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Zhangyue Yin

Zhangyue Yin has 6 papers in our library, in 2023–2026, most of them on Language models & pretraining, Reasoning, Evaluation & benchmarks; often with Xipeng Qiu, Qiushi Sun, Zhiyuan Yu.

6 papers in our library · 2023–2026

OpenAlex · ORCID · h-index 12 · 50 works · 1,229 citations OpenAlex, 2026-10-14

📄 6 works in our library · 🔗 Cited 818 times in our library · 3 more in our library without a page yet · ⭐ Paper Stars ranking: #7105

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

🎓Fudan UniversityShanghai · China2022–2026 · 43 paperscurrent🎓University of Hong KongPok Fu Lam · China2025–2026 · 4 paperscurrent🎓Nanjing UniversityNanjing · China2026 · 1 papercurrent🏢TencentShenzhen · China2026 · 1 papercurrent🔬Shanghai Key Laboratory of Trustworthy ComputingShanghai · China2025 · 2 papers🔬Shanghai Artificial Intelligence LaboratoryShanghai · China2023–2024 · 2 papers🎓National University of SingaporeSingapore · Singapore2023 · 2 papers

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 6The field of science this work belongs to (OpenAlex fields).Arts and Humanities · 6 worksComputer Science · 6 worksArtificial Intelligence · 6 worksLanguage and Linguistics · 6 worksComputer Vision and Pattern Recognition · 4 worksSoftware · 1 work

🧭 Topics 4Research subjects and languages the work is about.Language models & pretraining · 3 worksEvaluation & benchmarks · 1 workBias, fairness & safety · 1 workReasoning · 2 works

 Works by year

2020s

20264 papers20251 paper20231 paper

 Papers

The most cited first (OpenAlex and our library).

  1. Evaluating the Performance of Large Language Models on GAOKAO Benchmark (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? (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 (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 (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 (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 (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? ↗Findings of the Association for Computational Linguistics: ACL 2023 · no summary yetZhangyue Yin et al.2023 · 222 citations
  2. Evaluating the Performance of Large Language Models on GAOKAO BenchmarkarXiv:2305.12474Xiaotian Zhang, Chunyang Li, Yi Zong, et al.2023 · 109 citations
  3. Corex: Pushing the Boundaries of Complex Reasoning through Multi-Model Collaboration ↗arXiv:2310.00280 · no summary yetQiushi Sun et al.2023 · 41 citations
  4. Revisiting the Test-Time Scaling of o1-like Models: Do they Truly Possess Test-Time Scaling Capabilities?Annual Meeting of the Association for Computational Linguistics (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 ↗arXiv:2412.14135 · no summary yetZhiyuan Zeng et al.2024 · 33 citations
  6. OS-Sentinel: Towards Safety-Enhanced Mobile GUI Agents via Hybrid Validation in Realistic WorkflowsAnnual Meeting of the Association for Computational Linguistics (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 ModelsFindings of the Association for Computational LinguisticsZhangyue Yin, Qiushi Sun, Zhiyuan Zeng, et al.2026 · 1 citation
  8. Efficient KL Divergence Estimation via Truncated Top-K Integration for Large Language ModelsAnnual Meeting of the Association for Computational Linguistics (ACL)Xinyuan Wang, Luozhijie Jin, Bo Wang, et al.2026
  9. Thermometer of Thoughts: Enhancing LLM's Exploration via Attention Temperature ModulationAnnual Meeting of the Association for Computational Linguistics (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.

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 818 times (of the 149,439 papers whose bibliographies we read); 244 citing papers with a page here →.

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