EDIN: An End-to-end Benchmark and Pipeline for Unknown Entity Discovery and Indexing. - Nora Kassner; Fabio Petroni; Mikhail Plekhanov; Sebastian Riedel 001; Nicola Cancedda (EMNLP, 2022)

Multilingual Autoregressive Entity Linking. - Nicola De Cao; Ledell Wu; Kashyap Popat; Mikel Artetxe; Naman Goyal 001; Mikhail Plekhanov; Luke Zettlemoyer; Nicola Cancedda; Sebastian Riedel 001; Fabio Petroni (Trans. Assoc. Comput. Linguistics, 2022)

Polar Ducks and Where to Find Them: Enhancing Entity Linking with Duck Typing and Polar Box Embeddings. - Mattia Atzeni; Mikhail Plekhanov; Frédéric A. Dreyer; Nora Kassner; Simone Merello; Louis Martin; Nicola Cancedda (EMNLP, 2023)

Multilingual End to End Entity Linking. - Mikhail Plekhanov; Nora Kassner; Kashyap Popat; Louis Martin; Simone Merello; Borislav Kozlovskii; Frédéric A. Dreyer; Nicola Cancedda (CoRR, 2023)

Fast Adaptive Approximate Nearest Neighbor Search with Cluster-Shaped Indices. - Vladimir Kazakovtsev; Mikhail Plekhanov; Alexandr Naumchev; Guzel Sh. Shkaberina; Igor S. Masich; Lyudmila Egorova; Alena A. Stupina; Aleksey M. Popov; Lev Kazakovtsev (Big Data Cogn. Comput., 2025)

ARE: Scaling Up Agent Environments and Evaluations. - Pierre Andrews; Amine Benhalloum; Gerard Moreno-Torres Bertran; Matteo Bettini; Amar Budhiraja; Ricardo Silveira Cabral; Virginie Do; Romain Froger; Emilien Garreau; Jean-Baptiste Gaya; Hugo Laurençon; Maxime Lecanu; et al. (CoRR, 2025)