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Interpreting the reasoning process from questions to answers poses a challenge in approaching explainable QA.
Exploring the limits of transfer learning with a unified text-to-text transformer
Colin Raffel, Noam M. Shazeer, Adam Roberts, Katherine Lee, Sharan Narang, Michael Matena, Yanqi Zhou, Wei Li, and Peter J. Liu. 2020 · 1910
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Programs with common sense
John McCarthy. 1960 · 1960
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What is automated reasoning?
Larry Wos. 1985 · 1985
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Policy gradient methods for reinforcement learning with function approximation
Richard S. Sutton, David A. McAllester, Satinder Singh, and Y. Mansour. 1999 · 1999
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Ashish Vaswani, Noam M. Shazeer, Niki Parmar, Jakob Uszkoreit, Llion Jones, Aidan N. Gomez, Lukasz Kaiser, and Illia Polosukhin. 2017 · 2017
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Think you have solved question answering? try arc, the ai2 reasoning challenge
Peter Clark, Isaac Cowhey, Oren Etzioni, Tushar Khot, Ashish Sabharwal, Carissa Schoenick, and Oyvind Tafjord. 2018 · 2018
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Improving pretrained models for zero-shot multi-label text classification through reinforced label hierarchy reasoning
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Flexible generation of natural language deductions
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Explaining answers with entailment trees
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Natural language deduction through search over statement compositions
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Entailment tree explanations via iterative retrieval-generation reasoner
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Chain of thought prompting elicits reasoning in large language models
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