus does not include details about an experimental setup, hyperparameters, or training settings. |