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Rui-Jie Zhu

Rui-Jie Zhu has 2 papers in our library, in 2025, most of them on Reasoning, Language models & pretraining; often with Dawei Zhu, Fan Yin, Hao Wang.

2 papers in our library · 2025

OpenAlex · ORCID · h-index 6 · 17 works · 435 citations OpenAlex, 2026-10-14

📄 2 works in our library · 🔗 Cited 301 times in our library · 1 more in our library without a page yet · ⭐ Paper Stars ranking: #8210

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 · China2023–2026 · 6 paperscurrent🎓University of California, Santa CruzSanta Cruz · United States2023–2025 · 3 papers🎓Northwestern Polytechnical UniversityXi'an · China2021–2022 · 3 papers🏛️Deep Space Exploration LaboratoryHefei · China2023–2024 · 2 papers🎓University of Electronic Science and Technology of ChinaChengdu · China2023 · 2 papers

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 5The field of science this work belongs to (OpenAlex fields).Arts and Humanities · 2 worksComputer Science · 2 worksArtificial Intelligence · 2 worksComputer Vision and Pattern Recognition · 2 worksLanguage and Linguistics · 2 works

🧭 Topics 2Research subjects and languages the work is about.Reasoning · 2 worksLanguage models & pretraining · 1 work

 Works by year

2020s

20252 papers

 Papers

The most cited first (OpenAlex and our library).

  1. Scaling Latent Reasoning via Looped Language Models (2025 · 22 citations)
    Most large language models learn to reason through explicit chain-of-thought added after pre-training. This lengthens outputs and makes little use of pre-training data. The authors propose Ouro, a family of Looped Language Models (LoopLM) in which a stack of weight-tied layers is applied several times, so hidden…
  2. A Survey on Latent Reasoning (2025 · 15 citations)
    Chain-of-thought prompting makes LLMs reason step by step in written language, but each generated token carries very little information.

All works

3 works of theirs in our library, the most cited first; 2 with a page here, the others link their original until we summarise them.

  1. RWKV: Reinventing RNNs for the Transformer Era ↗Findings of the Association for Computational Linguistics: EMNLP 2023 · no summary yetBo Peng et al.2023 · 632 citations
  2. Scaling Latent Reasoning via Looped Language ModelsarXiv:2510.25741Rui-Jie Zhu, Zixuan Wang, Kai Hua, et al.2025 · 22 citations
  3. A Survey on Latent ReasoningarXiv:2507.06203Rui-Jie Zhu, Tianhao Peng, Tianhao Cheng, et al.2025 · 15 citations

 Co-authors here

12 of 13 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 301 times (of the 149,439 papers whose bibliographies we read); 56 citing papers with a page here →.

Updated

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