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arXiv research

A locally-built, LLM-digested index of recent arXiv papers in quant finance, geometry/topology, and statistical ML — keyword search served straight from SQLite on this machine.

168,738 papers · 148 categories

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0111 · Aug 201619922001200920172026
4 results for “syllogisms”
Learning Syllogism with Euler Neural-Networkscs.LG

ENN neural network learns logical syllogisms using Euler diagrams.

problem Traditional neural networks struggle with logical reasoning, especially syllogisms.
method ENN represents logical relations as Euler diagrams, optimizing syllogism structures with a novel back-propagation algorithm.
result ENN can precisely represent and reason with all 24 syllogism structures.
Euler diagramssyllogismslogical reasoningneural networkstopological relations
2020-07-14abs ↗pdf ↗
Abstract Diagrammatic Reasoning with Multiplex Graph Networkscs.LG

MXGNet tackles visual reasoning tasks using graph neural networks.

problem Abstract reasoning, especially in the visual domain, is challenging for AI.
method Combines object-level representations, graph neural networks, and multiplex graphs.
result Achieves state-of-the-art accuracy on Euler Diagram Syllogisms and outperforms state-of-the-art models on RPM datasets.
graph neural networksabstract reasoningvisual domainmultiplex graphsEuler Diagram Syllogisms
2020-06-19abs ↗pdf ↗
How Far Can Transformers Reason? The Globality Barrier and Inductive Scratchpadcs.LG

This paper explores the limits of Transformers in learning new patterns from scratch.

problem Understanding when Transformers can learn new patterns from scratch.
method Introducing the 'globality degree' to measure learnability and developing scratchpad techniques.
result Distributions with high globality cannot be learned efficiently by Transformers.
Transformerslearnabilityglobality degreescratchpad techniquesTuring-completeness
2024-06-10abs ↗pdf ↗