Multi-Agent Diagnostics for Robustness via Illuminated Diversity. - Mikayel Samvelyan; Davide Paglieri; Minqi Jiang; Jack Parker-Holder; Tim Rocktäschel (AAMAS, 2024)

Outliers and Calibration Sets have Diminishing Effect on Quantization of Modern LLMs. - Davide Paglieri; Saurabh Dash; Tim Rocktäschel; Jack Parker-Holder (CoRR, 2024)

Assessing the Zero-Shot Capabilities of LLMs for Action Evaluation in RL. - Eduardo Pignatelli; Johan Ferret; Tim Rocktäschel; Edward Grefenstette; Davide Paglieri; Samuel Coward; Laura Toni (CoRR, 2024)

BALROG: Benchmarking Agentic LLM and VLM Reasoning On Games. - Davide Paglieri; Bartlomiej Cupial; Samuel Coward; Ulyana Piterbarg; Maciej Wolczyk; Akbir Khan; Eduardo Pignatelli; Lukasz Kucinski; Lerrel Pinto; Rob Fergus; Jakob Nicolaus Foerster; Jack Parker-Holder; et al. (ICLR, 2025)

D3PO: Preference-Based Alignment of Discrete Diffusion Models. - Umberto Borso; Davide Paglieri; Jude Wells; Tim Rocktäschel (CoRR, 2025)

Multi-Actor Generative Artificial Intelligence as a Game Engine. - Alexander Sasha Vezhnevets; Jayd Matyas; Logan Cross; Davide Paglieri; Minsuk Chang; William A. Cunningham; Simon Osindero; William S. Isaac; Joel Z. Leibo (CoRR, 2025)