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12/20/2022
To Adapt or to Annotate: Challenges and Interventions for Domain Adaptation in Open-Domain Question Answering
Recent advances in open-domain question answering (ODQA) have demonstrat...
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12/08/2022
Successive Prompting for Decomposing Complex Questions
Answering complex questions that require making latent decisions is a ch...
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10/15/2021
Tricks for Training Sparse Translation Models
Multi-task learning with an unbalanced data distribution skews model lea...
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04/18/2021
Generative Context Pair Selection for Multi-hop Question Answering
Compositional reasoning tasks like multi-hop question answering, require...
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04/18/2021
Learning with Instance Bundles for Reading Comprehension
When training most modern reading comprehension models, all the question...
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10/06/2020
Easy, Reproducible and Quality-Controlled Data Collection with Crowdaq
High-quality and large-scale data are key to success for AI systems. How...
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04/06/2020
Evaluating NLP Models via Contrast Sets
Standard test sets for supervised learning evaluate in-distribution gene...
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12/29/2019
ORB: An Open Reading Benchmark for Comprehensive Evaluation of Machine Reading Comprehension
Reading comprehension is one of the crucial tasks for furthering researc...
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04/05/2019
PoMo: Generating Entity-Specific Post-Modifiers in Context
We introduce entity post-modifier generation as an instance of a collabo...
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03/01/2019
DROP: A Reading Comprehension Benchmark Requiring Discrete Reasoning Over Paragraphs
Reading comprehension has recently seen rapid progress, with systems mat...
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10/31/2017