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Zeyu Zhang

Zeyu Zhang has 7 papers in our library, in 2023–2026, most of them on Language models & pretraining, Reasoning, Evaluation & benchmarks; often with Chen Ma, Xu Chen, Biao Wu.

7 papers in our library · 2023–2026

OpenAlex · h-index 2 · 4 works · 5 citations OpenAlex, 2026-10-14

📄 7 works in our library · 🔗 Cited 518 times in our library · 1 more in our library without a page yet · ⭐ Paper Stars ranking: #1300

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

🎓Australian National UniversityCanberra · Australia2026 · 1 papercurrent🎓Renmin University of ChinaBeijing · China2026 · 1 papercurrent

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 9The field of science this work belongs to (OpenAlex fields).Computer Science · 7 worksArtificial Intelligence · 7 worksArts and Humanities · 6 worksLanguage and Linguistics · 6 worksComputer Vision and Pattern Recognition · 2 worksSafety Research · 1 workSocial Sciences · 1 workMedicine · 1 workHealth Informatics · 1 work

🧭 Topics 5Research subjects and languages the work is about.Reasoning · 3 worksEvaluation & benchmarks · 2 worksLanguage models & pretraining · 3 worksBias, fairness & safety · 2 worksSpeech & spoken language · 1 work

💡 Concepts 2Key ideas and methods explained on our concept pages.Language model · 1 workLarge language models · 1 work

 Works by year

2020s

20264 papers20242 papers20231 paper

 Papers

The most cited first (OpenAlex and our library).

  1. A Survey on Large Language Model based Autonomous Agents (2023 · 2,284 citations)
    The survey maps the fast-growing research on autonomous agents that use a large language model as their central controller.
  2. Evaluation of OpenAI o1: Opportunities and Challenges of AGI (2024 · 64 citations)
    The paper examines how close OpenAI's o1-preview comes to general-purpose intelligence. o1-preview is a model trained with reinforcement learning to work through chain-of-thought reasoning before it answers. A large multi-institution team tested it on 27 task categories, mostly built from public datasets. These span…
  3. Role-Play Paradox in Large Language Models: Reasoning Performance Gains and Ethical Dilemmas (2024 · 9 citations)
    Role-play prompting, where an LLM is told to act as a teacher, scriptwriter, or even an object like a coin, is known to improve reasoning.
  4. Audio Jailbreak: An Open Comprehensive Benchmark for Jailbreaking Large Audio-Language Models (2026 · 3 citations)
    Large Audio-Language Models (LAMs) can be pushed into producing harmful content, yet their safety has rarely been measured systematically.
  5. MMCLIP: Cross-Modal Attention Masked Modelling for Medical Language-Image Pre-Training (2026 · 3 citations)
    Medical vision-and-language pretraining usually pairs contrastive learning with masked modelling. Random masking, however, tends to miss small pathological details, and most methods train on either paired image–report data or image-only data, not both. MMCLIP addresses this with two masking modules built on CLIP.…
  6. CoV: Chain-of-View Prompting for Spatial Reasoning (2026 · 2 citations)
    Vision–language models (VLMs) used for embodied question answering (EQA) in 3D scenes usually receive a small, fixed set of frames.
  7. From Coarse to Fine: Self-Adaptive Hierarchical Planning for LLM Agents (2026)
    LLM agents that plan explicitly usually produce plans at a single, fixed level of detail. Such plans are too verbose for easy tasks and too shallow for hard ones. The authors propose AdaPlan-H, a planner inspired by the cognitive-science idea of progressive refinement. It first drafts a coarse global plan and then…

All works

8 works of theirs in our library, the most cited first; 7 with a page here, the others link their original until we summarise them.

  1. A Survey on Large Language Model based Autonomous AgentsFrontiers of Computer ScienceLei Wang, Chen Ma, Xueyang Feng, et al.2023 · 2,284 citations
  2. Evaluation of OpenAI o1: Opportunities and Challenges of AGIarXiv:2409.18486Tianyang Zhong, Zhengliang Liu, Yi Pan, et al.2024 · 64 citations
  3. Role-Play Paradox in Large Language Models: Reasoning Performance Gains and Ethical DilemmasarXiv:2409.13979Jinman Zhao, Zifan Qian, Linbo Cao, et al.2024 · 9 citations
  4. Audio Jailbreak: An Open Comprehensive Benchmark for Jailbreaking Large Audio-Language ModelsAnnual Meeting of the Association for Computational Linguistics (ACL)Zirui Song, Qian Jiang, Mingxuan Cui, et al.2026 · 3 citations
  5. MMCLIP: Cross-Modal Attention Masked Modelling for Medical Language-Image Pre-TrainingAnnual Meeting of the Association for Computational Linguistics (ACL)Biao Wu, Yutong Xie, Zeyu Zhang, et al.2026 · 3 citations
  6. CoV: Chain-of-View Prompting for Spatial ReasoningFindings of the Association for Computational LinguisticsHaoyu Zhao, Akide Liu, Zeyu Zhang, et al.2026 · 2 citations
  7. From Coarse to Fine: Self-Adaptive Hierarchical Planning for LLM AgentsFindings of the Association for Computational LinguisticsHaoran Tan, Zeyu Zhang, Chen Ma, et al.2026
  8. CypherSmith: Transforming Text-to-Cypher Generation for LLMs with Synthetic Data ↗Proceedings of the 64th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers) · no summary yetZeyu Zhang et al.2026

 Co-authors here

12 of 28 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 518 times (of the 149,439 papers whose bibliographies we read); 118 citing papers with a page here →.

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