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Xiaoye Qu

Xiaoye Qu has 2 papers in our library, in 2023–2024, most of them on Named entity recognition, Language models & pretraining, Semitic languages; often with Baoxing Huai, Conghui He, Yu Cheng.

2 papers in our library · 2023–2024

OpenAlex · ORCID · Wikidata · h-index 25 · 117 works · 1,643 citations OpenAlex, 2026-10-14

📄 2 works in our library · 🔗 Cited 183 times in our library · 3 more in our library without a page yet · ⭐ Paper Stars ranking: #4866

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

🎓Huazhong University of Science and TechnologyWuhan · China2018–2026 · 53 paperscurrent🔬Shanghai Artificial Intelligence LaboratoryShanghai · China2024–2026 · 29 paperscurrent🏢ByteDanceBeijing · China2026 · 1 papercurrent🏥Huazhong University of Science and Technology HospitalWuhan · China2026 · 1 papercurrent🎓Renmin University of ChinaBeijing · China2026 · 1 papercurrent🏢Huawei TechnologiesShenzhen · China2020–2023 · 16 papers

From the bylines of their papers (OpenAlex, 2026-10-14), ORCID and Wikidata; institutions on papers are matched by machine. 1 more institution on single bylines are not listed.

 Concepts, shelves and topics

Of its works in our library: the number of works on each and its rating among them.

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

🧭 Topics 3Research subjects and languages the work is about.Language models & pretraining · 1 workNamed entity recognition · 1 workSemitic languages · 1 work

 Works by year

2020s

20241 paperLLaMA-MoE: Building Mixture-of-Experts from LLaMA with Continual Pre-Training20231 paperA Survey on Arabic Named Entity Recognition: Past, Recent Advances, and Future Trends

 Papers

The most cited first (OpenAlex and our library).

  1. LLaMA-MoE: Building Mixture-of-Experts from LLaMA with Continual Pre-Training (2024 · 85 citations)
    Training sparse Mixture-of-Experts (MoE) language models from scratch needs a lot of data and can be unstable.
  2. A Survey on Arabic Named Entity Recognition: Past, Recent Advances, and Future Trends (2023 · 64 citations)
    This survey reviews how named entity recognition for Arabic has developed and why it is harder than English NER.

All works

5 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. LLaMA-MoE: Building Mixture-of-Experts from LLaMA with Continual Pre-TrainingConference on Empirical Methods in Natural Language Processing (EMNLP)Tong Zhu, Xiaoye Qu, Daize Dong, et al.2024 · 85 citations
  2. A Survey on Arabic Named Entity Recognition: Past, Recent Advances, and Future TrendsIEEE Transactions on Knowledge and Data EngineeringXiaoye Qu, Yingjie Gu, Qingrong Xia, et al.2023 · 64 citations
  3. PRMBench: A Fine-grained and Challenging Benchmark for Process-Level Reward ModelsProceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers) · original ↗ · no summary yetMingyang Song et al.2025 · 63 citations
  4. A Survey of Efficient Reasoning for Large Reasoning Models: Language, Multimodality, and BeyondarXiv:2503.21614 · original ↗ · no summary yetXiaoye Qu et al.2025 · 54 citations
  5. Scaling Reasoning, Losing Control: Evaluating Instruction Following in Large Reasoning ModelsProceedings of the 64th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers) · original ↗ · no summary yetTingchen Fu et al.2026 · 11 citations

 Co-authors here

4 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 183 times (of the 141,840 papers whose bibliographies we read); 5 citing papers with a page here →.

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