Enabling flexible automation system hardware: Dynamic reconfiguration of a real-time capable field-bus. - Daniel Regulin; Amelia Glaese; Stefan Feldmann; Daniel Schütz; Birgit Vogel-Heuser (INDIN, 2015)

Challenges in Detoxifying Language Models. - Johannes Welbl; Amelia Glaese; Jonathan Uesato; Sumanth Dathathri; John Mellor; Lisa Anne Hendricks; Kirsty Anderson; Pushmeet Kohli; Ben Coppin; Po-Sen Huang (EMNLP (Findings), 2021)

AndroidEnv: A Reinforcement Learning Platform for Android. - Daniel Toyama; Philippe Hamel; Anita Gergely; Gheorghe Comanici; Amelia Glaese; Zafarali Ahmed; Tyler Jackson; Shibl Mourad; Doina Precup (CoRR, 2021)

Ethical and social risks of harm from Language Models. - Laura Weidinger; John Mellor; Maribeth Rauh; Conor Griffin; Jonathan Uesato; Po-Sen Huang; Myra Cheng; Mia Glaese; Borja Balle; Atoosa Kasirzadeh; Zac Kenton; Sasha Brown; et al. (CoRR, 2021)

Scaling Language Models: Methods, Analysis & Insights from Training Gopher. - Jack W. Rae; Sebastian Borgeaud; Trevor Cai; Katie Millican; Jordan Hoffmann; H. Francis Song; John Aslanides; Sarah Henderson; Roman Ring; Susannah Young; Eliza Rutherford; Tom Hennigan; et al. (CoRR, 2021)

Red Teaming Language Models with Language Models. - Ethan Perez; Saffron Huang; H. Francis Song; Trevor Cai; Roman Ring; John Aslanides; Amelia Glaese; Nat McAleese; Geoffrey Irving (EMNLP, 2022)

Taxonomy of Risks posed by Language Models. - Laura Weidinger; Jonathan Uesato; Maribeth Rauh; Conor Griffin; Po-Sen Huang; John Mellor; Amelia Glaese; Myra Cheng; Borja Balle; Atoosa Kasirzadeh; Courtney Biles; Sasha Brown; et al. (FAccT, 2022)

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)

Characteristics of Harmful Text: Towards Rigorous Benchmarking of Language Models. - Maribeth Rauh; John Mellor; Jonathan Uesato; Po-Sen Huang; Johannes Welbl; Laura Weidinger; Sumanth Dathathri; Amelia Glaese; Geoffrey Irving; Iason Gabriel; William Isaac 001; Lisa Anne Hendricks (NeurIPS, 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)

Learning how to Interact with a Complex Interface using Hierarchical Reinforcement Learning. - Gheorghe Comanici; Amelia Glaese; Anita Gergely; Daniel Toyama; Zafarali Ahmed; Tyler Jackson; Philippe Hamel; Doina Precup (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)

Gemini: A Family of Highly Capable Multimodal Models. - Rohan Anil; Sebastian Borgeaud; Yonghui Wu; Jean-Baptiste Alayrac; Jiahui Yu; Radu Soricut; Johan Schalkwyk; Andrew M. Dai; Anja Hauth; Katie Millican; David Silver; Slav Petrov; et al. (CoRR, 2023)

Gemini 1.5: Unlocking multimodal understanding across millions of tokens of context. - Machel Reid; Nikolay Savinov; Denis Teplyashin; Dmitry Lepikhin; Timothy P. Lillicrap; Jean-Baptiste Alayrac; Radu Soricut; Angeliki Lazaridou; Orhan Firat; Julian Schrittwieser; Ioannis Antonoglou; Rohan Anil; et al. (CoRR, 2024)

Measuring short-form factuality in large language models. - Jason Wei; Nguyen Karina; Hyung Won Chung; Yunxin Joy Jiao; Spencer Papay; Amelia Glaese; John Schulman; William Fedus (CoRR, 2024)

Deliberative Alignment: Reasoning Enables Safer Language Models. - Melody Y. Guan; Manas Joglekar; Eric Wallace; Saachi Jain; Boaz Barak; Alec Helyar; Rachel Dias; Andrea Vallone; Hongyu Ren; Jason Wei; Hyung Won Chung; Sam Toyer; et al. (CoRR, 2024)

Trading Inference-Time Compute for Adversarial Robustness. - Wojciech Zaremba; Evgenia Nitishinskaya; Boaz Barak; Stephanie Lin; Sam Toyer; Yaodong Yu; Rachel Dias; Eric Wallace; Kai Xiao; Johannes Heidecke; Amelia Glaese (CoRR, 2025)

PaperBench: Evaluating AI's Ability to Replicate AI Research. - Giulio Starace; Oliver Jaffe; Dane Sherburn; James Aung; Jun Shern Chan; Leon Maksin; Rachel Dias; Evan Mays; Benjamin Kinsella; Wyatt Thompson; Johannes Heidecke; Amelia Glaese; et al. (CoRR, 2025)

BrowseComp: A Simple Yet Challenging Benchmark for Browsing Agents. - Jason Wei; Zhiqing Sun; Spencer Papay; Scott McKinney; Jeffrey Han; Isa Fulford; Hyung Won Chung; Alex Tachard Passos; William Fedus; Amelia Glaese (CoRR, 2025)

gpt-oss-120b & gpt-oss-20b Model Card. - Sandhini Agarwal; Lama Ahmad; Jason Ai; Sam Altman; Andy Applebaum; Edwin Arbus; Rahul K. Arora; Yu Bai; Bowen Baker; Haiming Bao; Boaz Barak; Ally Bennett; et al. (CoRR, 2025)