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Nicolas Ramos Fernandez

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Probing cross-lingual differences in how LLMs represent Natural Language Inference

Cross-lingual probe transfer and direct comparison of probe weights show that NLI representations are most alignable in the middle layers: probes transfer best there, and probes trained independently on different languages converge to similar weight vectors, peaking mid-network.

Nicolas Ramos Fernandez · 0 citations