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Jiahao Wang

Jiahao Wang has 3 papers in our library, in 2025–2026, most of them on Language models & pretraining, Efficient models & compression, Reasoning; often with Ngai Wong, Runming Yang, Taiqiang Wu.

3 papers in our library · 2025–2026

OpenAlex · ORCID · h-index 25 · 201 works · 4,006 citations OpenAlex, 2026-10-14

📄 3 works in our library · 🔗 Cited 97 times in our library · ⭐ Paper Stars ranking: #6371

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

🎓Xi'an Jiaotong UniversityXi'an · China2021–2026 · 13 paperscurrent🎓Ankang UniversityAnkang · China2024–2026 · 6 paperscurrent🎓Guilin University of Electronic TechnologyGuilin · China2020–2026 · 6 paperscurrent🏛️Chinese Academy of SciencesBeijing · China2021–2026 · 5 paperscurrent🎓Chongqing UniversityChongqing · China2025–2026 · 4 paperscurrent🎓Nanjing University of Chinese MedicineNanjing · China2026 · 4 paperscurrent🎓Anhui Medical UniversityHefei · China2024–2026 · 3 paperscurrent🎓Chengdu University of Traditional Chinese MedicineChengdu · China2024–2026 · 3 paperscurrent🎓Chengdu Sport UniversityChengdu · China2023–2026 · 2 paperscurrent🎓Kyushu UniversityFukuoka · Japan2025–2026 · 2 paperscurrent

From the bylines of their papers (OpenAlex, 2026-10-14), ORCID and Wikidata; institutions on papers are matched by machine. 98 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 · 3 worksComputer Science · 3 worksArtificial Intelligence · 3 worksComputer Vision and Pattern Recognition · 3 worksLanguage and Linguistics · 3 works

🧭 Topics 3Research subjects and languages the work is about.Efficient models & compression · 2 worksLanguage models & pretraining · 2 worksReasoning · 1 work

 Works by year

2020s

20261 paper20252 papers

 Papers

The most cited first (OpenAlex and our library).

  1. EfficientQAT: Efficient Quantization-Aware Training for Large Language Models (2025 · 82 citations)
    Quantization-aware training (QAT) can compress large language models to very low bit-widths with little accuracy loss.
  2. Rethinking Kullback-Leibler Divergence in Knowledge Distillation for Large Language Models (2025 · 47 citations)
    Distilling large language models usually means training a student to match the teacher's next-token distribution with a Kullback-Leibler loss.
  3. Revisiting Model Interpolation for Efficient Reasoning (2026 · 6 citations)
    The paper looks at efficient reasoning: how to keep the accuracy of long chain-of-thought models while producing fewer tokens.

 Co-authors here

12 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 97 times (of the 149,439 papers whose bibliographies we read); 17 citing papers with a page here →.

Updated

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