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Zhiyuan Zeng

Zhiyuan Zeng has 4 papers in our library, in 2024–2026, most of them on Reasoning; often with Xipeng Qiu, Qipeng Guo, Zhangyue Yin.

4 papers in our library · 2024–2026

OpenAlex · ORCID · h-index 9 · 45 works · 259 citations OpenAlex, 2026-10-14

📄 4 works in our library · 🔗 Cited 678 times in our library · 6 more in our library without a page yet · ⭐ Paper Stars ranking: #7823

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

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.

 Works by year

2020s

 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? (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 (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 (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 (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 ↗arXiv:2310.06694 · no summary yetMengzhou Xia et al.2023 · 201 citations
  2. Evaluating Large Language Models at Evaluating Instruction Following ↗arXiv:2310.07641 · no summary yetZhiyuan Zeng et al.2023 · 163 citations
  3. Reinforcement Learning for Reasoning in Large Language Models with One Training Example ↗arXiv:2504.20571 · no summary yetYiping Wang et al.2025 · 87 citations
  4. Modeling Discriminative Representations for Out-of-Domain Detection with Supervised Contrastive Learning ↗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 yetZhiyuan Zeng et al.2021 · 85 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. Unearthing Large Scale Domain-Specific Knowledge from Public CorporaarXiv:2401.14624Zhaoye Fei, Yunfan Shao, Linyang Li, et al.2024 · 10 citations
  7. Precise Information Control in Long-Form Text Generation ↗neural information processing systems · no summary yetJacqueline He et al.2025 · 3 citations

 Co-authors here

12 of 17 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 678 times (of the 149,439 papers whose bibliographies we read); 148 citing papers with a page here →.

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