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Few-shot Learning with Retrieval Augmented Language Models., , , , , , , , , and . CoRR, (2022)How Context Affects Language Models' Factual Predictions., , , , , , and . AKBC, (2020)Challenges in Generalization in Open Domain Question Answering., , , and . NAACL-HLT (Findings), page 2014-2029. Association for Computational Linguistics, (2022)Invited Talk: Embedding Probabilistic Logic for Machine Reading.. NODALIDA, volume 109 of Linköping Electronic Conference Proceedings, Linköping University Electronic Press / Association for Computational Linguistics, (2015)Answering Complex Open-Domain Questions with Multi-Hop Dense Retrieval., , , , , , , , , and 1 other author(s). ICLR, OpenReview.net, (2021)Zero-Shot Transfer Learning for Event Extraction., , , , , and . ACL (1), page 2160-2170. Association for Computational Linguistics, (2018)Training Adaptive Computation for Open-Domain Question Answering with Computational Constraints., , , and . ACL/IJCNLP (2), page 447-453. Association for Computational Linguistics, (2021)Lifted Rule Injection for Relation Embeddings, , and . EMNLP, (2016)Injecting Logical Background Knowledge into Embeddings for Relation Extraction, , and . NAACL HLT 2015, The 2015 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, Denver, Colorado, USA, May 31 - June 5, 2015, page 1119--1129. (2015)NeurIPS 2020 EfficientQA Competition: Systems, Analyses and Lessons Learned., , , , , , , , , and 43 other author(s). NeurIPS (Competition and Demos), volume 133 of Proceedings of Machine Learning Research, page 86-111. PMLR, (2020)