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.
Most implemented papers
RussianSuperGLUE: A Russian Language Understanding Evaluation Benchmark
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.