---
title: "Zheng Zhang — papers and cards"
description: "Zheng Zhang: 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/zheng-zhang/"
---
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# Zheng Zhang

2 paper cards in the Research library · 2022

Zheng Zhang 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/A5081039383) · [ORCID](https://orcid.org/0000-0002-7040-2326) · [**h-index 10**](https://openalex.org/authors/A5081039383) · [573 citations](https://openalex.org/authors/A5081039383) · [23 works](https://openalex.org/works?filter=author.id:A5081039383) — 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=Zheng+Zhang) · [Semantic Scholar](https://www.semanticscholar.org/search?q=Zheng+Zhang) · [dblp](https://dblp.org/search?q=Zheng+Zhang) · [ACL Anthology](https://aclanthology.org/search/?q=Zheng+Zhang) · [ORCID](https://orcid.org/orcid-search/search?searchQuery=Zheng+Zhang)

## 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
- [Tongshuang Wu](https://md.research.elamur.ai/free/en/authors/tongshuang-wu/) ×2
- [Ying Xu](https://md.research.elamur.ai/free/en/authors/ying-xu/) ×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 (7)

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

- [DAPO: An Open-Source LLM Reinforcement Learning System at Scale](https://md.research.elamur.ai/free/en/papers/yu-2025-dapo-open-source-llm-reinforcement/) — Qiying Yu, Zheng Zhang, Ruofei Zhu, et al. · 2025
- [Synergetic Event Understanding: A Collaborative Approach to Cross-Document Event Coreference Resolution with Large Language Models](https://md.research.elamur.ai/free/en/papers/min-2024-synergetic-event-understanding-collaborative-approach/) — Qingkai Min, Qipeng Guo, Xiangkun Hu, et al. · 2024
- [Dual Cache for Long Document Neural Coreference Resolution](https://md.research.elamur.ai/free/en/papers/guo-2023-dual-cache-long-document-neural/) — Qipeng Guo, Xiangkun Hu, Yue Zhang, et al. · 2023
- [A Unified Generative Framework for Aspect-based Sentiment Analysis](https://md.research.elamur.ai/free/en/papers/yan-2021-unified-generative-framework-aspect-based/) — Hang Yan, Junqi Dai, Tuo Ji, et al. · 2021
- [A Unified Generative Framework for Various NER Subtasks](https://md.research.elamur.ai/free/en/papers/yan-2021-unified-generative-framework-various-ner/) — Hang Yan, Tao Gui, Junqi Dai, et al. · 2021
- [Swin Transformer: Hierarchical Vision Transformer using Shifted Windows](https://md.research.elamur.ai/free/en/papers/liu-2021-swin-transformer-hierarchical-vision-transformer/) — Ze Liu, Yutong Lin, Yue Cao, et al. · 2021
- [MXNet: A Flexible and Efficient Machine Learning Library for Heterogeneous Distributed Systems](https://md.research.elamur.ai/free/en/papers/chen-2015-mxnet-flexible-efficient-machine-learning/) — Tianqi Chen, Mu Li, Yutian Li, et al. · 2015