Notice: This website is continuously updated as new conference proceedings and journal volumes are published. Consequently, the figures presented here may differ from those reported in our publications.
A brief overview of our methodology is provided on the Methods page, along with references to publications documenting our approach and links to the code and data used in each study.
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.
Mechanism Design for Strategic Project Scheduling
Authors: Pradeep Varakantham, Na Fu
IJCAI 2017 | Venue PDF | LLM Run Details | Input Tokens: 15,789 Total number of tokens sent to the LLM as input for this paper's analysis. | Output Tokens: 3,732 Total number of tokens produced by the LLM (including reasoning/thinking tokens) for this paper's analysis.
| Reproducibility Variable | Result | LLM Response |
|---|---|---|
| Research Type | Theoretical | We make three key contributions with respect to designing mechanisms for the strategic RCPSP: (i) We formally deο¬ne the strategic model and its objective. (ii) We then show that the well known VCG mechanism is not incentive compatible for the strategic RCPSP. (iii) Finally, we provide two mechanisms that build on VCG, namely SCP and ICP with strong theoretical properties. |
| Researcher Affiliation | Academia | Pradeep Varakantham and Na Fu School of Information Systems, Singapore Management University EMAIL, EMAIL |
| Pseudocode | Yes | Table 1: ALLOCPOS() |
| Open Source Code | No | The paper does not provide any statements or links indicating that open-source code for the methodology is available. |
| Open Datasets | No | This is a theoretical paper focused on mechanism design and does not involve training models on a dataset. |
| Dataset Splits | No | This is a theoretical paper focused on mechanism design and does not involve dataset validation splits. |
| Hardware Specification | No | The paper is theoretical and does not describe any specific hardware used for experiments. |
| Software Dependencies | No | The paper mentions that the model 'can be solved using solvers like CPLEX' but does not specify any version numbers for CPLEX or other software dependencies required for reproducibility. |
| Experiment Setup | No | The paper is theoretical and does not describe an experimental setup with specific hyperparameters or system-level settings. |