Commonsense Causal Reasoning

Description from the archive archive 2025-07-28.

Benchmarks archive 2025-07-28

No benchmark for this task in the archive.

Libraries

Not in the archive: the export carries no per-task library table, so there is nothing to show at snapshot 2025-07-28.

Datasets archive 2025-07-28

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

Subtasks archive 2025-07-28

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Most implemented papers archive 2025-07-28

7 shown of 7 papers with code (13 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.

• CLadder: Assessing Causal Reasoning in Language Models
  7 Dec 2023 2 repositories listed Syntology ran 15 of 19 samples · 4 unverified
  Much of the existing work in natural language processing (NLP) focuses on evaluating commonsense causal reasoning in LLMs, thus failing to assess whether a model can perform causal inference in accordance with a set of…
• COLD: Causal reasOning in cLosed Daily activities
  29 Nov 2024 1 repository listed Syntology ran 3 of 3 samples · 0 unverified · 3 pointer-only (licence)
  Large Language Models (LLMs) have shown state-of-the-art performance in a variety of tasks, including arithmetic and reasoning; however, to gauge the intellectual capabilities of LLMs, causal reasoning has become a…
• COLA: Contextualized Commonsense Causal Reasoning from the Causal Inference Perspective
  9 May 2023 1 repository listed Syntology ran 3 of 18 samples · 15 unverified
  This paper proposes a new task to detect commonsense causation between two events in an event sequence (i.
• Knowledge-Augmented Language Models for Cause-Effect Relation Classification
  16 Dec 2021 1 repository listed Syntology ran 2 of 2 samples · 0 unverified · 2 pointer-only (licence)
  Previous studies have shown the efficacy of knowledge augmentation methods in pretrained language models.
• HeadlineCause: A Dataset of News Headlines for Detecting Causalities
  28 Aug 2021 1 repository listed
  In this work, we present HeadlineCause, a dataset for detecting implicit causal relations between pairs of news headlines.
• Doing Good or Doing Right? Exploring the Weakness of Commonsense Causal Reasoning Models
  5 Jul 2021 1 repository listed
  We mitigate this problem by simply adding a regularization loss and experimental results show that this solution not only improves the model's generalization ability, but also assists the models to perform more robustly…
• Visual Choice of Plausible Alternatives: An Evaluation of Image-based Commonsense Causal Reasoning
  1 May 2018 1 repository listed

Syntology lines on 4 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.