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Dissociating language and thought in large language models
Large language models (LLMs) have come closest among all models to date to mastering
human language, yet opinions about their linguistic and cognitive capabilities remain split …
human language, yet opinions about their linguistic and cognitive capabilities remain split …
The neuroconnectionist research programme
Artificial neural networks (ANNs) inspired by biology are beginning to be widely used to
model behavioural and neural data, an approach we call 'neuroconnectionism'. ANNs have …
model behavioural and neural data, an approach we call 'neuroconnectionism'. ANNs have …
The Janus effect of generative AI: Charting the path for responsible conduct of scholarly activities in information systems
The Janus Effect of Generative AI: Charting the Path for Responsible Conduct of Scholarly
Activities in Information Systems | Information Systems Research INFORMS.org Certified …
Activities in Information Systems | Information Systems Research INFORMS.org Certified …
[HTML][HTML] Modern language models refute Chomsky's approach to language
Modern machine learning has subverted and bypassed the theoretical framework of
Chomsky's generative approach to linguistics, including its core claims to particular insights …
Chomsky's generative approach to linguistics, including its core claims to particular insights …
Embers of autoregression: Understanding large language models through the problem they are trained to solve
The widespread adoption of large language models (LLMs) makes it important to recognize
their strengths and limitations. We argue that in order to develop a holistic understanding of …
their strengths and limitations. We argue that in order to develop a holistic understanding of …
Deep problems with neural network models of human vision
Deep neural networks (DNNs) have had extraordinary successes in classifying
photographic images of objects and are often described as the best models of biological …
photographic images of objects and are often described as the best models of biological …
The neural architecture of language: Integrative modeling converges on predictive processing
The neuroscience of perception has recently been revolutionized with an integrative
modeling approach in which computation, brain function, and behavior are linked across …
modeling approach in which computation, brain function, and behavior are linked across …
The neural architecture of language
The neuroscience of perception has recently been revolutionized with an integrative
modeling approach in which computation, brain function, and behavior are linked across …
modeling approach in which computation, brain function, and behavior are linked across …
Deep learning: A critical appraisal
G Marcus - arxiv preprint arxiv:1801.00631, 2018 - arxiv.org
Although deep learning has historical roots going back decades, neither the term" deep
learning" nor the approach was popular just over five years ago, when the field was …
learning" nor the approach was popular just over five years ago, when the field was …
Syntactic structure from deep learning
Modern deep neural networks achieve impressive performance in engineering applications
that require extensive linguistic skills, such as machine translation. This success has …
that require extensive linguistic skills, such as machine translation. This success has …