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High Quality Embeddings for Horn Logic Reasoning

Via ArXiv cs.AI
Friday, May 22, 2026 · 4:00AM
Summary

arXiv:2605.20467v1 Announce Type: new Abstract: Neural networks can be trained to rank the choices made by logical reasoners, resulting in more efficient searches for answers. A key step in this process is creating useful embeddings, i.e., numeric representations of logical statements. This paper in

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