Representation of syntax in LLMs analyzed with distance and entropy-based similarity measures
Read the original at arxiv.org→arXiv:2608.27813v1 Announce Type: new Abstract: Structural probes were introduced by Hewitt and Manning to reconstruct syntactic trees from a neural language model's latent representations. They are evaluated by...
Original headline: "Representation of syntax in LLMs through the lens of linear distance and similarity-aware entropy"
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- Aug 31, 04:00 UTC arXiv cs.CL lead source Representation of syntax in LLMs through the lens of linear distance and similarity-aware entropy