Scalable watermarking for identifying large language model outputs - Sumanth Dathathri; Abigail See; Sumedh Ghaisas; Po-Sen Huang; Rob McAdam; Johannes Welbl; Vandana Bachani; Alex Kaskasoli; Robert Stanforth; Tatiana Matejovicova; Jamie Hayes; Nidhi Vyas; et al. (Nat., 2024)

Conformal prediction under ambiguous ground truth - David Stutz; Abhijit Guha Roy; Tatiana Matejovicova; Patricia Strachan; Ali Taylan Cemgil; Arnaud Doucet (Trans. Mach. Learn. Res., 2023)

Perception Test: A Diagnostic Benchmark for Multimodal Video Models - Viorica Patraucean; Lucas Smaira; Ankush Gupta; Adrià Recasens; Larisa Markeeva; Dylan Banarse; Skanda Koppula; Joseph Heyward; Mateusz Malinowski; Yi Yang; Carl Doersch; Tatiana Matejovicova; et al. (Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, NeurIPS 2023, New Orleans, LA, USA, December 10 - 16, 2023, 2023)

Perception Test: A Diagnostic Benchmark for Multimodal Video Models - Viorica Patraucean; Lucas Smaira; Ankush Gupta; Adrià Recasens Continente; Larisa Markeeva; Dylan Banarse; Skanda Koppula; Joseph Heyward; Mateusz Malinowski; Yi Yang; Carl Doersch; Tatiana Matejovicova; et al. (CoRR, 2023)

Evaluating AI systems under uncertain ground truth: a case study in dermatology - David Stutz; Ali Taylan Cemgil; Abhijit Guha Roy; Tatiana Matejovicova; Melih Barsbey; Patricia Strachan; Mike Schaekermann; Jan Freyberg; Rajeev V. Rikhye; Beverly Freeman; Javier Perez Matos; Umesh Telang; et al. (CoRR, 2023)

Conformal prediction under ambiguous ground truth - David Stutz; Abhijit Guha Roy; Tatiana Matejovicova; Patricia Strachan; Ali Taylan Cemgil; Arnaud Doucet (CoRR, 2023)