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Haoyang Zou

Haoyang Zou has 4 papers in our library, in 2024–2025, most of them on Reasoning; often with Xuefeng Li, Pengfei Liu, Shijie Xia.

4 papers in our library · 2024–2025

OpenAlex · ORCID · h-index 3 · 11 works · 26 citations OpenAlex, 2026-10-14

📄 4 works in our library · 🔗 Cited 322 times in our library · 2 more in our library without a page yet · ⭐ Paper Stars ranking: #6152

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

🎓University of Science and Technology of ChinaHefei · China2026 · 1 papercurrent

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 4The field of science this work belongs to (OpenAlex fields).Artificial Intelligence · 4 worksComputer Science · 4 worksArts and Humanities · 2 worksLanguage and Linguistics · 2 works

🧭 Topics 1Research subjects and languages the work is about.Reasoning · 2 works

 Works by year

2020s

20252 papers20242 papers

 Papers

The most cited first (OpenAlex and our library).

  1. O1 Replication Journey: A Strategic Progress Report — Part 1 (2024 · 86 citations)
    OpenAI's O1 model showed strong multi-step reasoning, but its training recipe, data and full outputs were never disclosed.
  2. ToRL: Scaling Tool-Integrated RL (2025 · 61 citations)
    Language models that reason only in natural language often fail at exact arithmetic, equation solving, and exhaustive enumeration.
  3. OlympicArena: Benchmarking Multi-discipline Cognitive Reasoning for Superintelligent AI (2024 · 56 citations)
    Existing exam-style benchmarks for LLMs and LMMs mostly test knowledge recall or simple concept application, and they usually grade only final answers.
  4. UI-TARS-2 Technical Report: Advancing GUI Agent with Multi-Turn Reinforcement Learning (2025 · 26 citations)
    UI-TARS-2 (ByteDance Seed) is a native GUI agent: a single end-to-end policy that perceives, reasons, remembers and acts across desktops, phones, browsers and games.

All works

6 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. O1 Replication Journey: A Strategic Progress Report — Part 1arXiv:2410.18982Yiwei Qin, Xuefeng Li, Haoyang Zou, et al.2024 · 86 citations
  2. ToRL: Scaling Tool-Integrated RLarXiv:2503.23383Xuefeng Li, Haoyang Zou, Pengfei Liu2025 · 61 citations
  3. O1 Replication Journey — Part 2: Surpassing O1-preview through Simple Distillation, Big Progress or Bitter Lesson? ↗arXiv:2411.16489 · no summary yetZhen Huang et al.2024 · 58 citations
  4. OlympicArena: Benchmarking Multi-discipline Cognitive Reasoning for Superintelligent AIConference on Neural Information Processing Systems (NeurIPS)Zhen Huang, Zengzhi Wang, Shijie Xia, et al.2024 · 56 citations
  5. LIMR: Less is More for RL Scaling ↗arXiv:2502.11886 · no summary yetXuefeng Li, Haoyang Zou, Pengfei Liu2025 · 51 citations
  6. UI-TARS-2 Technical Report: Advancing GUI Agent with Multi-Turn Reinforcement LearningarXiv:2509.02544Haoming Wang, Haoyang Zou, Huatong Song, et al.2025 · 26 citations

 Co-authors here

12 of 25 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 322 times (of the 149,439 papers whose bibliographies we read); 112 citing papers with a page here →.

Updated

This page in Markdown → https://md.research.elamur.ai/free/en/authors/haoyang-zou/