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Previously on the Stories: Recap Snippet Identification for Story Reading

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arxiv 2402.07271 v1 pith:NUENS6LV submitted 2024-02-11 cs.CL

Jiangnan Li , Qiujing Wang , Liyan Xu , Wenjie Pang , Mo Yu , Zheng Lin , Weiping Wang , Jie Zhou This is my paper · ORCID
classification cs.CL
keywords taskidentificationplotproposedreadingrecapsnippetapplication
verification ladder T0 review T1 audit T2 compute T3 formal
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Similar to the "previously-on" scenes in TV shows, recaps can help book reading by recalling the readers' memory about the important elements in previous texts to better understand the ongoing plot. Despite its usefulness, this application has not been well studied in the NLP community. We propose the first benchmark on this useful task called Recap Snippet Identification with a hand-crafted evaluation dataset. Our experiments show that the proposed task is challenging to PLMs, LLMs, and proposed methods as the task requires a deep understanding of the plot correlation between snippets.

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  1. The Stochastic Parrot on LLM's Shoulder: A Summative Assessment of Physical Concept Understanding

    cs.CL 2025-02 conditional novelty 5.0 of 10

    A new grid-based benchmark, PhysiCo, shows LLMs can recall and describe physical concepts in text yet lag humans by about 40% when the same concepts are presented as abstract grid transformations.

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