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Boyan Xu

Boyan Xu has 2 papers in our library, in 2026, most of them on Reasoning, Language models & pretraining, Evaluation & benchmarks; often with Bo Xu, Fangyuan Wang, Feng Yao.

2 papers in our library · 2026

OpenAlex · ORCID · h-index 21 · 123 works · 1,474 citations OpenAlex, 2026-10-14

📄 2 works in our library · ⭐ Paper Stars ranking: #12867

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

🎓Guangdong University of TechnologyGuangzhou · China2017–2026 · 46 paperscurrent🏛️Chinese Academy of SciencesBeijing · China2026 · 3 paperscurrent🔬Institute of AutomationBeijing · China2026 · 3 paperscurrent🎓University of ManchesterManchester · United Kingdom2020–2022 · 6 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.

 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 · 2 worksComputer Science · 2 worksArtificial Intelligence · 2 worksComputer Vision and Pattern Recognition · 2 worksLanguage and Linguistics · 2 works

🧭 Topics 6Research subjects and languages the work is about.Reasoning · 2 worksEvaluation & benchmarks · 1 workLanguage models & pretraining · 1 workVision & language · 1 workCode & programming languages · 1 workSemantic parsing & meaning representation · 1 work

 Works by year

2020s

20262 papers

 Papers

The most cited first (OpenAlex and our library).

  1. MMErroR: A Benchmark for Erroneous Reasoning in Vision-Language Models (2026 · 1 citation)
    Most vision-language benchmarks score only whether the final answer is correct. They cannot show whether a model actually understands why a line of reasoning breaks down. MMErroR addresses this by testing whether VLMs can spot a flawed multimodal reasoning chain and name the kind of mistake it contains.
  2. Rose-SQL: Role-State Evolution Guided Structured Reasoning for Multi-Turn Text-to-SQL (2026)
    Rose-SQL addresses multi-turn (conversational) Text-to-SQL, where a model must turn the current question plus dialogue history into SQL.

 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.

Updated

This page in Markdown → https://md.research.elamur.ai/free/en/authors/boyan-xu/