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Towards a universal language of concepts: A survey

This story is from 2026-09-07. It is preserved in the archive; the latest stories are on the live feed.

arXiv:2609.04528v1 Announce Type: new Abstract: Humans can learn and generalize novel concepts from sparse data because they express knowledge in rich structural formats. In this paper, we propose that programs are a strong candidate for universal representation of concepts. We review computational…

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  1. 2026-09-07 04:00 · arXiv cs.AI
    Towards a universal language of concepts: A survey

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