Causal datasheet: An approximate guide to practically assess Bayesian networks in the real world. - Bradley Butcher; Vincent S. Huang; Jeremy Reffin; Sema K. Sgaier; Grace Charles; Novi Quadrianto (CoRR, 2020)

Causal Datasheet for Datasets: An Evaluation Guide for Real-World Data Analysis and Data Collection Design Using Bayesian Networks. - Bradley Butcher; Vincent S. Huang; Christopher Robinson; Jeremy Reffin; Sema K. Sgaier; Grace Charles; Novi Quadrianto (Frontiers Artif. Intell., 2021)

Racial Disparities in the Enforcement of Marijuana Violations in the US. - Bradley Butcher; Christopher Robinson; Miri Zilka; Riccardo Fogliato; Carolyn Ashurst; Adrian Weller (AIES, 2022)

A Survey and Datasheet Repository of Publicly Available US Criminal Justice Datasets. - Miri Zilka; Bradley Butcher; Adrian Weller (NeurIPS, 2022)

The Progression of Disparities within the Criminal Justice System: Differential Enforcement and Risk Assessment Instruments. - Miri Zilka; Riccardo Fogliato; Jiri Hron; Bradley Butcher; Carolyn Ashurst; Adrian Weller (FAccT, 2023)

Optimising Human-Machine Collaboration for Efficient High-Precision Information Extraction from Text Documents. - Bradley Butcher; Miri Zilka; Darren Cook; Jiri Hron; Adrian Weller (CoRR, 2023)

Aligning Large Language Models with Counterfactual DPO. - Bradley Butcher (CoRR, 2024)

Precise length control for large language models. - Bradley Butcher; Michael O'Keefe; James Titchener (Nat. Lang. Process. J., 2025)