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

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

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

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

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

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