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Xiaobo Xia

Xiaobo Xia has 3 papers in our library, in 2024–2026, most of them on Language models & pretraining, Vision & language, Reasoning; often with Binyuan Hui, Bo Chen, Fei Huang.

3 papers in our library · 2024–2026

OpenAlex · h-index 0 · 2 works · 0 citations OpenAlex, 2026-10-14

📄 3 works in our library · 🔗 Cited 55 times in our library · ⭐ Paper Stars ranking: #7406

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

🎓University of Science and Technology of ChinaHefei · China2026 · 1 papercurrent

From the bylines of their papers (OpenAlex, 2026-10-14), ORCID and Wikidata; institutions on papers are matched by machine.

 Fields, topics and concepts

Of its works in our library, with the number of works on each.

📚 Shelves 7The field of science this work belongs to (OpenAlex fields).Computer Science · 3 worksArtificial Intelligence · 3 worksArts and Humanities · 2 worksLanguage and Linguistics · 2 worksSocial Sciences · 1 workSociology and Political Science · 1 workComputer Vision and Pattern Recognition · 1 work

🧭 Topics 3Research subjects and languages the work is about.Language models & pretraining · 2 worksVision & language · 2 worksReasoning · 1 work

 Works by year

2020s

20262 papers20241 paper

 Papers

The most cited first (OpenAlex and our library).

  1. One-Shot Learning as Instruction Data Prospector for Large Language Models (2024 · 61 citations)
    Instruction tuning datasets keep growing, but larger collections often carry noisy examples, and choosing good subsets usually depends on costly trial-and-error.
  2. OFFSIDE: Benchmarking Unlearning Misinformation in Multimodal Large Language Models (2026 · 4 citations)
    OFFSIDE is a benchmark for checking whether multimodal large language models (MLLMs) can be made to forget misinformation.
  3. SPD-Faith Bench: Diagnosing and Improving Faithfulness in Chain-of-Thought for Multimodal Large Language Models (2026 · 1 citation)
    Chain-of-Thought traces from multimodal large language models (MLLMs) often look coherent, yet they may not reflect how visual evidence actually drives the answer.

 Co-authors here

12 of 13 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 55 times (of the 149,439 papers whose bibliographies we read); 17 citing papers with a page here →.

Updated

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