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Brain localization, which describes the association between specific regions of the brain and their corresponding functions, is widely accepted in the field of cognitive science as an objective fact.
Where do you know what you know? the representation of semantic knowledge in the human brain
Karalyn Patterson, Peter J. Nestor, and Timothy T. Rogers · 2007
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Measuring massive multitask language understanding
Dan Hendrycks, Collin Burns, Steven Basart, Andy Zou, Mantas Mazeika, Dawn Song, and Jacob Steinhardt · 2009
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New method for fmri investigations of language: Defining rois functionally in individual subjects
Evelina Fedorenko, Po-Jang Hsieh, Alfonso Nieto-Castañón, Susan Whitfield-Gabrieli, and Nancy Kanwisher · 2010
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Shared language overlap and segregation of the neuronal infrastructure for speaking and listening revealed by functional mri
Laura Menenti, Sarah M. E. Gierhan, Katrien Segaert, and Peter Hagoort · 2011
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Broad domain generality in focal regions of frontal and parietal cortex
Evelina Fedorenko, John Duncan, and Nancy Kanwisher · 2013
Earlier work this paper cites.
Selective and invariant neural responses to spoken and written narratives
Mor Regev, Christopher J. Honey, Erez Simony, and Uri Hasson · 2013
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Language and thought are not the same thing: Evidence from neuroimaging and neurological patients
Evelina Fedorenko and Rosemary Varley · 2016
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A new fun and robust version of an fmri localizer for the frontotemporal language system
Terri L. Scott, Jeanne Gallée, and Evelina Fedorenko · 2016
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A distinct cortical network for mathematical knowledge in the human brain
Marie Amalric and Stanislas Dehaene · 2019
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The representation of semantic information across human cerebral cortex during listening versus reading is invariant to stimulus modality
Fatma Deniz, Anwar O. Nunez-Elizalde, Alexander G. Huth, and Jack L. Gallant · 2019
Earlier work this paper cites.
Invariant representations of mass in the human brain
Sarah Schwettmann, Joshua B Tenenbaum, and Nancy Kanwisher · 2019
Cited alongside, same era.
Superglue: A stickier benchmark for general-purpose language understanding systems
Alex Wang, Yada Pruksachatkun, Nikita Nangia, Amanpreet Singh, Julian Michael, Felix Hill, Omer Levy, and Samuel Bowman · 2019
Cited alongside, same era.
Integrated intelligence from distributed brain activity
John Duncan, Moataz Assem, and Sneha Shashidhara · 2020
Cited alongside, same era.
Comprehension of computer code relies primarily on domain-general executive resources
Anna Ivanova, Shashank Srikant, Yotaro Sueoka, Hope Kean, Riva Dhamala, Una-May O’Reilly, MarinaUmaschi Bers, and Evelina Fedorenko · 2020
Cited alongside, same era.
Blimp: The benchmark of linguistic minimal pairs for english (electronic resources)
Samuel R Warstadt, Alicia Parrish, Haokun Liu, Anhad Mohananey, Wei Peng, Sheng-Fu Wang, and Samuel R Bowman · 2020
Cited alongside, same era.
Palm 2 technical report, 2023
Rohan Anil, Andrew M. Dai, Orhan Firat, Melvin Johnson, and Dmitry Lepikhin · 2023
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Sparks of artificial general intelligence: Early experiments with gpt-4, 2023
Sébastien Bubeck, Varun Chandrasekaran, Ronen Eldan, Johannes Gehrke, Eric Horvitz, Ece Kamar, Peter Lee, Yin Tat Lee, Yuanzhi Li, Scott Lundberg, Harsha Nori, Hamid Palangi, Marco Tulio Ribeiro, and Yi Zhang · 2023
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A survey on in-context learning, 2023
Qingxiu Dong, Lei Li, Damai Dai, Ce Zheng, Zhiyong Wu, Baobao Chang, Xu Sun, Jingjing Xu, Lei Li, and Zhifang Sui · 2023
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C-eval: A multi-level multi-discipline chinese evaluation suite for foundation models, 2023
Yuzhen Huang, Yuzhuo Bai, Zhihao Zhu, Junlei Zhang, and Jinghan Zhang · 2023
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Dissociating language and thought in large language models: a cognitive perspective, 2023
Kyle Mahowald, Anna A. Ivanova, Idan A. Blank, Nancy Kanwisher, Joshua B. Tenenbaum, and Evelina Fedorenko · 2023
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Karl Cobbe, Vineet Kosaraju, Mohammad Bavarian, Jacob Hilton, Reiichiro Nakano, Christopher Hesse, and John Schulman · 2021
Cited alongside, same era.
The language network supports both lexical access and sentence generation during language production
Jennifer Hu, Hannah Small, Hope Kean, Atsushi Takahashi, Leo Zekelman, Daniel Kleinman, Elizabeth Ryan, Alfonso Nieto-Castañón, Victor Ferreira, and Evelina Fedorenko · 2021
Cited alongside, same era.
Invariant representation of physical stability in the human brain
R.T. Pramod, M. Cohen, J. Tenenbaum, and N. Kanwisher · 2021
Cited alongside, same era.
Are large language models sentient?, 2022
David Chalmers · 2022
Cited alongside, same era.
Introducing chatgpt, 2022
OpenAI · 2022
Cited alongside, same era.
Llama: Open and efficient foundation language models, 2023
Hugo Touvron, Thibaut Lavril, Gautier Izacard, Xavier Martinet, Marie-Anne Lachaux, Timothée Lacroix, Baptiste Rozière, Naman Goyal, Eric Hambro, Faisal Azhar, Aurelien Rodriguez, Armand Joulin, Edouard Grave, and Guillaume Lample · 2023
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Evaluating the performance of large language models on gaokao benchmark, 2023
Xiaotian Zhang, Chunyang Li, Yi Zong, Zhengyu Ying, Liang He, and Xipeng Qiu · 2023
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Agieval: A human-centric benchmark for evaluating foundation models, 2023
Wanjun Zhong, Ruixiang Cui, Yiduo Guo, Yaobo Liang, Shuai Lu, Yanlin Wang, Amin Saied, Weizhu Chen, and Nan Duan · 2023
Closest in time.
Computer code comprehension shares neural resources with formal logical inference in the fronto-parietal network
Yun-Fei Liu, Judy Kim, Colin Wilson, and Marina Bedny · 2050
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