Papers with real-world task settings

1 papers
CRoW: Benchmarking Commonsense Reasoning in Real-World Tasks (2023.emnlp-main)

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Challenge: Recent efforts in natural language processing (NLP) commonsense reasoning research have produced a number of new datasets and benchmarks.
Approach: They propose a manually-curated, multi-task benchmark that evaluates models' ability to apply commonsense reasoning in the context of six real-world NLP tasks.
Outcome: The proposed benchmark evaluates the ability of models to apply commonsense reasoning in the context of six real-world NLP tasks.

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