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Xuhong Wang

Xuhong Wang has 2 papers in our library, in 2026; often with Min Wang, Qingyu Ren.

2 papers in our library · 2026

OpenAlex · ORCID · h-index 9 · 62 works · 284 citations OpenAlex, 2026-10-14

📄 2 works in our library · 🔗 Cited 3 times in our library · ⭐ Paper Stars ranking: #11020

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 Artificial Intelligence LaboratoryShanghai · China2023–2026 · 2 paperscurrent🎓Northwest UniversityXi'an · China2007–2025 · 18 papers🎓Hunan University of Humanities, Science and TechnologyLoudi · China2007–2011 · 4 papers🎓Hunan University of Finance and EconomicsChangsha · China2001–2006 · 3 papers🎓Chengdu Normal UniversityChengdu · China2019–2021 · 2 papers🎓Monash UniversityMelbourne · Australia2014 · 2 papers

From the bylines of their papers (OpenAlex, 2026-10-14), ORCID and Wikidata; institutions on papers are matched by machine. 7 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).Artificial Intelligence · 2 worksArts and Humanities · 2 worksComputer Science · 2 worksLanguage and Linguistics · 2 worksComputer Vision and Pattern Recognition · 1 work

 Works by year

2020s

20262 papers

 Papers

The most cited first (OpenAlex and our library).

  1. NaviMaster: Learning a Unified Policy for GUI and Embodied Navigation Tasks (2026 · 3 citations)
    GUI agents and embodied navigation agents have mostly been built separately, each with its own datasets, action spaces and training recipes.
  2. From Coarse to Fine: Benchmarking and Reward Modeling for Writing-Centric Generation Tasks (2026)
    LLMs still have trouble with writing tasks whose prompts contain many explicit constraints. Existing reward-model benchmarks such as RewardBench and JudgeBench score models only broadly. Current training approaches either depend on a costly LLM judge or on reward models that rate general qualities like fluency. The…

 Co-authors here

2 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 3 times (of the 149,439 papers whose bibliographies we read); 3 citing papers with a page here →.

Updated

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