mlsanityData to 7 Oct 2026

Possible Stories: Evaluating Situated Commonsense Reasoning under Multiple Possible Scenarios

arXiv 2209.07760 ↗First posted 16 Sep 2022cs.CL cs.AIcited by 3

On the map: LLM reasoning → Reasoning benchmarks and evaluation

Abstract (arXiv)

The possible consequences for the same context may vary depending on the situation we refer to. However, current studies in natural language processing do not focus on situated commonsense reasoning under multiple possible scenarios. This study frames this task by asking multiple questions with the same set of possible endings as candidate answers, given a short story text. Our resulting dataset, Possible Stories, consists of more than 4.5K questions over 1.3K story texts in English. We discover that even current strong pretrained language models struggle to answer the questions consistently, highlighting that the highest accuracy in an unsupervised setting (60.2%) is far behind human accuracy (92.5%). Through a comparison with existing datasets, we observe that the questions in our dataset contain minimal annotation artifacts in the answer options. In addition, our dataset includes examples that require counterfactual reasoning, as well as those requiring readers' reactions and fictional information, suggesting that our dataset can serve as a challenging testbed for future studies on situated commonsense reasoning.

Key facts. Cited by 3 papers in the map (data through 7 Oct 2026). Placed in Reasoning benchmarks and evaluation, one of 17 directions in LLM reasoning. Builds on 39 of its 61 references that are in the map. First posted on arXiv 16 Sep 2022.

Builds on

39 of 61 references.

References · 39

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27 more
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Citing papers per year: 2023: 2; 2024: 1.

3 papers.

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  1. 2022rmC small IS2: A Simplified Commonsense Inference Evaluation for Story Prose
  2. 2023SituatedGen: Incorporating Geographical and Temporal Contexts into Generative Commonsense Reasoning
  3. 2023An Overview Of Temporal Commonsense Reasoning and Acquisition
  4. 2024Plausibly Problematic Questions in Multiple-Choice Benchmarks for Commonsense Reasoning
  5. 2024Rule or Story, Which is a Better Commonsense Expression for Talking with Large Language Models?
  6. 2023CRoW: Benchmarking Commonsense Reasoning in Real-World Tasks
  7. 2023Commonsense Reasoning for Conversational AI: A Survey of the State of the Art
  8. 2024What Really is Commonsense Knowledge?