---
title: "Tongshuang Wu — papers and cards"
description: "Tongshuang Wu: 2 paper cards in the Research library (2022), with what each paper is about, the ideas Mova took from it, and the co-authors."
canonical: "https://research.elamur.ai/free/en/authors/tongshuang-wu/"
---
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# Tongshuang Wu

2 paper cards in the Research library · 2022

Tongshuang Wu wrote 2 of the papers Mova reads, in 2022; often with [Bingsheng Yao](https://md.research.elamur.ai/free/en/authors/bingsheng-yao/), [Dakuo Wang](https://md.research.elamur.ai/free/en/authors/dakuo-wang/), [Mo Yu](https://md.research.elamur.ai/free/en/authors/mo-yu/).

[OpenAlex](https://openalex.org/A5004225142) · [ORCID](https://orcid.org/0000-0003-1630-0588) · [**h-index 24**](https://openalex.org/authors/A5004225142) · [4172 citations](https://openalex.org/authors/A5004225142) · [95 works](https://openalex.org/works?filter=author.id:A5004225142) — openalex-snapshot, 2026-10-14

The profile is the library's match of the name; two people with one name are not always told apart.

Elsewhere: [Google Scholar](https://scholar.google.com/citations?view_op=search_authors&mauthors=Tongshuang+Wu) · [Semantic Scholar](https://www.semanticscholar.org/search?q=Tongshuang+Wu) · [dblp](https://dblp.org/search?q=Tongshuang+Wu) · [ACL Anthology](https://aclanthology.org/search/?q=Tongshuang+Wu) · [ORCID](https://orcid.org/orcid-search/search?searchQuery=Tongshuang+Wu)

## Papers

1. **[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/)** *(2022)* FairytaleQA is a question-answering dataset for narrative comprehension aimed at the reading level of kindergarten to eighth-grade children.
2. **[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/)** *(2022)* The paper generates question–answer pairs for children's storybooks the way a teacher would ask them, using FairytaleQA (278 classic fairy tales, 10,580 QA pairs written by education experts and labelled with seven narrative elements from Paris & Paris: character, setting, feeling, action, causal relationship…

## Co-authors (17)

- [Bingsheng Yao](https://md.research.elamur.ai/free/en/authors/bingsheng-yao/) ×2
- [Dakuo Wang](https://md.research.elamur.ai/free/en/authors/dakuo-wang/) ×2
- [Mo Yu](https://md.research.elamur.ai/free/en/authors/mo-yu/) ×2
- [Toby Jia-Jun Li](https://md.research.elamur.ai/free/en/authors/toby-jia-jun-li/) ×2
- [Ying Xu](https://md.research.elamur.ai/free/en/authors/ying-xu/) ×2
- [Zheng Zhang](https://md.research.elamur.ai/free/en/authors/zheng-zhang/) ×2
- Branda Sun
- Daniel Ritchie
- [Diyi Yang](https://md.research.elamur.ai/free/en/authors/diyi-yang/)
- Mark Warschauer
- [Nanyun Peng](https://md.research.elamur.ai/free/en/authors/nanyun-peng/)
- Nora Bradford
- Tran Bao Hoang
- Xiaojuan Ma
- Yisi Sang
- [Yufang Hou](https://md.research.elamur.ai/free/en/authors/yufang-hou/)
- [Zhou Yu](https://md.research.elamur.ai/free/en/authors/zhou-yu/)

## More papers in the library (3)

Pages of the Research library: our summary, the ideas, references and who cites each.

- [Proceedings of the Fourth Workshop on Bridging Human-Computer Interaction and Natural Language Processing (HCI+NLP)](https://md.research.elamur.ai/free/en/papers/anon-2025-proceedings-fourth-workshop-bridging-human/) — Su Lin Blodgett, Amanda Cercas Curry, Sunipa Dev, et al. · 2025
- [Bridging the Gap: A Survey on Integrating (Human) Feedback for Natural Language Generation](https://md.research.elamur.ai/free/en/papers/fernandes-2023-bridging-gap-survey-integrating-human/) — Patrick Fernandes, Aman Madaan, Emmy Liu, et al. · 2023
- [Polyjuice: Generating Counterfactuals for Explaining, Evaluating, and Improving Models](https://md.research.elamur.ai/free/en/papers/wu-2021-polyjuice-generating-counterfactuals-explaining-evaluating/) — Tongshuang Wu, Marco Tulio Ribeiro, Jeffrey Heer, et al. · 2021