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Henry Peng Zou

Henry Peng Zou has 6 papers in our library, in 2024–2026, most of them on Language models & pretraining, Reasoning; often with Weizhi Zhang, Yankai Chen, Hanrong Zhang.

6 papers in our library · 2024–2026

OpenAlex · ORCID · h-index 9 · 86 works · 173 citations OpenAlex, 2026-10-14

📄 6 works in our library · 🔗 Cited 85 times in our library · 1 more in our library without a page yet · ⭐ Paper Stars ranking: #6521

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

Elsewhere: Google Scholar · Semantic Scholar · dblp · ACL Anthology

 Affiliations

🎓University of Illinois ChicagoChicago · United States2023–2026 · 63 papersEmployment · Computer Sciencecurrent🎓University of ChicagoChicago · United States2026 · 2 paperscurrent🎓Rush UniversityChicago · United States2026 · 1 papercurrent🎓Washington University in St. LouisSt Louis · United States2024 · 4 papers

From the bylines of their papers (OpenAlex, 2026-10-14), ORCID and Wikidata; institutions on papers are matched by machine.

 Fields, topics and concepts

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

📚 Shelves 8The field of science this work belongs to (OpenAlex fields).Arts and Humanities · 6 worksComputer Science · 6 worksArtificial Intelligence · 6 worksLanguage and Linguistics · 6 worksGeneral Social Sciences · 1 workSocial Sciences · 1 workComputer Vision and Pattern Recognition · 1 workInformation Systems · 1 work

🧭 Topics 2Research subjects and languages the work is about.Language models & pretraining · 3 worksReasoning · 1 work

 Works by year

2020s

20263 papers20252 papers20241 paper

 Papers

The most cited first (OpenAlex and our library).

  1. LLMs Assist NLP Researchers: Critique Paper (Meta-)Reviewing (2024 · 71 citations)
    This EMNLP 2024 paper asks whether large language models can take on part of the growing peer-review burden in NLP, both as reviewers and as meta-reviewers who audit individual reviews.
  2. Towards Agentic RAG with Deep Reasoning: A Survey of RAG-Reasoning Systems in LLMs (2025 · 17 citations)
    Large language models face two linked weaknesses. Their stored knowledge is fixed and can be wrong, and they struggle with problems that need several reasoning steps. Retrieval-Augmented Generation (RAG) addresses the first, and reasoning techniques such as Chain-of-Thought address the second. This survey argues that…
  3. Towards Data Contamination Detection for Modern Large Language Models: Limitations, Inconsistencies, and Oracle Challenges (2025 · 16 citations)
    Data contamination detectors for LLMs have mostly been validated on older, widely circulated benchmarks and early models such as GPT-J.
  4. LLM-Based Human-Agent Collaboration and Interaction Systems: A Survey (2026 · 12 citations)
    Fully autonomous LLM agents remain hard to trust in practice. They hallucinate, especially across chained actions. They also falter on long, expertise-heavy tasks and raise safety, bias and accountability concerns in areas such as finance or healthcare. This survey argues for keeping people in the loop and gives what…
  5. GAM: Hierarchical Graph-based Agentic Memory for LLM Agents (2026 · 5 citations)
    LLM agents in long conversations must absorb new information without letting passing chatter corrupt what they already know.
  6. Active Generalized Category Discovery with Diverse LLM Feedback (2026 · 1 citation)
    The paper addresses Generalized Category Discovery (GCD) for text. In GCD, a model must sort unlabeled data into both previously known and entirely new categories, using only a small labeled set drawn from the known ones. Earlier GCD approaches combine contrastive learning with K-Means++ clustering. Without extra…

All works

7 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. LLMs Assist NLP Researchers: Critique Paper (Meta-)ReviewingConference on Empirical Methods in Natural Language Processing (EMNLP)Jiangshu Du, Yibo Wang, Wenting Zhao, et al.2024 · 71 citations
  2. Towards Agentic RAG with Deep Reasoning: A Survey of RAG-Reasoning Systems in LLMsarXiv:2507.09477Yangning Li, Weizhi Zhang, Yuyao Yang, et al.2025 · 17 citations
  3. Towards Data Contamination Detection for Modern Large Language Models: Limitations, Inconsistencies, and Oracle ChallengesInternational Conference on Computational Linguistics (COLING)Vinay Samuel, Yue Zhou, Henry Peng Zou2025 · 16 citations
  4. LLM-Based Human-Agent Collaboration and Interaction Systems: A SurveyFindings of the Association for Computational LinguisticsHenry Peng Zou, Wei-Chieh Huang, Yaozu Wu, et al.2026 · 12 citations
  5. GAM: Hierarchical Graph-based Agentic Memory for LLM AgentsAnnual Meeting of the Association for Computational Linguistics (ACL)Zhaofen Wu, Hanrong Zhang, Fulin Lin, et al.2026 · 5 citations
  6. Active Generalized Category Discovery with Diverse LLM FeedbackConference of the European Chapter of the Association for Computational Linguistics (EACL)Henry Peng Zou, Siffi Singh, Yi Nian, et al.2026 · 1 citation
  7. The Curse of Verbalization: How Presentation Order Constrains LLM Reasoning ↗Findings of the Association for Computational Linguistics: EACL 2026 · no summary yetYue Zhou et al.2026

 Co-authors here

12 of 33 co-authors with a page, the most papers together first.

Venues

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

 Cited by

Papers of our library cite their works 85 times (of the 149,439 papers whose bibliographies we read); 28 citing papers with a page here →.

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