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CogNet
MIT Press CogNet is the essential research tool for scholars in the brain and cognitive sciences.
Visit the CogNet information page for more information.
Maged S. Al-Shaibani; Irfan Ahmad
Eunkyul Leah Jo; Angela Yoonseo Park; Jungyeul Park
Meishan Zhang; Gongyao Jiang; Shuang Liu; Jing Chen; Min Zhang
Jia Peng Lim; Hady W. Lauw
Matthew Mandelkern; Tal Linzen
Isabel O. Gallegos; Ryan A. Rossi; Joe Barrow; Md Mehrab Tanjim; Sungchul Kim; Franck Dernoncourt; Tong Yu; Ruiyi Zhang; Nesreen K. Ahmed
Renze Lou; Kai Zhang; Wenpeng Yin
Maxime Delmas; Magdalena Wysocka; André Freitas
Jan-Christoph Klie; Richard Eckart de Castilho; Iryna Gurevych
Ran Zhang; Jihed Ouni; Steffen Eger
Katrien Beuls; Paul Van Eecke
Andrew Lampinen
Charlotte Pouw; Marianne de Heer Kloots; Afra Alishahi; Willem Zuidema
Andrea Gregor de Varda; Daniele Gatti; Marco Marelli; Fritz Günther
Anna Jon-And; Jérôme Michaud
From Form(s) to Meaning: Probing the Semantic Depths of Language Models Using Multisense Consistency
Xenia Ohmer; Elia Bruni; Dieuwke Hupkes
Emily Allaway; Chandra Bhagavatula; Jena D. Hwang; Kathleen McKeown; Sarah-Jane Leslie
Cameron Jones; Benjamin Bergen; Sean Trott
Marc-Antoine Georges; Marvin Lavechin; Jean-Luc Schwartz; Thomas Hueber