[HTML][HTML] Over-reliance on English hinders cognitive science

DE Blasi, J Henrich, E Adamou, D Kemmerer… - Trends in cognitive …, 2022 - cell.com
Abstract English is the dominant language in the study of human cognition and behavior: the
individuals studied by cognitive scientists, as well as most of the scientists themselves, are …

Broca's area is not a natural kind

E Fedorenko, IA Blank - Trends in cognitive sciences, 2020 - cell.com
Theories of human cognition prominently feature'Broca's area', which causally contributes to
a myriad of mental functions. However, Broca's area is not a monolithic, multipurpose unit–it …

An investigation across 45 languages and 12 language families reveals a universal language network

S Malik-Moraleda, D Ayyash, J Gallée, J Affourtit… - Nature …, 2022 - nature.com
To understand the architecture of human language, it is critical to examine diverse
languages; however, most cognitive neuroscience research has focused on only a handful …

The impact of positional encoding on length generalization in transformers

A Kazemnejad, I Padhi… - Advances in …, 2024 - proceedings.neurips.cc
Length generalization, the ability to generalize from small training context sizes to larger
ones, is a critical challenge in the development of Transformer-based language models …

Red teaming chatgpt via jailbreaking: Bias, robustness, reliability and toxicity

TY Zhuo, Y Huang, C Chen, Z Xing - arXiv preprint arXiv:2301.12867, 2023 - arxiv.org
Recent breakthroughs in natural language processing (NLP) have permitted the synthesis
and comprehension of coherent text in an open-ended way, therefore translating the …

Locally typical sampling

C Meister, T Pimentel, G Wiher… - Transactions of the …, 2023 - direct.mit.edu
Today's probabilistic language generators fall short when it comes to producing coherent
and fluent text despite the fact that the underlying models perform well under standard …

Good-enough language production

AE Goldberg, F Ferreira - Trends in Cognitive Sciences, 2022 - cell.com
Our ability to comprehend and produce language is one of humans' most impressive skills,
but it is not flawless. We must convey and interpret messages via a noisy channel in ever …

Emergent multi-agent communication in the deep learning era

A Lazaridou, M Baroni - arXiv preprint arXiv:2006.02419, 2020 - arxiv.org
The ability to cooperate through language is a defining feature of humans. As the
perceptual, motory and planning capabilities of deep artificial networks increase …

From word models to world models: Translating from natural language to the probabilistic language of thought

L Wong, G Grand, AK Lew, ND Goodman… - arXiv preprint arXiv …, 2023 - arxiv.org
How does language inform our downstream thinking? In particular, how do humans make
meaning from language--and how can we leverage a theory of linguistic meaning to build …

Lossy‐context surprisal: An information‐theoretic model of memory effects in sentence processing

R Futrell, E Gibson, RP Levy - Cognitive science, 2020 - Wiley Online Library
A key component of research on human sentence processing is to characterize the
processing difficulty associated with the comprehension of words in context. Models that …