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psydelle.bsky.social

@psydelle.bsky.social
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Reposted by @psydelle.bsky.social
Centre for Language Evolution @uoe-cle.bsky.social · 25/07/2025
Different ML datasets use wildly different definitions of “systematic generalization”. To REALLY tell how well a model generalizes, we must look for systematicity of the model's representations. (1/2) 👇
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Reposted by @psydelle.bsky.social
Centre for Language Evolution @uoe-cle.bsky.social · 25/07/2025
Semi-compositional language like “kick the habit” takes longer for humans to process than both fully-compositional AND fully-idiomatic units! Also, a memory model with sBERT embeddings fails more on the same items. What's so special about these units? (1/2) 👇
edin.ac
What does memory retrieval leave on the table? Modelling the Cost...
Despite being ubiquitous in natural language, collocations (e.g., kick+habit) incur a unique processing cost, compared to compositional phrases (kick+door) and idioms (kick+bucket). We confirm this...
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