Scale, Drivers, and Limits of Representational Alignment Across Large Language Models
arXiv:2610.14476v1 Announce Type: new Abstract: Comparing large language models can reveal shared representational structure and systematic differences between them. However, aggregate similarity measures can obscure how agreement varies across geometric scales and which linguistic properties suppor
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Quelle: arXiv cs.CL (arXiv cs.CL). Original öffnen