--- title: "Do Xuan Long — author profile and papers — Elamur Research" description: "Do Xuan Long, National University of Singapore: 3 papers on Elamur Research (2022–2025), h-index 8 — affiliations, topics, co-authors and…" canonical: "https://research.elamur.ai/free/en/authors/do-xuan-long/" --- [Elamur Research](https://md.research.elamur.ai/free/en/) · [this page in HTML](https://research.elamur.ai/free/en/authors/do-xuan-long/) [home](https://md.research.elamur.ai/free/en/) / [authors](https://md.research.elamur.ai/free/en/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](https://md.research.elamur.ai/free/en/topics/language-models/), [Evaluation & benchmarks](https://md.research.elamur.ai/free/en/topics/evaluation-benchmarks/), [Reasoning](https://md.research.elamur.ai/free/en/topics/reasoning/); often with [Kenji Kawaguchi](https://md.research.elamur.ai/free/en/authors/kenji-kawaguchi/), [Min-Yen Kan](https://md.research.elamur.ai/free/en/authors/min-yen-kan/), [Nancy Chen](https://md.research.elamur.ai/free/en/authors/nancy-chen/). 3 papers in our library · 2022–2025 [OpenAlex](https://openalex.org/A5004655201) · [ORCID](https://orcid.org/0009-0000-6424-8388) · [**h-index 8**](https://openalex.org/authors/A5004655201) · [11 works](https://openalex.org/works?filter=author.id:A5004655201) · [595 citations](https://openalex.org/works?filter=author.id:A5004655201&sort=cited_by_count:desc) OpenAlex, 2026-10-14 [📄 3 works in our library](https://md.research.elamur.ai/free/en/authors/do-xuan-long/#papers) · [🔗 Cited 421 times in our library](https://md.research.elamur.ai/free/en/authors/do-xuan-long/cited-by/) · [⭐ Paper Stars ranking: #2862](https://md.research.elamur.ai/free/en/paper-stars/page/29/#star-2862) The profile is the library's match of the name; two people with one name are not always told apart. Elsewhere: [Google Scholar](https://scholar.google.com/citations?view_op=search_authors&mauthors=Do+Xuan+Long) · [Semantic Scholar](https://www.semanticscholar.org/search?q=Do+Xuan+Long) · [dblp](https://dblp.org/search?q=Do+Xuan+Long) · [ACL Anthology](https://aclanthology.org/search/?q=Do+Xuan+Long) ## Affiliations [🎓**National University of Singapore** Singapore · Singapore 2024 · 1 paper*current*](https://md.research.elamur.ai/free/en/universities/national-university-of-singapore/) · [🎓**Xiangtan University** Xiangtan · China 2018–2022 · 4 papers](https://ror.org/00xsfaz62) · [🎓**Nanyang Technological University** Singapore · Singapore 2022–2023 · 3 papers](https://md.research.elamur.ai/free/en/universities/nanyang-technological-university/) 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 9 The field of science this work belongs to (OpenAlex fields).[Arts and Humanities · 3 works](https://md.research.elamur.ai/free/en/shelves/arts-and-humanities/) · [Computer Science · 3 works](https://md.research.elamur.ai/free/en/shelves/computer-science/) · [Artificial Intelligence · 3 works](https://md.research.elamur.ai/free/en/shelves/computer-science/artificial-intelligence/) · [Language and Linguistics · 3 works](https://md.research.elamur.ai/free/en/shelves/arts-and-humanities/language-and-linguistics/) · [Computer Vision and Pattern Recognition · 1 work](https://md.research.elamur.ai/free/en/shelves/computer-science/computer-vision-and-pattern-recognition/) · [Safety Research · 1 work](https://md.research.elamur.ai/free/en/shelves/social-sciences/safety-research/) · [Social Sciences · 1 work](https://md.research.elamur.ai/free/en/shelves/social-sciences/) · [Physics and Astronomy · 1 work](https://md.research.elamur.ai/free/en/shelves/physics-and-astronomy/) · [Statistical and Nonlinear Physics · 1 work](https://md.research.elamur.ai/free/en/shelves/physics-and-astronomy/statistical-and-nonlinear-physics/) 🧭 Topics 4 Research subjects and languages the work is about.[Evaluation & benchmarks · 2 works](https://md.research.elamur.ai/free/en/topics/evaluation-benchmarks/) · [Reasoning · 2 works](https://md.research.elamur.ai/free/en/topics/reasoning/) · [Question answering · 1 work](https://md.research.elamur.ai/free/en/topics/question-answering/) · [Language models & pretraining · 2 works](https://md.research.elamur.ai/free/en/topics/language-models/) 💡 Concepts 1 Key ideas and methods explained on our concept pages.[Question answering · 1 work](https://md.research.elamur.ai/free/en/concepts/question-answering/) ## Works by year ### 2020s [**2025** 1 paper](https://md.research.elamur.ai/free/en/authors/do-xuan-long/year/2025/) · [**2023** 1 paper](https://md.research.elamur.ai/free/en/authors/do-xuan-long/year/2023/) · [**2022** 1 paper](https://md.research.elamur.ai/free/en/authors/do-xuan-long/year/2022/) ## Papers The most cited first (OpenAlex and our library). 1. **[ChartQA: A Benchmark for Question Answering about Charts with Visual and Logical Reasoning](https://md.research.elamur.ai/free/en/papers/masry-2022-chartqa-benchmark-question-answering-about/)** *(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](https://md.research.elamur.ai/free/en/papers/long-2025-llms-are-biased-output-formats/)** *(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](https://md.research.elamur.ai/free/en/papers/long-2023-aligning-large-language-models-human/)** *(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. - [Kenji Kawaguchi](https://md.research.elamur.ai/free/en/authors/kenji-kawaguchi/) ×2 - [Min-Yen Kan](https://md.research.elamur.ai/free/en/authors/min-yen-kan/) ×2 - [Nancy Chen](https://md.research.elamur.ai/free/en/authors/nancy-chen/) ×2 - [Shafiq Joty](https://md.research.elamur.ai/free/en/authors/shafiq-joty/) ×2 - [Ahmed Masry](https://md.research.elamur.ai/free/en/authors/ahmed-masry/) - [Enamul Hoque](https://md.research.elamur.ai/free/en/authors/enamul-hoque/) ## Venues Where their works here were published, the most works first, with the editions of those that have a page. - [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/): [Findings of the Association for Computational Linguistics 2022](https://md.research.elamur.ai/free/en/venues/findings/2022/) - [Conference of the North American Chapter of the Association for Computational Linguistics (NAACL)](https://md.research.elamur.ai/free/en/venues/naacl/): [NAACL 2025](https://md.research.elamur.ai/free/en/venues/naacl/2025/) ## 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 →](https://md.research.elamur.ai/free/en/authors/do-xuan-long/cited-by/). Updated 30 October 2026