Mind the Gap: Assessing Temporal Generalization in Neural Language Models. - Angeliki Lazaridou; Adhiguna Kuncoro; Elena Gribovskaya; Devang Agrawal; Adam Liska; Tayfun Terzi; Mai Gimenez; Cyprien de Masson d'Autume; Tomás Kociský; Sebastian Ruder; Dani Yogatama; Kris Cao; et al. (NeurIPS, 2021)

Pitfalls of Static Language Modelling. - Angeliki Lazaridou; Adhiguna Kuncoro; Elena Gribovskaya; Devang Agrawal; Adam Liska; Tayfun Terzi; Mai Gimenez; Cyprien de Masson d'Autume; Sebastian Ruder; Dani Yogatama; Kris Cao; Tomás Kociský; 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)

StreamingQA: A Benchmark for Adaptation to New Knowledge over Time in Question Answering Models. - Adam Liska; Tomás Kociský; Elena Gribovskaya; Tayfun Terzi; Eren Sezener; Devang Agrawal; Cyprien de Masson d'Autume; Tim Scholtes; Manzil Zaheer; Susannah Young; Ellen Gilsenan-McMahon; Sophia Austin; et al. (ICML, 2022)

Scaling Instructable Agents Across Many Simulated Worlds. - SIMA Team; Maria Abi Raad; Arun Ahuja; Catarina Barros; Frederic Besse; Andrew Bolt; Adrian Bolton; Bethanie Brownfield; Gavin Buttimore; Max Cant; Sarah Chakera; Stephanie C. Y. Chan; et al. (CoRR, 2024)