mlsanityData to 14 Oct 2026

Incorporating Task-specific Concept Knowledge into Script Learning

arXiv 2209.00068 ↗First posted 31 Aug 2022cs.CL cs.LGcited by 3

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Abstract (arXiv)

In this paper, we present Tetris, a new task of Goal-Oriented Script Completion. Unlike previous work, it considers a more realistic and general setting, where the input includes not only the goal but also additional user context, including preferences and history. To address this problem, we propose a novel approach, which uses two techniques to improve performance: (1) concept prompting, and (2) script-oriented contrastive learning that addresses step repetition and hallucination problems. On our WikiHow-based dataset, we find that both methods improve performance. The dataset, repository, and models will be publicly available to facilitate further research on this new task.

Key facts. Cited by 3 papers in the map (data through 14 Oct 2026). Builds on 39 of its 61 references that are in the map. First posted on arXiv 31 Aug 2022.

Builds on

39 of 61 references.

References · 39

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27 more
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Cited by year

Citing papers per year: 2023: 2; 2024: 0; 2025: 1.

3 papers.

  1. 2023Decoding the Silent Majority: Inducing Belief Augmented Social Graph with Large Language Model for Response Forecastingcited by 11
  2. 2025EcomScriptBench: A Multi-task Benchmark for E-commerce Script Planning via Step-wise Intention-Driven Product Associationcited by 10
  3. 2023Unsupervised Task Graph Generation from Instructional Video Transcriptscited by 6