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Yuhao Zhou

Yuhao Zhou has 4 papers in our library, in 2023–2026, most of them on Language models & pretraining, Reasoning, Vision & language; often with Limao Xiong, Shihan Dou, Songyang Gao.

4 papers in our library · 2023–2026

OpenAlex · ORCID · h-index 27 · 75 works · 2,518 citations OpenAlex, 2026-10-14

📄 4 works in our library · 🔗 Cited 153 times in our library · ⭐ Paper Stars ranking: #5420

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

🏢China Huadian CorporationBeijing · China2022–2026 · 5 paperscurrent🎓Civil Aviation Flight University of ChinaLuocheng · China2026 · 1 papercurrent🎓Chongqing UniversityChongqing · China2016–2020 · 14 papers🏛️Chinese Academy of SciencesBeijing · China2020–2022 · 8 papers🎓Dalian Maritime UniversityDalian · China2021–2024 · 7 papers🎓University of Science and Technology of ChinaHefei · China1999–2022 · 7 papers🎓Heilongjiang UniversityHarbin · China2017–2020 · 7 papers🎓Nankai UniversityTianjin · China2022–2024 · 6 papers🔬Changchun Institute of Applied ChemistryChangchun · China2020–2022 · 6 papers🔬State Key Laboratory of Coal Mine Disaster Dynamics and ControlChongqing2019–2020 · 4 papers

From the bylines of their papers (OpenAlex, 2026-10-14), ORCID and Wikidata; institutions on papers are matched by machine. 18 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 5The field of science this work belongs to (OpenAlex fields).Arts and Humanities · 4 worksComputer Science · 4 worksArtificial Intelligence · 4 worksLanguage and Linguistics · 4 worksComputer Vision and Pattern Recognition · 1 work

🧭 Topics 3Research subjects and languages the work is about.Language models & pretraining · 3 worksReasoning · 1 workVision & language · 1 work

 Works by year

2020s

20262 papers20241 paper20231 paper

 Papers

The most cited first (OpenAlex and our library).

  1. Secrets of RLHF in Large Language Models Part I: PPO (2023 · 135 citations)
    RLHF is the main way to make LLMs helpful, honest and harmless. Its PPO stage, though, is unstable, sensitive to hyperparameters and costly to debug, and few open implementations existed. This report from the Fudan NLP Group and ByteDance breaks the RLHF pipeline into its stages: SFT, reward model training, and PPO…
  2. LoRAMoE: Alleviating World Knowledge Forgetting in Large Language Models via MoE-Style Plugin (2024 · 93 citations)
    The paper examines a trade-off in supervised fine-tuning (SFT) of LLMs. Adding much more instruction data keeps improving downstream tasks, but it also erodes the factual knowledge the model gained in pre-training. The authors build a 5-million-sample instruction set covering seven task categories and fine-tune…
  3. Intern-S1-Pro: Scientific Multimodal Foundation Model at Trillion Scale (2026 · 3 citations)
    Intern-S1-Pro, from Shanghai AI Laboratory, is presented as the first scientific multimodal foundation model with one trillion parameters.
  4. CSRP: Chain-of-Thought Reasoning for Chinese Text Correction via Reinforcement Learning with Efficiency-Aware Rewards (2026 · 1 citation)
    The paper tackles two weaknesses of LLM-based Chinese Grammatical Error Correction (CGEC). General-purpose models know little about typical learner errors. Supervised fine-tuning with MLE also tends to rewrite sentences that need no change, which lowers precision. The authors propose CSRP, a three-stage pipeline…

 Co-authors here

12 of 23 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 153 times (of the 149,439 papers whose bibliographies we read); 30 citing papers with a page here →.

Updated

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