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

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

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

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

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

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

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

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

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

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

Characteristics of Harmful Text: Towards Rigorous Benchmarking of Language Models. - Rauh, Maribeth; Mellor, John; Uesato, Jonathan; Huang, Po-Sen; Welbl, Johannes; Weidinger, Laura; Dathathri, Sumanth; Glaese, Amelia; Irving, Geoffrey; Gabriel, Iason; Isaac, William; Hendricks, Lisa Anne (2022)

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

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

Learning how to Interact with a Complex Interface using Hierarchical Reinforcement Learning. - Comanici, Gheorghe; Glaese, Amelia; Gergely, Anita; Toyama, Daniel; Ahmed, Zafarali; Jackson, Tyler; Hamel, Philippe; Precup, Doina (CoRR, 2022)

Characteristics of Harmful Text: Towards Rigorous Benchmarking of Language Models. - Rauh, Maribeth; Mellor, John; Uesato, Jonathan; Huang, Po-Sen; Welbl, Johannes; Weidinger, Laura; Dathathri, Sumanth; Glaese, Amelia; Irving, Geoffrey; Gabriel, Iason; Isaac, William; Hendricks, Lisa Anne (CoRR, 2022)

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

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

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

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

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

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

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

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