A manifesto for applying behavioural science
M Hallsworth - Nature Human Behaviour, 2023 - nature.com
Recent years have seen a rapid increase in the use of behavioural science to address the
priorities of public and private sector actors. There is now a vibrant ecosystem of …
priorities of public and private sector actors. There is now a vibrant ecosystem of …
Confronting racially exclusionary practices in the acquisition and analyses of neuroimaging data
Across the brain sciences, institutions and individuals have begun to actively acknowledge
and address the presence of racism, bias, and associated barriers to inclusivity within our …
and address the presence of racism, bias, and associated barriers to inclusivity within our …
GPT is an effective tool for multilingual psychological text analysis
The social and behavioral sciences have been increasingly using automated text analysis to
measure psychological constructs in text. We explore whether GPT, the large-language …
measure psychological constructs in text. We explore whether GPT, the large-language …
Benchmarks for automated commonsense reasoning: A survey
E Davis - ACM Computing Surveys, 2023 - dl.acm.org
More than one hundred benchmarks have been developed to test the commonsense
knowledge and commonsense reasoning abilities of artificial intelligence (AI) systems …
knowledge and commonsense reasoning abilities of artificial intelligence (AI) systems …
Speech and language markers of neurodegeneration: a call for global equity
In the field of neurodegeneration, speech and language assessments are useful for
diagnosing aphasic syndromes and for characterizing other disorders. As a complement to …
diagnosing aphasic syndromes and for characterizing other disorders. As a complement to …
A fine-grained comparison of pragmatic language understanding in humans and language models
Pragmatics and non-literal language understanding are essential to human communication,
and present a long-standing challenge for artificial language models. We perform a fine …
and present a long-standing challenge for artificial language models. We perform a fine …
Event knowledge in large language models: the gap between the impossible and the unlikely
Word co‐occurrence patterns in language corpora contain a surprising amount of
conceptual knowledge. Large language models (LLMs), trained to predict words in context …
conceptual knowledge. Large language models (LLMs), trained to predict words in context …
Scaling in cognitive modelling: A multilingual approach to human reading times
A De Varda, M Marelli - Proceedings of the 61st Annual Meeting of …, 2023 - aclanthology.org
Neural language models are increasingly valued in computational psycholinguistics, due to
their ability to provide conditional probability distributions over the lexicon that are predictive …
their ability to provide conditional probability distributions over the lexicon that are predictive …
How games can make behavioural science better
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[HTML][HTML] Language experience predicts music processing in a half-million speakers of fifty-four languages
Tonal languages differ from other languages in their use of pitch (tones) to distinguish
words. Lifelong experience speaking and hearing tonal languages has been argued to …
words. Lifelong experience speaking and hearing tonal languages has been argued to …