Reproducibility Report for the Paper: “Sense, Think, Act, Reflect: Distilling Fast and Interpretable Decision Functions from LLM-Driven Crowds”
Abstract
This report evaluates the artifacts associated with the article “Sense, Think, Act, Reflect: Distilling Fast and Interpretable Decision Functions from LLM-Driven Crowds”. The authors provided their code and instructions to reproduce the results presented in their paper on a permanent repository hosted at Zenodo. The evaluation was conducted on a Linux machine with an AMD EPYC 9754 128-Core Processor, 768 GiB RAM, and an NVIDIA RTX A5000 GPU (24 GB). Since the proposed approach is very computationally expensive, the results were not reproduced, and not all artifacts were tested for functionality. Thus, the paper receives the Artifacts Available badge.
Fields of Study & Subjects
Scientific Computing and Data Management
Software System Performance and Reliability
Mobile Crowdsensing and Crowdsourcing
Publication details
- Journal / source
- ACM Transactions on Modeling and Computer Simulation
- Publisher
- Association for Computing Machinery (ACM)
- Volume
- 36
- Issue
- 4
- Pages
- 1–4
- Publication date
- 29 July 2026
- Language
- EN