Logical Reasoning Reading Comprehension

Description from the archive archive 2025-07-28.

Benchmarks archive 2025-07-28

No benchmark for this task in the archive.

Libraries

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Datasets archive 2025-07-28

2 datasets whose archive record lists this task, ordered by the archive's paper count.

Subtasks archive 2025-07-28

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Parent tasks archive 2025-07-28

Most implemented papers archive 2025-07-28

4 shown of 4 papers with code (4 tagged with this task in all), ordered by repositories listed in the archive, not by stars (the archive holds no stars, so PwC's “Social” and “Latest” sorts cannot be reproduced). Papers without a page here are shown as plain text.

• LogiQA 2.0—An Improved Dataset for Logical Reasoning in Natural Language Understanding
  6 Jun 2023 1 repository listed
  The dataset is an amendment and re-annotation of LogiQA in 2020, a large-scale logical reasoning reading comprehension dataset adapted from the Chinese Civil Service Examination.
• Abstract Meaning Representation-Based Logic-Driven Data Augmentation for Logical Reasoning
  21 May 2023 1 repository listed
  Combining large language models with logical reasoning enhances their capacity to address problems in a robust and reliable manner.
• DeepA2: A Modular Framework for Deep Argument Analysis with Pretrained Neural Text2Text Language Models
  4 Oct 2021 1 repository listed
  In this paper, we present and implement a multi-dimensional, modular framework for performing deep argument analysis (DeepA2) using current pre-trained language models (PTLMs).
• ReClor: A Reading Comprehension Dataset Requiring Logical Reasoning
  11 Feb 2020 1 repository listed Syntology ran 0 of 2 samples · 2 unverified · 2 pointer-only (licence)
  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.

Syntology lines on 1 of the papers shown; no Syntology record for the others (a paper without an arXiv id cannot be joined to the graph, and absence from the graph layer is not a recorded non-run). “Ran” means the sample executed on a synthesized fixture, not that the paper's result was reproduced. Read from the graph 2026-09-24.