Recent Breakthroughs in Neurosymbolic AI
Recent Breakthroughs in Neurosymbolic AI
This reading list addresses how neural models and symbolic representations or reasoning are being combined, covering recent definitions and perspectives alongside primary studies in language models, knowledge graphs, program synthesis, learning, and verification.
Surveys, perspectives, and primary studies
Start with the two definition-focused papers for terminology and research landscape, then explore peer-reviewed or DOI-linked studies on neuro-symbolic language models, scalable learning, OWL-based knowledge graphs, compositional reasoning, program synthesis, and verification. The source cards distinguish publication status, including arXiv preprints and peer-reviewed conference papers where available.
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