Building factorial prompt matrices using query targets and configurable factor classes: A methods framework for conversational AI response behavior research

Kevin Corti, Meghan Leaver

Open source

DOI
10.1016/j.mex.2026.104062
Published
2026-12
Container
MethodsX
Publisher
Elsevier BV
Open access
unknown

Credibility signals

uncertain Score 64/100 under policy 1.0.0. This is a metadata assessment, not a judgment of the paper's conclusions.

Show all credibility signals

Cite this work

BibTeX

@article{allodium:10.1016/j.mex.2026.104062,
  title = {Building factorial prompt matrices using query targets and configurable factor classes: A methods framework for conversational AI response behavior research},
  author = {Kevin Corti and Meghan Leaver},
  year = {2026},
  journal = {MethodsX},
  doi = {10.1016/j.mex.2026.104062},
  url = {https://doi.org/10.1016/j.mex.2026.104062}
}

RIS

TY  - JOUR
TI  - Building factorial prompt matrices using query targets and configurable factor classes: A methods framework for conversational AI response behavior research
AU  - Kevin Corti
AU  - Meghan Leaver
PY  - 2026
JO  - MethodsX
DO  - 10.1016/j.mex.2026.104062
UR  - https://doi.org/10.1016/j.mex.2026.104062
ER  - 

APA

Corti, K., & Leaver, M. (2026). Building factorial prompt matrices using query targets and configurable factor classes: A methods framework for conversational AI response behavior research. MethodsX. https://doi.org/10.1016/j.mex.2026.104062

Source records