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Yuxiang Wang

Yuxiang Wang has 4 papers in our library, in 2026, most of them on Language models & pretraining, Question answering, Evaluation & benchmarks; often with Hang Yan, Prayag Tiwari, Shengzhi LI.

4 papers in our library · 2026

OpenAlex · ORCID · h-index 10 · 34 works · 347 citations OpenAlex, 2026-10-14

📄 4 works in our library · 🔗 Cited 4 times in our library · ⭐ Paper Stars ranking: #10343

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

🎓Chinese University of Hong Kong, ShenzhenShenzhen · China2026 · 1 papercurrent🎓Zhejiang UniversityHangzhou · China2019–2020 · 7 papers🎓Hangzhou Dianzi UniversityHangzhou · China2023–2024 · 3 papers🎓Jilin UniversityChangchun · China2025 · 2 papers🎓Anhui Polytechnic UniversityWuhu · China2024 · 2 papers🎓Zhejiang University of TechnologyHangzhou · China2021–2022 · 2 papers🔬State Key Laboratory Fluid Power and Mechatronic SystemsHangzhou · China2019–2020 · 2 papers🎓Nanjing University of Information Science and TechnologyNanjing · China2018–2019 · 2 papers

From the bylines of their papers (OpenAlex, 2026-10-14), ORCID and Wikidata; institutions on papers are matched by machine. 9 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 6The field of science this work belongs to (OpenAlex fields).Arts and Humanities · 4 worksComputer Science · 4 worksArtificial Intelligence · 4 worksComputer Vision and Pattern Recognition · 4 worksLanguage and Linguistics · 4 worksInformation Systems · 1 work

🧭 Topics 4Research subjects and languages the work is about.Information retrieval & search · 1 workEvaluation & benchmarks · 1 workLanguage models & pretraining · 1 workQuestion answering · 1 work

 Works by year

2020s

20264 papers

 Papers

The most cited first (OpenAlex and our library).

  1. When TableQA Meets Noise: A Dual Denoising Framework for Complex Questions and Large-scale Tables (2026 · 4 citations)
    This paper addresses how large language models lose accuracy in table question answering (TableQA) when questions are complex and tables are large.
  2. DRAGON: Domain-specific Robust Automatic Data Generation for RAG Optimization (2026 · 1 citation)
    Because their training data mostly comes from broad, general sources like Wikipedia, dense retrievers have trouble with specialized corpora.
  3. Exploring Graph Learning Tasks with Pure LLMs: A Comprehensive Benchmark and Investigation (2026 · 1 citation)
    LLM-based graph learning studies use inconsistent datasets, preprocessing and splits, so it remains unclear how pure LLMs compare with dedicated graph models.
  4. Preference Optimization for Review Question Generation Improves Writing Quality (2026)
    LLM-drafted peer-review questions are often shallow. They tend to echo keywords or the introduction instead of engaging critically with the whole paper. To address this, the authors built a corpus of reviewer questions from ICLR 2024 reviews on OpenReview, using Gemini 2.0 for extraction and olmOCR for paper text.…

 Co-authors here

5 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 4 times (of the 149,439 papers whose bibliographies we read); 2 citing papers with a page here →.

Updated

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