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..
Multiple Constraint Acquisition
Authors: Robin Arcangioli, Christian Bessiere, Nadjib Lazaar
IJCAI 2016 | Venue PDF | LLM Run Details
| Reproducibility Variable | Result | LLM Response |
|---|---|---|
| Research Type | Experimental | We made experiments to evaluate the performance of MULTIACQ and its find All Scopes function compared to QUACQ. We also evaluate the version using cut-offs, that we call MACQ-CO (i.e., MULTIAcq with Cuts-Offs). |
| Researcher Affiliation | Academia | Robin Arcangioli, Christian Bessiere, Nadjib Lazaar CNRS, University of Montpellier, France |
| Pseudocode | Yes | Algorithme 1 : MULTIACQ |
| Open Source Code | No | The paper does not provide explicit access to its source code (e.g., a repository link or a statement about code release in supplementary materials). |
| Open Datasets | Yes | CSPLib : a benchmark library for constraints. http://www.csplib.org/, 1999. |
| Dataset Splits | No | The paper describes an active learning process where the system interactively queries the user for examples. It does not define traditional train/validation/test splits for datasets, as examples are generated and classified on the fly during the acquisition process. |
| Hardware Specification | Yes | Our tests were conducted on an 1,6 GHz Intel Core i5 with 4.0GB of RAM (1600 MHz DDR3). |
| Software Dependencies | No | The paper mentions the names of systems like QUACQ, MULTIACQ, and MACQ-CO, and concepts like constraint programming and SAT, but it does not specify any particular software dependencies with version numbers (e.g., specific libraries, compilers, or operating systems). |
| Experiment Setup | Yes | The cutoff on the time between two queries has been set to 5 seconds. This is an acceptable waiting time for a human user. We combine the cutoff technique with a second heuristic based on reordering the variables. |