Fine-tuning language models to find agreement among humans with diverse preferences. - Michiel A. Bakker; Martin J. Chadwick; Hannah Sheahan; Michael Henry Tessler; Lucy Campbell-Gillingham; Jan Balaguer; Nat McAleese; Amelia Glaese; John Aslanides; Matt M. Botvinick; Christopher Summerfield (NeurIPS, 2022)

Human-centered mechanism design with Democratic AI. - Raphael Koster; Jan Balaguer; Andrea Tacchetti; Ari Weinstein; Tina Zhu; Oliver P. Hauser; Duncan Williams; Lucy Campbell-Gillingham; Phoebe Thacker; Matthew M. Botvinick; Christopher Summerfield (CoRR, 2022)

HCMD-zero: Learning Value Aligned Mechanisms from Data. - Jan Balaguer; Raphael Koster; Ari Weinstein; Lucy Campbell-Gillingham; Christopher Summerfield; Matthew M. Botvinick; Andrea Tacchetti (CoRR, 2022)

Teaching language models to support answers with verified quotes. - Jacob Menick; Maja Trebacz; Vladimir Mikulik; John Aslanides; H. Francis Song; Martin J. Chadwick; Mia Glaese; Susannah Young; Lucy Campbell-Gillingham; Geoffrey Irving; Nat McAleese (CoRR, 2022)

Improving alignment of dialogue agents via targeted human judgements. - Amelia Glaese; Nat McAleese; Maja Trebacz; John Aslanides; Vlad Firoiu; Timo Ewalds; Maribeth Rauh; Laura Weidinger; Martin J. Chadwick; Phoebe Thacker; Lucy Campbell-Gillingham; Jonathan Uesato; et al. (CoRR, 2022)