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Cognitively-Inspired Language Models for Investigating Human Language Acquisition and Processing

CORDIS · observation · Publication date unknown

nd Processing The CLIMB project aims to develop Language Models that are more cognitively grounded, with the goal of investigating the mechanisms underlying human language acquisition and processing. Large Language Models demonstrate near “superhuman” performance, but require equally “superhuman” amounts of training data and ignore key aspects of human design, such as spoken and visual input, social interaction, and cognitively grounded inductive biases. This misalignment limits their scientific relevance as models of language learning and their suitability as experimental testbeds for linguistic theories. CLIMB introduces an integrated framework that draws on findings from linguistics, cognitive science, and developmental psychology. It will construct Language Models for multiple languages trained on ecologically valid, multimodal datasets structured by developmental stage, and with a theory-driven design including inductive biases informed by linguistic and cognitive research. These models will be tested on new challenging benchmarks enriched with behavioural and biometric data, a

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recordType

award

status

SIGNED

region

EU

value

2476572

unit

EUR