Elamur Research⌕
☰
home / authors / Do Xuan Long

Do Xuan Long

Do Xuan Long has 3 papers in our library, in 2022–2025, most of them on Language models & pretraining, Evaluation & benchmarks, Reasoning; often with Kenji Kawaguchi, Min-Yen Kan, Nancy Chen.

3 papers in our library · 2022–2025

OpenAlex · ORCID · h-index 8 · 11 works · 595 citations OpenAlex, 2026-10-14

📄 3 works in our library · 🔗 Cited 421 times in our library · ⭐ Paper Stars ranking: #2862

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

🎓National University of SingaporeSingapore · Singapore2024 · 1 papercurrent🎓Xiangtan UniversityXiangtan · China2018–2022 · 4 papers🎓Nanyang Technological UniversitySingapore · Singapore2022–2023 · 3 papers

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 9The 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 workSafety Research · 1 workSocial Sciences · 1 workPhysics and Astronomy · 1 workStatistical and Nonlinear Physics · 1 work

🧭 Topics 4Research subjects and languages the work is about.Evaluation & benchmarks · 2 worksReasoning · 2 worksQuestion answering · 1 workLanguage models & pretraining · 2 works

💡 Concepts 1Key ideas and methods explained on our concept pages.Question answering · 1 work

 Works by year

2020s

20251 paper20231 paper20221 paper

 Papers

The most cited first (OpenAlex and our library).

  1. ChartQA: A Benchmark for Question Answering about Charts with Visual and Logical Reasoning (2022 · 774 citations)
    Most chart question answering resources rely on templated questions, charts rendered by plotting software, and answers drawn from a small closed vocabulary.
  2. LLMs Are Biased Towards Output Formats! Systematically Evaluating and Mitigating Output Format Bias of LLMs (2025 · 14 citations)
    The paper examines how strongly the quality of LLM answers depends on the output format requested in the prompt.
  3. Aligning Large Language Models with Human Opinions through Persona Selection and Value — Belief — Norm Reasoning (2023 · 12 citations)
    LLMs struggle to predict how a specific person would answer opinion survey questions. Adding a user's demographics, ideology and past answers to the prompt helps, but models are easily distracted by irrelevant persona details. They also reason poorly over this information, and plain Chain-of-Thought gives no gains.…

 Co-authors here

6 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 421 times (of the 149,439 papers whose bibliographies we read); 122 citing papers with a page here →.

Updated

This page in Markdown → https://md.research.elamur.ai/free/en/authors/do-xuan-long/