CITATION.cff

title: nih-dmp-llm-evaluation-paper-code
authors:
  - given-names: Nahid
    family-names: Zeinali
    email: nzeinali@calmi2.org
    affiliation: FAIR Data Innovations Hub, California Medical Innovations Institute
  - given-names: Bhavesh
    family-names: Patel
    email: bpatel@calmi2.org
    affiliation: FAIR Data Innovations Hub, California Medical Innovations Institute
cff-version: 1.2.0
message: If you use this software, please cite it using the metadata from this file.
type: software
abstract: Large language models are increasingly used to draft NIH Data
  Management Plans (DMPs), but their quality and policy alignment require
  careful evaluation. This repository contains the code for our systematic
  assessment of Llama 3.3 and GPT-4.1 using both automated metrics and human
  expert review. See the project inventory for related resources, including the
  paper and dataset.
keywords:
  - LLM
  - DMPs
  - NIH
  - evaluation
  - FAIR Data Innovations Hub
license: MIT
repository-code: https://github.com/fairdataihub/nih-dmp-llm-evaluation-paper-code