Abductionrules: Training transformers to explain unexpected inputs

N Young, Q Bao, J Bensemann, M Witbrock - arXiv preprint arXiv …, 2022 - arxiv.org
Transformers have recently been shown to be capable of reliably performing logical
reasoning over facts and rules expressed in natural language, but abductive reasoning …

[PDF][PDF] AbductionRules: Training Transformers to Explain Unexpected Inputs

N Young, Q Bao, J Bensemann, M Witbrock - researchgate.net
Transformers have recently been shown to be capable of reliably performing logical
reasoning over facts and rules expressed in natural language, but abductive reasoning …

AbductionRules: Training Transformers to Explain Unexpected Inputs

N Young, Q Bao, J Bensemann… - Findings of the …, 2022 - aclanthology.org
Transformers have recently been shown to be capable of reliably performing logical
reasoning over facts and rules expressed in natural language, but abductive reasoning …

AbductionRules: Training Transformers to Explain Unexpected Inputs

N Young, Q Bao, J Bensemann, M Witbrock - arXiv e-prints, 2022 - ui.adsabs.harvard.edu
Transformers have recently been shown to be capable of reliably performing logical
reasoning over facts and rules expressed in natural language, but abductive reasoning …

[PDF][PDF] AbductionRules: Training Transformers to Explain Unexpected Inputs

N Young, Q Bao, J Bensemann, M Witbrock - scholar.archive.org
Transformers have recently been shown to be capable of reliably performing logical
reasoning over facts and rules expressed in natural language, but abductive reasoning …