🧑‍🔬 Zhendong Mao

🏛️ Affiliations

🎓University of Science and Technology of ChinaHefei · China2019–2026 · 175 paperscurrent🏢MeituanBeijing · China2026 · 2 paperscurrent🏛️Chinese Academy of SciencesBeijing · China2009–2019 · 14 papers🔬Institute of Information EngineeringBeijing · China2015–2019 · 9 papers🎓University of Chinese Academy of SciencesBeijing · China2009–2019 · 4 papers🔬Institute of Computing TechnologyBeijing · China2012–2014 · 4 papers

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.

📅 Works by year

2020s

📄 Papers

The most cited first (OpenAlex and our library).

1. Curriculum Learning for 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 (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 (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 (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 (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 (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 UnderstandingAnnual Meeting of the Association for Computational Linguistics (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 ↗Proceedings of the AAAI Conference on Artificial Intelligence · no summary yetBenfeng Xu et al.2021 · 237 citations
3. Negative-Aware Attention Framework for Image-Text Matching ↗IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings · no summary yetKun Zhang et al.2022 · 206 citations
4. ExpertPrompting: Instructing Large Language Models to be Distinguished Experts ↗arXiv:2305.14688 · no summary yetBenfeng Xu et al.2023 · 128 citations
5. Learning Semantic Relationship among Instances for Image-Text Matching ↗IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings · no summary yetZheren Fu et al.2023 · 119 citations
6. UniRel: Unified Representation and Interaction for Joint Relational Triple Extraction ↗Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing · no summary yetWei Tang et al.2022 · 81 citations
7. Show Your Faith: Cross-Modal Confidence-Aware Network for Image-Text Matching ↗Proceedings of the AAAI Conference on Artificial Intelligence · no summary yetHuatian Zhang et al.2022 · 80 citations
8. DeepResearch Bench: A Comprehensive Benchmark for Deep Research AgentsarXiv:2506.11763Mingxuan Du, Benfeng Xu, Chiwei Zhu, et al.2025 · 41 citations
9. Text Style Transfer with Contrastive Transfer Pattern Mining ↗Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers) · no summary yetJingxuan Han et al.2023 · 15 citations
10. Disentangled Learning with Synthetic Parallel Data for Text Style Transfer ↗Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers) · no summary yetJingxuan Han et al.2024 · 11 citations
11. FS-Researcher: Test-Time Scaling for Long-Horizon Research Tasks with File-System-Based AgentsAnnual Meeting of the Association for Computational Linguistics (ACL)Chiwei Zhu, Benfeng Xu, Mingxuan Du, et al.2026 · 1 citation
12. WildGraphBench: Benchmarking GraphRAG with Wild-Source CorporaFindings of the Association for Computational LinguisticsPengyu 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 DetectionAnnual Meeting of the Association for Computational Linguistics (ACL)Xin Wang, Jiahao Li, Licheng Zhang, et al.2026
14. Zero-Shot Detection of LLM-Generated Text using Temperature SensitivityAnnual Meeting of the Association for Computational Linguistics (ACL)Shixuan Ma, Jiahao Li, Zhendong Mao, et al.2026
15. CodeRipple: Wavelet-Based Detection of LLM-Generated Code ↗Proceedings of the 64th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers) · no summary yetXingyu Yao, Zhendong Mao, Quan Wang2026

🤝 Co-authors here

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

• Benfeng Xu ×4
• Chiwei Zhu ×3
• Licheng Zhang ×3
• Mingxuan Du ×3
• Jiahao Li ×2
• Quan Wang ×2
• Shaohan Wang ×2
• Xiaorui Wang ×2
• Yongdong Zhang ×2
• Pengyu Wang
• 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) ×7: ACL 2026 ×3, 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: Findings of the Association for Computational Linguistics 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 →.

Updated 1 November 2026

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