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Measuring Systematic Generalization in Neural Proof Generation with Transformers
Measuring Systematic Generalization in Neural Proof Generation with Transformers
We are interested in understanding how well Transformer language models (TLMs) can perform reasoning tasks when trained on knowledge …
Conference on Neural Information Processing Systems (NeurIPS),  2020.
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On Extractive and Abstractive Neural Document Summarization with Transformer Language Models
On Extractive and Abstractive Neural Document Summarization with Transformer Language Models
We present a method to produce abstractive summaries of long documents that exceed several thousand words via neural abstractive …
Conference on Empirical Methods in Natural Language Processing (EMNLP),  2020.
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