Search Results - "Armeni, Kristijan"
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Probabilistic language models in cognitive neuroscience: Promises and pitfalls
Published in Neuroscience and biobehavioral reviews (01-12-2017)“…•Aspects of incremental language comprehension can be modeled with probabilistic language models.•Formal linguistic information content is used to build…”
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A 10-hour within-participant magnetoencephalography narrative dataset to test models of language comprehension
Published in Scientific data (08-06-2022)“…Recently, cognitive neuroscientists have increasingly studied the brain responses to narratives. At the same time, we are witnessing exciting developments in…”
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A hierarchy of linguistic predictions during natural language comprehension
Published in Proceedings of the National Academy of Sciences - PNAS (09-08-2022)“…Understanding spoken language requires transforming ambiguous acoustic streams into a hierarchy of representations, from phonemes to meaning. It has been…”
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Frequency-specific brain dynamics related to prediction during language comprehension
Published in NeuroImage (Orlando, Fla.) (01-09-2019)“…The brain's remarkable capacity to process spoken language virtually in real time requires fast and efficient information processing machinery. In this study,…”
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Towards wide-scale adoption of open science practices: The role of open science communities
Published in Science & public policy (2021)“…Despite the increasing availability of Open Science (OS) infrastructure and the rise in policies to change behaviour, OS practices are not yet the norm. While…”
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Transformer verbatim in-context retrieval across time and scale
Published 11-11-2024“…To predict upcoming text, language models must in some cases retrieve in-context information verbatim. In this report, we investigated how the ability of…”
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Characterizing Verbatim Short-Term Memory in Neural Language Models
Published 24-10-2022“…When a language model is trained to predict natural language sequences, its prediction at each moment depends on a representation of prior context. What kind…”
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