---
title: "Zhiyuan Zeng · Alibaba Group — author profile and papers"
description: "Zhiyuan Zeng, Alibaba Group: 4 papers on Elamur Research (2024–2026), h-index 9 — affiliations, topics, co-authors and who cites them in…"
canonical: "https://research.elamur.ai/free/en/authors/zhiyuan-zeng/"
---
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# Zhiyuan Zeng

Zhiyuan Zeng has 4 papers in our library, in 2024–2026, most of them on [Reasoning](https://md.research.elamur.ai/free/en/topics/reasoning/); often with [Xipeng Qiu](https://md.research.elamur.ai/free/en/authors/xipeng-qiu/), [Qipeng Guo](https://md.research.elamur.ai/free/en/authors/qipeng-guo/), [Zhangyue Yin](https://md.research.elamur.ai/free/en/authors/zhangyue-yin/).

4 papers in our library · 2024–2026

[OpenAlex](https://openalex.org/A5075168326) · [ORCID](https://orcid.org/0009-0000-2416-8340) · [**h-index 9**](https://openalex.org/authors/A5075168326) · [45 works](https://openalex.org/works?filter=author.id:A5075168326) · [259 citations](https://openalex.org/works?filter=author.id:A5075168326&sort=cited_by_count:desc) OpenAlex, 2026-10-14

[📄 4 works in our library](https://md.research.elamur.ai/free/en/authors/zhiyuan-zeng/#papers) · [🔗 Cited 678 times in our library](https://md.research.elamur.ai/free/en/authors/zhiyuan-zeng/cited-by/) · [6 more in our library without a page yet](#also) · [⭐ Paper Stars ranking: #7823](https://md.research.elamur.ai/free/en/paper-stars/page/79/#star-7823)

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

## Affiliations

[🏢**Alibaba Group** Hangzhou · China 2022–2026 · 6 papersEmployment*current*](https://md.research.elamur.ai/free/en/companies/alibaba-group/) · [🎓**Beijing University of Posts and Telecommunications** Beijing · China 2021–2022 · 12 papers](https://md.research.elamur.ai/free/en/universities/beijing-university-of-posts-and-telecommunications/) · [🎓**Tsinghua University** Beijing · China 2022–2023 · 6 papers](https://md.research.elamur.ai/free/en/universities/tsinghua-university/) · [🎓**Fudan University** Shanghai · China 2024–2025 · 5 papers](https://md.research.elamur.ai/free/en/universities/fudan-university/) · [🎓**University of Washington** Seattle · United States 2025 · 5 papers](https://md.research.elamur.ai/free/en/universities/university-of-washington/) · [🔬**Allen Institute for Artificial Intelligence** Seattle · United States 2025 · 2 papers](https://md.research.elamur.ai/free/en/labs/allen-institute-for-artificial-intelligence/) · [🎓**University of Hong Kong** Pok Fu Lam · China 2024–2025 · 2 papers](https://md.research.elamur.ai/free/en/universities/university-of-hong-kong/) · [🔬**Shanghai Artificial Intelligence Laboratory** Shanghai · China 2024 · 2 papers](https://md.research.elamur.ai/free/en/labs/shanghai-artificial-intelligence-laboratory/) · [🎓**Tianjin University** Tianjin · China 2021–2022 · 2 papers](https://md.research.elamur.ai/free/en/universities/tianjin-university/)

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 6 The field of science this work belongs to (OpenAlex fields).[Arts and Humanities · 4 works](https://md.research.elamur.ai/free/en/shelves/arts-and-humanities/) · [Computer Science · 4 works](https://md.research.elamur.ai/free/en/shelves/computer-science/) · [Artificial Intelligence · 4 works](https://md.research.elamur.ai/free/en/shelves/computer-science/artificial-intelligence/) · [Language and Linguistics · 4 works](https://md.research.elamur.ai/free/en/shelves/arts-and-humanities/language-and-linguistics/) · [Computer Vision and Pattern Recognition · 2 works](https://md.research.elamur.ai/free/en/shelves/computer-science/computer-vision-and-pattern-recognition/) · [Information Systems · 2 works](https://md.research.elamur.ai/free/en/shelves/computer-science/information-systems/)

🧭 Topics 1 Research subjects and languages the work is about.[Reasoning · 2 works](https://md.research.elamur.ai/free/en/topics/reasoning/)

## Works by year

### 2020s

[**2026** 2 papers](https://md.research.elamur.ai/free/en/authors/zhiyuan-zeng/year/2026/) · [**2025** 1 paper](https://md.research.elamur.ai/free/en/authors/zhiyuan-zeng/year/2025/) · [**2024** 1 paper](https://md.research.elamur.ai/free/en/authors/zhiyuan-zeng/year/2024/)

## Papers

The most cited first (OpenAlex and our library).

1. **[Revisiting the Test-Time Scaling of o1-like Models: Do they Truly Possess Test-Time Scaling Capabilities?](https://md.research.elamur.ai/free/en/papers/zeng-2025-revisiting-test-time-scaling-o1/)** *(2025 · 38 citations)* Open o1-style reasoning models such as QwQ, Deepseek-R1 (R1) and LIMO generate very long chains of thought (CoT).
2. **[Unearthing Large Scale Domain-Specific Knowledge from Public Corpora](https://md.research.elamur.ai/free/en/papers/fei-2024-unearthing-large-scale-domain-specific/)** *(2024 · 10 citations)* Building domain-specific corpora for LLMs usually requires experts to pick sources and engineers to scrape them.
3. **[ARISE: An Adaptive Resolution-Aware Metric for Test-Time Scaling Evaluation in Large Reasoning Models](https://md.research.elamur.ai/free/en/papers/yin-2026-arise-adaptive-resolution-aware-metric/)** *(2026 · 1 citation)* Reasoning models can spend more inference compute ("test-time scaling"), but there has been no dependable way to compare how well different models turn extra tokens into better answers.
4. **[LoRE: Enhancing Search Relevance with Progressive Chain-of-Thought and Preference Alignment](https://md.research.elamur.ai/free/en/papers/lu-2026-lore-enhancing-search-relevance-progressive/)** *(2026)* The paper tackles e-commerce search relevance: deciding whether a retrieved item truly fits a user's query.

## All works

10 works of theirs in our library, the most cited first; 4 with a page here, the others link their original until we summarise them.

1. **[Sheared LLaMA: Accelerating Language Model Pre-training via Structured Pruning ↗](https://arxiv.org/abs/2310.06694) arXiv:2310.06694 · no summary yet**Mengzhou Xia et al.*2023 · 201 citations*
2. **[Evaluating Large Language Models at Evaluating Instruction Following ↗](https://arxiv.org/abs/2310.07641) arXiv:2310.07641 · no summary yet**Zhiyuan Zeng et al.*2023 · 163 citations*
3. **[Reinforcement Learning for Reasoning in Large Language Models with One Training Example ↗](https://arxiv.org/abs/2504.20571) arXiv:2504.20571 · no summary yet**Yiping Wang et al.*2025 · 87 citations*
4. **[Modeling Discriminative Representations for Out-of-Domain Detection with Supervised Contrastive Learning ↗](https://aclanthology.org/2021.acl-short.110/) Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing (Volume 2: Short Papers) · no summary yet**Zhiyuan Zeng et al.*2021 · 85 citations*
5. **[Revisiting the Test-Time Scaling of o1-like Models: Do they Truly Possess Test-Time Scaling Capabilities?](https://md.research.elamur.ai/free/en/papers/zeng-2025-revisiting-test-time-scaling-o1/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Zhiyuan Zeng, Qinyuan Cheng, Zhangyue Yin, et al.*2025 · 38 citations*
6. **[Scaling of Search and Learning: A Roadmap to Reproduce o1 from Reinforcement Learning Perspective ↗](https://arxiv.org/abs/2412.14135) arXiv:2412.14135 · no summary yet**Zhiyuan Zeng et al.*2024 · 33 citations*
7. [**Unearthing Large Scale Domain-Specific Knowledge from Public Corpora arXiv:2401.14624**Zhaoye Fei, Yunfan Shao, Linyang Li, et al.*2024 · 10 citations*](https://md.research.elamur.ai/free/en/papers/fei-2024-unearthing-large-scale-domain-specific/)
8. **[Precise Information Control in Long-Form Text Generation ↗](https://doi.org/10.52202/085713-3103) neural information processing systems · no summary yet**Jacqueline He et al.*2025 · 3 citations*
9. **[ARISE: An Adaptive Resolution-Aware Metric for Test-Time Scaling Evaluation in Large Reasoning Models](https://md.research.elamur.ai/free/en/papers/yin-2026-arise-adaptive-resolution-aware-metric/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Zhangyue Yin, Qiushi Sun, Zhiyuan Zeng, et al.*2026 · 1 citation*
10. **[LoRE: Enhancing Search Relevance with Progressive Chain-of-Thought and Preference Alignment](https://md.research.elamur.ai/free/en/papers/lu-2026-lore-enhancing-search-relevance-progressive/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Chenji Lu, Zhuo Chen, Hui Zhao, et al.*2026*

## Co-authors here

12 of 17 co-authors with a page, the most papers together first.

- [Xipeng Qiu](https://md.research.elamur.ai/free/en/authors/xipeng-qiu/) ×3
- [Qipeng Guo](https://md.research.elamur.ai/free/en/authors/qipeng-guo/) ×2
- [Zhangyue Yin](https://md.research.elamur.ai/free/en/authors/zhangyue-yin/) ×2
- [Bo Zheng](https://md.research.elamur.ai/free/en/authors/bo-zheng/)
- [Conghui He](https://md.research.elamur.ai/free/en/authors/conghui-he/)
- [Dahua Lin](https://md.research.elamur.ai/free/en/authors/dahua-lin/)
- [Hang Yan](https://md.research.elamur.ai/free/en/authors/hang-yan/)
- [Jian Xu](https://md.research.elamur.ai/free/en/authors/jian-xu/)
- [Linyang Li](https://md.research.elamur.ai/free/en/authors/linyang-li/)
- [Qinyuan Cheng](https://md.research.elamur.ai/free/en/authors/qinyuan-cheng/)
- [Qiushi Sun](https://md.research.elamur.ai/free/en/authors/qiushi-sun/)
- [Xuanjing Huang](https://md.research.elamur.ai/free/en/authors/xuanjing-huang/)

## Venues

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

- [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/) ×2: [Findings of the Association for Computational Linguistics 2026](https://md.research.elamur.ai/free/en/venues/findings/2026/) ×2
- [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/): [ACL 2025](https://md.research.elamur.ai/free/en/venues/acl/2025/)
- Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing (Volume 2: Short Papers)
- neural information processing systems

## Cited by

Papers of our library cite their works 678 times (of the 149,439 papers whose bibliographies we read); [148 citing papers with a page here →](https://md.research.elamur.ai/free/en/authors/zhiyuan-zeng/cited-by/).

Updated 1 November 2026