Regional data exchange to improve care for veterans after non-VA hospitalization: a randomized controlled trial. - Brian E. Dixon; Ashley L. Schwartzkopf; Vivian M. Guerrero; Justine May; Nicholas S. Koufacos; Andrew M. Bean; Joan D. Penrod; Cathy C. Schubert; Kenneth S. Boockvar (BMC Medical Informatics Decis. Mak., 2019)

The Past, Present and Better Future of Feedback Learning in Large Language Models for Subjective Human Preferences and Values. - Hannah Kirk; Andrew M. Bean; Bertie Vidgen; Paul Röttger; Scott Hale (EMNLP, 2023)

Casteist but Not Racist? Quantifying Disparities in Large Language Model Bias between India and the West. - Khyati Khandelwal; Manuel Tonneau; Andrew M. Bean; Hannah Rose Kirk; Scott A. Hale (CoRR, 2023)

Exploring the Landscape of Large Language Models In Medical Question Answering: Observations and Open Questions. - Karolina Korgul; Andrew M. Bean; Felix Krones; Robert McCraith; Adam Mahdi (CoRR, 2023)

Indian-BhED: A Dataset for Measuring India-Centric Biases in Large Language Models. - Khyati Khandelwal; Manuel Tonneau; Andrew M. Bean; Hannah Rose Kirk; Scott A. Hale (GoodIT, 2024)

LINGOLY: A Benchmark of Olympiad-Level Linguistic Reasoning Puzzles in Low Resource and Extinct Languages. - Andrew M. Bean; Simi Hellsten; Harry Mayne; Jabez Magomere; Ethan Chi; Ryan Chi; Scott Hale; Hannah Rose Kirk (NeurIPS, 2024)

The PRISM Alignment Dataset: What Participatory, Representative and Individualised Human Feedback Reveals About the Subjective and Multicultural Alignment of Large Language Models. - Hannah Rose Kirk; Alexander Whitefield; Paul Röttger; Andrew M. Bean; Katerina Margatina; Rafael Mosquera Gómez; Juan Ciro; Max Bartolo; Adina Williams; He He 001; Bertie Vidgen; Scott Hale (NeurIPS, 2024)

The PRISM Alignment Project: What Participatory, Representative and Individualised Human Feedback Reveals About the Subjective and Multicultural Alignment of Large Language Models. - Hannah Rose Kirk; Alexander Whitefield; Paul Röttger; Andrew M. Bean; Katerina Margatina; Juan Ciro; Rafael Mosquera; Max Bartolo; Adina Williams; He He 001; Bertie Vidgen; Scott A. Hale (CoRR, 2024)

Fine-tuning Large Language Models with Human-inspired Learning Strategies in Medical Question Answering. - Yushi Yang; Andrew M. Bean; Robert McCraith; Adam Mahdi (CoRR, 2024)

Evaluating the role of 'Constitutions' for learning from AI feedback. - Saskia Redgate; Andrew M. Bean; Adam Mahdi (CoRR, 2024)

LINGOLY-TOO: Disentangling Memorisation from Reasoning with Linguistic Templatisation and Orthographic Obfuscation. - Jude Khouja; Karolina Korgul; Simi Hellsten; Lingyi Yang; Vlad Neacsu; Harry Mayne; Ryan Kearns; Andrew M. Bean; Adam Mahdi (CoRR, 2025)

Clinical knowledge in LLMs does not translate to human interactions. - Andrew M. Bean; Rebecca Payne; Guy Parsons; Hannah Rose Kirk; Juan Ciro; Rafael Mosquera; Sara Hincapié Monsalve; Aruna S. Ekanayaka; Lionel Tarassenko; Luc Rocher; Adam Mahdi (CoRR, 2025)