---
title: "Zhendong Mao — author profile and papers — Elamur Research"
description: "Zhendong Mao, University of Science and Technology of China: 6 papers on Elamur Research (2020–2026), h-index 30 — affiliations, topics…"
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# Zhendong Mao

Zhendong Mao has 6 papers in our library, in 2020–2026, most of them on [Evaluation & benchmarks](https://md.research.elamur.ai/free/en/topics/evaluation-benchmarks/); often with [Benfeng Xu](https://md.research.elamur.ai/free/en/authors/benfeng-xu/), [Chiwei Zhu](https://md.research.elamur.ai/free/en/authors/chiwei-zhu/), [Licheng Zhang](https://md.research.elamur.ai/free/en/authors/licheng-zhang/).

6 papers in our library · 2020–2026

[OpenAlex](https://openalex.org/A5023341829) · [ORCID](https://orcid.org/0000-0001-5739-8126) · [Wikidata](https://www.wikidata.org/wiki/Q130850343) · [**h-index 30**](https://openalex.org/authors/A5023341829) · [214 works](https://openalex.org/works?filter=author.id:A5023341829) · [6,692 citations](https://openalex.org/works?filter=author.id:A5023341829&sort=cited_by_count:desc) OpenAlex, 2026-10-14

[📄 6 works in our library](https://md.research.elamur.ai/free/en/authors/zhendong-mao/#papers) · [🔗 Cited 279 times in our library](https://md.research.elamur.ai/free/en/authors/zhendong-mao/cited-by/) · [9 more in our library without a page yet](#also) · [⭐ Paper Stars ranking: #5070](https://md.research.elamur.ai/free/en/paper-stars/page/51/#star-5070)

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=Zhendong+Mao) · [Semantic Scholar](https://www.semanticscholar.org/search?q=Zhendong+Mao) · [dblp](https://dblp.org/search?q=Zhendong+Mao) · [ACL Anthology](https://aclanthology.org/search/?q=Zhendong+Mao)

## Affiliations

[🎓**University of Science and Technology of China** Hefei · China 2019–2026 · 175 papers*current*](https://md.research.elamur.ai/free/en/universities/university-of-science-and-technology-of-china/) · [🏢**Meituan** Beijing · China 2026 · 2 papers*current*](https://md.research.elamur.ai/free/en/companies/meituan/) · [🏛️**Chinese Academy of Sciences** Beijing · China 2009–2019 · 14 papers](https://md.research.elamur.ai/free/en/government/chinese-academy-of-sciences/) · [🔬**Institute of Information Engineering** Beijing · China 2015–2019 · 9 papers](https://md.research.elamur.ai/free/en/labs/institute-of-information-engineering/) · [🎓**University of Chinese Academy of Sciences** Beijing · China 2009–2019 · 4 papers](https://md.research.elamur.ai/free/en/universities/university-of-chinese-academy-of-sciences/) · [🔬**Institute of Computing Technology** Beijing · China 2012–2014 · 4 papers](https://md.research.elamur.ai/free/en/labs/institute-of-computing-technology/)

From the bylines of their papers (OpenAlex, 2026-10-14), ORCID and Wikidata; institutions on papers are matched by machine. 1 more institution on single bylines are not listed.

## Fields, topics and concepts

Of its works in our library, with the number of works on each.

📚 Shelves 8 The field of science this work belongs to (OpenAlex fields).[Arts and Humanities · 6 works](https://md.research.elamur.ai/free/en/shelves/arts-and-humanities/) · [Computer Science · 6 works](https://md.research.elamur.ai/free/en/shelves/computer-science/) · [Artificial Intelligence · 6 works](https://md.research.elamur.ai/free/en/shelves/computer-science/artificial-intelligence/) · [Language and Linguistics · 6 works](https://md.research.elamur.ai/free/en/shelves/arts-and-humanities/language-and-linguistics/) · [Information Systems · 2 works](https://md.research.elamur.ai/free/en/shelves/computer-science/information-systems/) · [Decision Sciences · 1 work](https://md.research.elamur.ai/free/en/shelves/decision-sciences/) · [Information Systems and Management · 1 work](https://md.research.elamur.ai/free/en/shelves/decision-sciences/information-systems-and-management/) · [Computer Vision and Pattern Recognition · 2 works](https://md.research.elamur.ai/free/en/shelves/computer-science/computer-vision-and-pattern-recognition/)

🧭 Topics 1 Research subjects and languages the work is about.[Evaluation & benchmarks · 1 work](https://md.research.elamur.ai/free/en/topics/evaluation-benchmarks/)

## Works by year

### 2020s

[**2026** 4 papers](https://md.research.elamur.ai/free/en/authors/zhendong-mao/year/2026/) · [**2025** 1 paper](https://md.research.elamur.ai/free/en/authors/zhendong-mao/year/2025/) · [**2020** 1 paper](https://md.research.elamur.ai/free/en/authors/zhendong-mao/year/2020/)

## Papers

The most cited first (OpenAlex and our library).

1. **[Curriculum Learning for Natural Language Understanding](https://md.research.elamur.ai/free/en/papers/xu-2020-curriculum-learning-natural-language-understanding/)** *(2020 · 240 citations)* Pre-trained language models such as BERT are usually fine-tuned on NLU tasks with training examples shuffled randomly and weighted equally.
2. **[DeepResearch Bench: A Comprehensive Benchmark for Deep Research Agents](https://md.research.elamur.ai/free/en/papers/du-2025-deepresearch-bench-comprehensive-benchmark-deep/)** *(2025 · 41 citations)* Deep Research Agents (DRAs) are LLM systems that search the web over many steps and turn what they find into long, cited reports.
3. **[FS-Researcher: Test-Time Scaling for Long-Horizon Research Tasks with File-System-Based Agents](https://md.research.elamur.ai/free/en/papers/zhu-2026-fs-researcher-test-time-scaling/)** *(2026 · 1 citation)* Deep research agents must browse many webpages and produce long reports, but their trajectories quickly exceed the model's context window.
4. **[WildGraphBench: Benchmarking GraphRAG with Wild-Source Corpora](https://md.research.elamur.ai/free/en/papers/wang-2026-wildgraphbench-benchmarking-graphrag-wild-source/)** *(2026 · 1 citation)* Most GraphRAG benchmarks use short, pre-cleaned passages. That makes it hard to judge how graph-based retrieval copes with long, messy, mixed-source document collections, the setting where it should help most. WildGraphBench fills this gap using Wikipedia. Articles from 12 top-level topics are sampled. The external…
5. **[LAFaCT: Attribution-based Localization and Focused Sequential Analysis of Fact-Critical Tokens for Hallucination Detection](https://md.research.elamur.ai/free/en/papers/wang-2026-lafact-attribution-based-localization-focused/)** *(2026)* The paper tackles hallucination detection in LLMs using white-box access to hidden states. The authors argue that existing white-box detectors are poorly targeted. Some probe a single fixed token, such as the last one, and miss signals spread across the sequence. Others pool all tokens, so irrelevant tokens add noise.
6. **[Zero-Shot Detection of LLM-Generated Text using Temperature Sensitivity](https://md.research.elamur.ai/free/en/papers/ma-2026-zero-shot-detection-llm-generated/)** *(2026)* Zero-shot detectors of machine-written text usually score a passage with a single surrogate-model statistic, such as LogPPL or Entropy.

## All works

15 works of theirs in our library, the most cited first; 6 with a page here, the others link their original until we summarise them.

1. **[Curriculum Learning for Natural Language Understanding](https://md.research.elamur.ai/free/en/papers/xu-2020-curriculum-learning-natural-language-understanding/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Benfeng Xu, Licheng Zhang, Zhendong Mao, et al.*2020 · 240 citations*
2. **[Entity Structure Within and Throughout: Modeling Mention Dependencies for Document-Level Relation Extraction ↗](https://doi.org/10.1609/aaai.v35i16.17665) Proceedings of the AAAI Conference on Artificial Intelligence · no summary yet**Benfeng Xu et al.*2021 · 237 citations*
3. **[Negative-Aware Attention Framework for Image-Text Matching ↗](https://doi.org/10.1109/cvpr52688.2022.01521) IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings · no summary yet**Kun Zhang et al.*2022 · 206 citations*
4. **[ExpertPrompting: Instructing Large Language Models to be Distinguished Experts ↗](https://arxiv.org/abs/2305.14688) arXiv:2305.14688 · no summary yet**Benfeng Xu et al.*2023 · 128 citations*
5. **[Learning Semantic Relationship among Instances for Image-Text Matching ↗](https://doi.org/10.1109/cvpr52729.2023.01455) IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings · no summary yet**Zheren Fu et al.*2023 · 119 citations*
6. **[UniRel: Unified Representation and Interaction for Joint Relational Triple Extraction ↗](https://aclanthology.org/2022.emnlp-main.477/) Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing · no summary yet**Wei Tang et al.*2022 · 81 citations*
7. **[Show Your Faith: Cross-Modal Confidence-Aware Network for Image-Text Matching ↗](https://doi.org/10.1609/aaai.v36i3.20235) Proceedings of the AAAI Conference on Artificial Intelligence · no summary yet**Huatian Zhang et al.*2022 · 80 citations*
8. [**DeepResearch Bench: A Comprehensive Benchmark for Deep Research Agents arXiv:2506.11763**Mingxuan Du, Benfeng Xu, Chiwei Zhu, et al.*2025 · 41 citations*](https://md.research.elamur.ai/free/en/papers/du-2025-deepresearch-bench-comprehensive-benchmark-deep/)
9. **[Text Style Transfer with Contrastive Transfer Pattern Mining ↗](https://aclanthology.org/2023.acl-long.439/) Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers) · no summary yet**Jingxuan Han et al.*2023 · 15 citations*
10. **[Disentangled Learning with Synthetic Parallel Data for Text Style Transfer ↗](https://aclanthology.org/2024.acl-long.811/) Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers) · no summary yet**Jingxuan Han et al.*2024 · 11 citations*
11. **[FS-Researcher: Test-Time Scaling for Long-Horizon Research Tasks with File-System-Based Agents](https://md.research.elamur.ai/free/en/papers/zhu-2026-fs-researcher-test-time-scaling/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Chiwei Zhu, Benfeng Xu, Mingxuan Du, et al.*2026 · 1 citation*
12. **[WildGraphBench: Benchmarking GraphRAG with Wild-Source Corpora](https://md.research.elamur.ai/free/en/papers/wang-2026-wildgraphbench-benchmarking-graphrag-wild-source/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Pengyu Wang, Benfeng Xu, Licheng Zhang, et al.*2026 · 1 citation*
13. **[LAFaCT: Attribution-based Localization and Focused Sequential Analysis of Fact-Critical Tokens for Hallucination Detection](https://md.research.elamur.ai/free/en/papers/wang-2026-lafact-attribution-based-localization-focused/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Xin Wang, Jiahao Li, Licheng Zhang, et al.*2026*
14. **[Zero-Shot Detection of LLM-Generated Text using Temperature Sensitivity](https://md.research.elamur.ai/free/en/papers/ma-2026-zero-shot-detection-llm-generated/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Shixuan Ma, Jiahao Li, Zhendong Mao, et al.*2026*
15. **[CodeRipple: Wavelet-Based Detection of LLM-Generated Code ↗](https://aclanthology.org/2026.acl-long.1777/) Proceedings of the 64th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers) · no summary yet**Xingyu Yao, Zhendong Mao, Quan Wang*2026*

## Co-authors here

11 co-authors with a page, the most papers together first.

- [Benfeng Xu](https://md.research.elamur.ai/free/en/authors/benfeng-xu/) ×4
- [Chiwei Zhu](https://md.research.elamur.ai/free/en/authors/chiwei-zhu/) ×3
- [Licheng Zhang](https://md.research.elamur.ai/free/en/authors/licheng-zhang/) ×3
- [Mingxuan Du](https://md.research.elamur.ai/free/en/authors/mingxuan-du/) ×3
- [Jiahao Li](https://md.research.elamur.ai/free/en/authors/jiahao-li/) ×2
- [Quan Wang](https://md.research.elamur.ai/free/en/authors/quan-wang/) ×2
- [Shaohan Wang](https://md.research.elamur.ai/free/en/authors/shaohan-wang/) ×2
- [Xiaorui Wang](https://md.research.elamur.ai/free/en/authors/xiaorui-wang/) ×2
- [Yongdong Zhang](https://md.research.elamur.ai/free/en/authors/yongdong-zhang/) ×2
- [Pengyu Wang](https://md.research.elamur.ai/free/en/authors/pengyu-wang/)
- [Xin Wang](https://md.research.elamur.ai/free/en/authors/xin-wang/)

## Venues

Where their works here were published, the most works first, with the editions of those that have a page.

- [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/) ×7: [ACL 2026](https://md.research.elamur.ai/free/en/venues/acl/2026/) ×3, [ACL 2020](https://md.research.elamur.ai/free/en/venues/acl/2020/)
- IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings ×2
- Proceedings of the AAAI Conference on Artificial Intelligence ×2
- [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/): [Findings of the Association for Computational Linguistics 2026](https://md.research.elamur.ai/free/en/venues/findings/2026/)
- Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing

## Cited by

Papers of our library cite their works 279 times (of the 149,439 papers whose bibliographies we read); [36 citing papers with a page here →](https://md.research.elamur.ai/free/en/authors/zhendong-mao/cited-by/).

Updated 1 November 2026