---
title: "Zhangyue Yin — author profile and papers — Elamur Research"
description: "Zhangyue Yin, Tencent: 6 papers on Elamur Research (2023–2026), h-index 12 — affiliations, topics, co-authors and who cites them in our library."
canonical: "https://research.elamur.ai/free/en/authors/zhangyue-yin/"
---
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# Zhangyue Yin

Zhangyue Yin has 6 papers in our library, in 2023–2026, most of them on [Language models & pretraining](https://md.research.elamur.ai/free/en/topics/language-models/), [Reasoning](https://md.research.elamur.ai/free/en/topics/reasoning/), [Evaluation & benchmarks](https://md.research.elamur.ai/free/en/topics/evaluation-benchmarks/); often with [Xipeng Qiu](https://md.research.elamur.ai/free/en/authors/xipeng-qiu/), [Qiushi Sun](https://md.research.elamur.ai/free/en/authors/qiushi-sun/), [Zhiyuan Yu](https://md.research.elamur.ai/free/en/authors/zhiyuan-yu/).

6 papers in our library · 2023–2026

[OpenAlex](https://openalex.org/A5083955516) · [ORCID](https://orcid.org/0009-0008-0620-8271) · [**h-index 12**](https://openalex.org/authors/A5083955516) · [50 works](https://openalex.org/works?filter=author.id:A5083955516) · [1,229 citations](https://openalex.org/works?filter=author.id:A5083955516&sort=cited_by_count:desc) OpenAlex, 2026-10-14

[📄 6 works in our library](https://md.research.elamur.ai/free/en/authors/zhangyue-yin/#papers) · [🔗 Cited 818 times in our library](https://md.research.elamur.ai/free/en/authors/zhangyue-yin/cited-by/) · [3 more in our library without a page yet](#also) · [⭐ Paper Stars ranking: #7105](https://md.research.elamur.ai/free/en/paper-stars/page/72/#star-7105)

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

## Affiliations

[🎓**Fudan University** Shanghai · China 2022–2026 · 43 papers*current*](https://md.research.elamur.ai/free/en/universities/fudan-university/) · [🎓**University of Hong Kong** Pok Fu Lam · China 2025–2026 · 4 papers*current*](https://md.research.elamur.ai/free/en/universities/university-of-hong-kong/) · [🎓**Nanjing University** Nanjing · China 2026 · 1 paper*current*](https://md.research.elamur.ai/free/en/universities/nanjing-university/) · [🏢**Tencent** Shenzhen · China 2026 · 1 paper*current*](https://md.research.elamur.ai/free/en/companies/tencent/) · [🔬**Shanghai Key Laboratory of Trustworthy Computing** Shanghai · China 2025 · 2 papers](https://ror.org/030qbr085) · [🔬**Shanghai Artificial Intelligence Laboratory** Shanghai · China 2023–2024 · 2 papers](https://md.research.elamur.ai/free/en/labs/shanghai-artificial-intelligence-laboratory/) · [🎓**National University of Singapore** Singapore · Singapore 2023 · 2 papers](https://md.research.elamur.ai/free/en/universities/national-university-of-singapore/)

From the bylines of their papers (OpenAlex, 2026-10-14), ORCID and Wikidata; institutions on papers are matched by machine. 2 more institutions on single bylines are not listed.

## 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 · 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/) · [Computer Vision and Pattern Recognition · 4 works](https://md.research.elamur.ai/free/en/shelves/computer-science/computer-vision-and-pattern-recognition/) · [Software · 1 work](https://md.research.elamur.ai/free/en/shelves/computer-science/software/)

🧭 Topics 4 Research subjects and languages the work is about.[Language models & pretraining · 3 works](https://md.research.elamur.ai/free/en/topics/language-models/) · [Evaluation & benchmarks · 1 work](https://md.research.elamur.ai/free/en/topics/evaluation-benchmarks/) · [Bias, fairness & safety · 1 work](https://md.research.elamur.ai/free/en/topics/bias-fairness-safety/) · [Reasoning · 2 works](https://md.research.elamur.ai/free/en/topics/reasoning/)

## Works by year

### 2020s

[**2026** 4 papers](https://md.research.elamur.ai/free/en/authors/zhangyue-yin/year/2026/) · [**2025** 1 paper](https://md.research.elamur.ai/free/en/authors/zhangyue-yin/year/2025/) · [**2023** 1 paper](https://md.research.elamur.ai/free/en/authors/zhangyue-yin/year/2023/)

## Papers

The most cited first (OpenAlex and our library).

1. **[Evaluating the Performance of Large Language Models on GAOKAO Benchmark](https://md.research.elamur.ai/free/en/papers/zhang-2023-evaluating-performance-large-language/)** *(2023 · 109 citations)* Popular LLM benchmarks such as MMLU, C-Eval and AGIEval consist almost entirely of objective items. They reveal little about generative ability and give no intuitive, human-comparable sense of model skill. The authors address this gap with GAOKAO-Bench, a dataset of national Chinese college entrance exam (GAOKAO)…
2. **[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).
3. **[OS-Sentinel: Towards Safety-Enhanced Mobile GUI Agents via Hybrid Validation in Realistic Workflows](https://md.research.elamur.ai/free/en/papers/sun-2026-os-sentinel-safety-enhanced-mobile/)** *(2026 · 2 citations)* Mobile GUI agents built on Vision-Language Models can carry out tasks on phones, but they may also behave unsafely, for example by leaking private data, posting offensive content or tampering with the system.
4. **[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.
5. **[Efficient KL Divergence Estimation via Truncated Top-K Integration for Large Language Models](https://md.research.elamur.ai/free/en/papers/wang-2026-efficient-kl-divergence-estimation-truncated/)** *(2026)* RL fine-tuning of LLMs (e.g., GRPO) usually includes a KL penalty that keeps the policy close to a reference model.
6. **[Thermometer of Thoughts: Enhancing LLM's Exploration via Attention Temperature Modulation](https://md.research.elamur.ai/free/en/papers/yu-2026-thermometer-thoughts-enhancing-llm-s/)** *(2026)* The paper tackles weak exploration in LLM reasoning. Standard stochastic decoding only samples from the model's next-token distribution, so the model keeps reasoning along the same habitual lines. The authors instead change the attention temperature, the factor that sets how sharply attention weights concentrate on…

## All works

9 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. **[Do Large Language Models Know What They Don't Know? ↗](https://aclanthology.org/2023.findings-acl.551/) Findings of the Association for Computational Linguistics: ACL 2023 · no summary yet**Zhangyue Yin et al.*2023 · 222 citations*
2. [**Evaluating the Performance of Large Language Models on GAOKAO Benchmark arXiv:2305.12474**Xiaotian Zhang, Chunyang Li, Yi Zong, et al.*2023 · 109 citations*](https://md.research.elamur.ai/free/en/papers/zhang-2023-evaluating-performance-large-language/)
3. **[Corex: Pushing the Boundaries of Complex Reasoning through Multi-Model Collaboration ↗](https://arxiv.org/abs/2310.00280) arXiv:2310.00280 · no summary yet**Qiushi Sun et al.*2023 · 41 citations*
4. **[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*
5. **[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*
6. **[OS-Sentinel: Towards Safety-Enhanced Mobile GUI Agents via Hybrid Validation in Realistic Workflows](https://md.research.elamur.ai/free/en/papers/sun-2026-os-sentinel-safety-enhanced-mobile/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Qiushi Sun, Mukai Li, Zhoumianze Liu, et al.*2026 · 2 citations*
7. **[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*
8. **[Efficient KL Divergence Estimation via Truncated Top-K Integration for Large Language Models](https://md.research.elamur.ai/free/en/papers/wang-2026-efficient-kl-divergence-estimation-truncated/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Xinyuan Wang, Luozhijie Jin, Bo Wang, et al.*2026*
9. **[Thermometer of Thoughts: Enhancing LLM's Exploration via Attention Temperature Modulation](https://md.research.elamur.ai/free/en/papers/yu-2026-thermometer-thoughts-enhancing-llm-s/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Zhiyuan Yu, Shijian Xiao, Cam-Tu Nguyen, et al.*2026*

## Co-authors here

12 of 30 co-authors with a page, the most papers together first.

- [Xipeng Qiu](https://md.research.elamur.ai/free/en/authors/xipeng-qiu/) ×4
- [Qiushi Sun](https://md.research.elamur.ai/free/en/authors/qiushi-sun/) ×2
- [Zhiyuan Yu](https://md.research.elamur.ai/free/en/authors/zhiyuan-yu/) ×2
- [Zhiyuan Zeng](https://md.research.elamur.ai/free/en/authors/zhiyuan-zeng/) ×2
- [Bo Wang](https://md.research.elamur.ai/free/en/authors/bo-wang/)
- [Cam-Tu Nguyen](https://md.research.elamur.ai/free/en/authors/cam-tu-nguyen/)
- [Chunyang Li](https://md.research.elamur.ai/free/en/authors/chunyang-li/)
- [Fangzhi Xu](https://md.research.elamur.ai/free/en/authors/fangzhi-xu/)
- [Jun Zhan](https://md.research.elamur.ai/free/en/authors/jun-zhan/)
- [Kanzhi Cheng](https://md.research.elamur.ai/free/en/authors/kanzhi-cheng/)
- [Liang He](https://md.research.elamur.ai/free/en/authors/liang-he/)
- [Luozhijie Jin](https://md.research.elamur.ai/free/en/authors/luozhijie-jin/)

## 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/) ×4: [ACL 2026](https://md.research.elamur.ai/free/en/venues/acl/2026/) ×3, [ACL 2025](https://md.research.elamur.ai/free/en/venues/acl/2025/)
- [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/)
- [Science China Information Sciences](https://md.research.elamur.ai/free/en/venues/science-china-information-sciences/)
- Findings of the Association for Computational Linguistics: ACL 2023

## Cited by

Papers of our library cite their works 818 times (of the 149,439 papers whose bibliographies we read); [244 citing papers with a page here →](https://md.research.elamur.ai/free/en/authors/zhangyue-yin/cited-by/).

Updated 2 November 2026