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.
Online Influence Maximization under Linear Threshold Model
Authors: Shuai Li, Fang Kong, Kejie Tang, Qizhi Li, Wei Chen
NeurIPS 2020 | Venue PDF | LLM Run Details | Input Tokens: 18,899 Total number of tokens sent to the LLM as input for this paper's analysis. | Output Tokens: 4,067 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 | This is the first theoretical result in such order for OIM under the LT model. |
| Researcher Affiliation | Collaboration | 1Shanghai Jiao Tong University 2Microsoft Research |
| Pseudocode | Yes | Algorithm 1 LT-Lin UCB; Algorithm 2 OIM-ETC |
| Open Source Code | No | The paper does not provide concrete access to source code for the methodology described. |
| Open Datasets | No | The paper is theoretical and does not mention using any specific dataset for training or provide access information for one. |
| Dataset Splits | No | The paper is theoretical and does not provide specific dataset split information for validation. |
| Hardware Specification | No | The paper is theoretical and does not provide specific hardware details used for running experiments. |
| Software Dependencies | No | The paper is theoretical and does not provide specific ancillary software details with version numbers. |
| Experiment Setup | No | The paper is theoretical and does not contain specific experimental setup details. |