Published February 6, 2026 | Version v1.0.0
Software Open

Code and data for "Fairness Evaluation of Large Language Models in Academic Library Reference Services"

Authors/Creators

  • 1. ROR icon Indiana University
  • 2. ROR icon Montana State University
  • 3. ROR icon Wuhan University
  • 4. ROR icon Guangdong University of Foreign Studies
  • 5. ROR icon San Jose State University
  • 6. ROR icon Macalester College

Description

This record archives a snapshot of the GitHub repository AI4Library/FEP, which provides the code, data artifacts, and results supporting the manuscript “Fairness Evaluation of Large Language Models in Academic Library Reference Services”.

The archive includes:

  • scripts to run the Fairness Evaluation Protocol (FEP) diagnostic classifiers (TF-IDF + logistic regression/MLP/XGBoost) and reproduce analyses,

  • prompt construction and simulation utilities for patron–LLM virtual reference interactions,

  • the processed results files (e.g., probe.json and ablation outputs) and generated artifacts/outputs included in the repository,

  • documentation and dependency specification (README.md, requirements.txt).

Repository URL: https://github.com/AI4Library/FEP

Files

FEP-main.zip

Files (21.6 MB)

Name Size
md5:c50aadb6c738fdaf8e671988f5ae8fd2
21.6 MB Preview Download

Additional details

Related works

Is supplement to
Preprint: arXiv:2507.04224 (arXiv)

Dates

Created
2026-02-06

Software

Repository URL
https://github.com/AI4Library/FEP
Programming language
Python , Shell
Development Status
Active