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IrEne: Interpretable Energy Prediction for Transformers.

, , , , and . ACL/IJCNLP (1), page 2145-2157. Association for Computational Linguistics, (2021)

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IrEne-viz: Visualizing Energy Consumption of Transformer Models., , , , , and . EMNLP (Demos), page 251-258. Association for Computational Linguistics, (2021)Is Multihop QA in DiRe Condition? Measuring and Reducing Disconnected Reasoning., , , and . EMNLP (1), page 8846-8863. Association for Computational Linguistics, (2020)Summarize-then-Answer: Generating Concise Explanations for Multi-hop Reading Comprehension., , , , and . EMNLP (1), page 6064-6080. Association for Computational Linguistics, (2021)What Ingredients Make for an Effective Crowdsourcing Protocol for Difficult NLU Data Collection Tasks?, , , , , and . ACL/IJCNLP (1), page 1221-1235. Association for Computational Linguistics, (2021)A New Approach to Syllabification of Words in Gujarati., , and . MIKE, volume 9468 of Lecture Notes in Computer Science, page 631-639. Springer, (2015)Decomposed Prompting: A Modular Approach for Solving Complex Tasks., , , , , , and . ICLR, OpenReview.net, (2023)♫ MuSiQue: Multihop Questions via Single-hop Question Composition., , , and . Trans. Assoc. Comput. Linguistics, (2022)Controlling Information Aggregation for Complex Question Answering., , , , and . ECIR, volume 10772 of Lecture Notes in Computer Science, page 750-757. Springer, (2018)DeFormer: Decomposing Pre-trained Transformers for Faster Question Answering., , , and . ACL, page 4487-4497. Association for Computational Linguistics, (2020)Repurposing Entailment for Multi-Hop Question Answering Tasks., , , , and . NAACL-HLT (1), page 2948-2958. Association for Computational Linguistics, (2019)