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..
Well-Structured Committees
Authors: Sushmita Gupta, Pallavi Jain, Saket Saurabh
IJCAI 2020 | Venue PDF | LLM Run Details
| Reproducibility Variable | Result | LLM Response |
|---|---|---|
| Research Type | Theoretical | We study the parameterized complexity of the corresponding combinatorial problems and discuss certain implications of our algorithmic results. |
| Researcher Affiliation | Academia | 1National Institute of Science Education and Research (NISER), HBNI, India 2Ben-Gurion University of the Negev, Israel, 3The Institute of Mathematical Sciences, HBNI, India, 4University of Bergen, Norway |
| Pseudocode | No | The paper describes algorithms (e.g., in the proofs of theorems) but does not provide structured pseudocode blocks or sections labeled "Algorithm". |
| Open Source Code | No | The paper does not mention providing open-source code for the described methodology. |
| Open Datasets | No | The paper is theoretical and does not involve dataset training. No information about public datasets, links, or citations for such use is provided. |
| Dataset Splits | No | The paper is theoretical and does not involve data splits for validation. No information about dataset splits is provided. |
| Hardware Specification | No | The paper is theoretical and does not mention any specific hardware used for computations or experiments. |
| Software Dependencies | No | The paper is theoretical and does not mention any specific software dependencies or their version numbers. |
| Experiment Setup | No | The paper is theoretical and does not describe an experimental setup with hyperparameters or training configurations. |