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Found 4 papers, 1 papers with code
A Neural Rewriting System to Solve Algorithmic Problems
Modern neural network architectures still struggle to learn algorithmic procedures that require to systematically apply compositional rules to solve out-of-distribution problem instances.
Benchmarking GPT-4 on Algorithmic Problems: A Systematic Evaluation of Prompting Strategies
Large Language Models (LLMs) have revolutionized the field of Natural Language Processing thanks to their ability to reuse knowledge acquired on massive text corpora on a wide variety of downstream tasks, with minimal (if any) tuning steps.
A Hybrid System for Systematic Generalization in Simple Arithmetic Problems
Solving symbolic reasoning problems that require compositionality and systematicity is considered one of the key ingredients of human intelligence.
Learning to solve arithmetic problems with a virtual abacus
Acquiring mathematical skills is considered a key challenge for modern Artificial Intelligence systems.
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