SOURCE-LINKED INTELLIGENCE
Lingua Franca or Probing Artifact? Rethinking Latent Language in Multilingual LLMs
Latent language identification is often used to argue that multilingual language models route computation through language-specific states, such as English pivots. However, existing probes infer latent language from different signals, such as the geometry of hidden states or what can be decoded from intermediate representations. Since such claims shape conclusions about how models share and route information across languages, we ask whether these probes measure the same phenomenon or expose distinct aspects of multilingual computation. We study this question across model families, training reg
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Evidence & attribution
- arXiv · AI, language, vision and robotics · 2026-08-31T18:00:09.000Z
First collected: 2026-09-21T06:41:57.136Z. This is not the publication date.