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Yuhang Wang

Yuhang Wang has 3 papers in our library, in 2023–2026, most of them on Language models & pretraining, Question answering, Evaluation & benchmarks; often with Beijun Shen, Guohai Xu, Haiyang Xu.

3 papers in our library · 2023–2026

OpenAlex · ORCID · h-index 10 · 39 works · 307 citations OpenAlex, 2026-10-14

📄 3 works in our library · 🔗 Cited 84 times in our library · ⭐ Paper Stars ranking: #8067

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

🎓Shanghai Jiao Tong UniversityShanghai · China2026 · 1 papercurrent🎓Taiyuan University of TechnologyTaiyuan · China2020–2023 · 5 papers🏛️Chinese Academy of SciencesBeijing · China2022–2025 · 3 papers🎓City University of Hong KongHong Kong · China2024–2025 · 3 papers🔬Institute of Information EngineeringBeijing · China2022–2025 · 3 papers🎓Xiamen UniversityXiamen · China2024–2025 · 2 papers🎓Beijing Jiaotong UniversityBeijing · China2024 · 2 papers🎓University of Chinese Academy of SciencesBeijing · China2022–2024 · 2 papers

From the bylines of their papers (OpenAlex, 2026-10-14), ORCID and Wikidata; institutions on papers are matched by machine. 15 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 · 3 worksComputer Science · 3 worksArtificial Intelligence · 3 worksLanguage and Linguistics · 3 worksComputer Vision and Pattern Recognition · 1 workInformation Systems · 2 works

🧭 Topics 3Research subjects and languages the work is about.Language models & pretraining · 3 worksEvaluation & benchmarks · 1 workQuestion answering · 1 work

 Works by year

2020s

20261 paper20251 paper20231 paper

 Papers

The most cited first (OpenAlex and our library).

  1. AMBER: An LLM-free Multi-dimensional Benchmark for MLLMs Hallucination Evaluation (2023 · 67 citations)
    Multi-modal Large Language Models (MLLMs) often produce answers that sound plausible but do not match the image.
  2. StepSearch: Igniting LLMs Search Ability via Step-Wise Proximal Policy Optimization (2025 · 19 citations)
    RL-trained search agents such as Search-R1, ReSearch and ZeroSearch usually learn only from a final-answer reward.
  3. SWE-QA: Can Language Models Answer Repository-level Code Questions? (2026 · 7 citations)
    Most code question-answering benchmarks, such as CoSQA and CodeQA, test models on short, isolated snippets. Real developer questions often require moving across files, following dependencies and understanding a project's architecture. SWE-QA is a benchmark built for this repository-level setting.

 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 84 times (of the 149,439 papers whose bibliographies we read); 27 citing papers with a page here →.

Updated

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