Christopher Clark
5 papers in the PaperMetrix corpus
Papers by this author
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2 OLMo 2 Furious
2024 · arXiv (Cornell University)
We present OLMo 2, the next generation of our fully open language models. OLMo 2 includes a family of dense autoregressive language models at 7B, 13B and 32B scales with fully released artifacts -- model …
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Simple and Effective Multi-Paragraph Reading Comprehension
2018
We introduce a method of adapting neural paragraph-level question answering models to the case where entire documents are given as input. Most current question answering models cannot scale to document or multi-document input, and naively …
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Deep Contextualized Word Representations
2018
Matthew E. Peters, Mark Neumann, Mohit Iyyer, Matt Gardner, Christopher Clark, Kenton Lee, Luke Zettlemoyer. Proceedings of the 2018 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, Volume …
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BoolQ: Exploring the Surprising Difficulty of Natural Yes/No Questions
2019 · arXiv (Cornell University)
In this paper we study yes/no questions that are naturally occurring --- meaning that they are generated in unprompted and unconstrained settings. We build a reading comprehension dataset, BoolQ, of such questions, and show that …
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Don’t Take the Easy Way Out: Ensemble Based Methods for Avoiding Known Dataset Biases
2019
Christopher Clark, Mark Yatskar, Luke Zettlemoyer. Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing and the 9th International Joint Conference on Natural Language Processing (EMNLP-IJCNLP). 2019.