Logical Reasoning Question Answering
2 papers with code • 1 benchmarks • 2 datasets
Introduced by ReClor (ICLR 2020), logical reasoning is to evaluate the logical reasoning ability of models for question answering.
Benchmarks
These leaderboards are used to track progress in Logical Reasoning Question Answering
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ReClor
SUTD-TrafficQA
Most implemented papers
RussianSuperGLUE: A Russian Language Understanding Evaluation Benchmark
RussianNLP/RussianSuperGLUE
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EMNLP 2020
In this paper, we introduce an advanced Russian general language understanding evaluation benchmark -- RussianGLUE.
ReClor: A Reading Comprehension Dataset Requiring Logical Reasoning
Empirical results show that state-of-the-art models have an outstanding ability to capture biases contained in the dataset with high accuracy on EASY set.
