---
title: "Tongshuang Wu — papers of 2022 — Elamur Research"
description: "Tongshuang Wu — papers of 2022: 3 papers on Elamur Research, the most cited first — what each work is about in our own words."
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# Tongshuang Wu — papers of 2022 — Elamur Research

3 papers · [all years of Tongshuang Wu](https://md.research.elamur.ai/free/en/authors/tongshuang-wu/#years)

- [Fantastic Questions and Where to Find Them: FairytaleQA – An Authentic Dataset for Narrative Comprehension](https://md.research.elamur.ai/free/en/papers/xu-2022-fantastic-questions-where-find-them/) — Ying Xu, Dakuo Wang, Mo Yu, et al. · Mova's core list · 137 citations

**[Tailor: Generating and Perturbing Text with Semantic Controls](https://md.research.elamur.ai/free/en/papers/ross-2022-tailor-generating-perturbing-text-semantic/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Alexis Ross, Tongshuang Wu, Hao Peng, et al.*2022 · 93 citations*

- [It is AI's Turn to Ask Humans a Question: Question-Answer Pair Generation for Children's Story Books](https://md.research.elamur.ai/free/en/papers/yao-2022-it-is-ai-s-turn/) — Bingsheng Yao, Dakuo Wang, Tongshuang Wu, et al. · English · 64 citations