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Embedding Geometry Shapes LLM Routing: Tracing Failure Modes and Improving Generalization

This story is from 2026-10-15. It is preserved in the archive; the latest stories are on the live feed.

arXiv:2610.19198v1 Announce Type: new Abstract: With the growing number of LLMs available, selecting which one to use for a prompt has become a key question. A large part of the routing literature relies on semantically embedding prompts into a vector space and then applying a lightweight classifie…

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  1. 2026-10-15 04:00 · arXiv cs.AI
    Embedding Geometry Shapes LLM Routing: Tracing Failure Modes and Improving Generalization

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