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..
Sequential Strategic Screening
Authors: Lee Cohen, Saeed Sharifi -Malvajerdi, Kevin Stangl, Ali Vakilian, Juba Ziani
ICML 2023 | Venue PDF | LLM Run Details
| Reproducibility Variable | Result | LLM Response |
|---|---|---|
| Research Type | Theoretical | This work is primarily theoretical. |
| Researcher Affiliation | Academia | 1Toyota Technological Institute at Chicago, Chicago, IL, USA 2H. Milton Stewart School of Industrial and Systems Engineering, Georgia Institute of Technology, Atlanta, Georgia, USA. |
| Pseudocode | No | The paper does not contain structured pseudocode or algorithm blocks clearly labeled as such. It describes algorithms and optimization problems in prose and mathematical formulations. |
| Open Source Code | No | The paper does not provide concrete access to source code (no specific repository link, explicit code release statement, or mention of code in supplementary materials) for the methodology described. |
| Open Datasets | No | The paper is theoretical and does not conduct experiments on a specific dataset. Therefore, it does not provide concrete access information for a publicly available or open dataset. |
| Dataset Splits | No | The paper is theoretical and does not conduct experiments on a specific dataset. Therefore, it does not provide specific dataset split information for training, validation, or testing. |
| Hardware Specification | No | The paper is theoretical and does not describe computational experiments. Therefore, no specific hardware details are provided. |
| Software Dependencies | No | The paper is theoretical and does not describe an implementation requiring specific software dependencies with version numbers. |
| Experiment Setup | No | The paper is theoretical and does not describe empirical experiments or specific experimental setup details with concrete hyperparameter values or training configurations. |