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A review on large language models: Architectures, applications, taxonomies, open issues and challenges
Large Language Models (LLMs) recently demonstrated extraordinary capability in various
natural language processing (NLP) tasks including language translation, text generation …
natural language processing (NLP) tasks including language translation, text generation …
A critique of pure learning and what artificial neural networks can learn from animal brains
Artificial neural networks (ANNs) have undergone a revolution, catalyzed by better
supervised learning algorithms. However, in stark contrast to young animals (including …
supervised learning algorithms. However, in stark contrast to young animals (including …
[PDF][PDF] A survey of large language models
Ever since the Turing Test was proposed in the 1950s, humans have explored the mastering
of language intelligence by machine. Language is essentially a complex, intricate system of …
of language intelligence by machine. Language is essentially a complex, intricate system of …
The best game in town: The reemergence of the language-of-thought hypothesis across the cognitive sciences
Mental representations remain the central posits of psychology after many decades of
scrutiny. However, there is no consensus about the representational format (s) of biological …
scrutiny. However, there is no consensus about the representational format (s) of biological …
Better models of human high-level visual cortex emerge from natural language supervision with a large and diverse dataset
High-performing neural networks for vision have dramatically advanced our ability to
account for neural data in biological systems. Recently, further improvement in performance …
account for neural data in biological systems. Recently, further improvement in performance …
[ספר][B] Rebooting AI: Building artificial intelligence we can trust
G Marcus, E Davis - 2019 - books.google.com
Two leaders in the field offer a compelling analysis of the current state of the art and reveal
the steps we must take to achieve a robust artificial intelligence that can make our lives …
the steps we must take to achieve a robust artificial intelligence that can make our lives …
A problem in theory
The replication crisis facing the psychological sciences is widely regarded as rooted in
methodological or statistical shortcomings. We argue that a large part of the problem is the …
methodological or statistical shortcomings. We argue that a large part of the problem is the …
Translanguaging as a practical theory of language
This article seeks to develop Translanguaging as a theory of language and discuss the
theoretical motivations behind and the added values of the concept. I contextualize …
theoretical motivations behind and the added values of the concept. I contextualize …
[ספר][B] Cognitive gadgets: The cultural evolution of thinking
C Heyes - 2018 - books.google.com
“This is an important book and likely the most thoughtful of the year in the social sciences...
Highly recommended, it is likely to prove one of the most thought-provoking books of the …
Highly recommended, it is likely to prove one of the most thought-provoking books of the …
Large language models demonstrate the potential of statistical learning in language
To what degree can language be acquired from linguistic input alone? This question has
vexed scholars for millennia and is still a major focus of debate in the cognitive science of …
vexed scholars for millennia and is still a major focus of debate in the cognitive science of …