--- title: "Naiming Liu — author profile and papers — Elamur Research" description: "Naiming Liu, Micron: 3 papers on Elamur Research (2023–2025), h-index 16 — affiliations, topics, co-authors and who cites them in our library." canonical: "https://research.elamur.ai/free/en/authors/naiming-liu/" --- [Elamur Research](https://md.research.elamur.ai/free/en/) · [this page in HTML](https://research.elamur.ai/free/en/authors/naiming-liu/) [home](https://md.research.elamur.ai/free/en/) / [authors](https://md.research.elamur.ai/free/en/authors/) / Naiming Liu # Naiming Liu Naiming Liu has 3 papers in our library, in 2023–2025, most of them on [Language models & pretraining](https://md.research.elamur.ai/free/en/topics/language-models/), [Dialogue systems](https://md.research.elamur.ai/free/en/topics/dialogue-systems/), [Reasoning](https://md.research.elamur.ai/free/en/topics/reasoning/); often with [Richard Baraniuk](https://md.research.elamur.ai/free/en/authors/richard-baraniuk/), [Shashank Sonkar](https://md.research.elamur.ai/free/en/authors/shashank-sonkar/), [Alexander Scarlatos](https://md.research.elamur.ai/free/en/authors/alexander-scarlatos/). 3 papers in our library · 2023–2025 [OpenAlex](https://openalex.org/A5007900487) · [ORCID](https://orcid.org/0000-0003-2449-2874) · [Wikidata](https://www.wikidata.org/wiki/Q91273570) · [**h-index 16**](https://openalex.org/authors/A5007900487) · [57 works](https://openalex.org/works?filter=author.id:A5007900487) · [864 citations](https://openalex.org/works?filter=author.id:A5007900487&sort=cited_by_count:desc) OpenAlex, 2026-10-14 [📄 3 works in our library](https://md.research.elamur.ai/free/en/authors/naiming-liu/#papers) · [🔗 Cited 65 times in our library](https://md.research.elamur.ai/free/en/authors/naiming-liu/cited-by/) · [⭐ Paper Stars ranking: #7906](https://md.research.elamur.ai/free/en/paper-stars/page/80/#star-7906) 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=Naiming+Liu) · [Semantic Scholar](https://www.semanticscholar.org/search?q=Naiming+Liu) · [dblp](https://dblp.org/search?q=Naiming+Liu) · [ACL Anthology](https://aclanthology.org/search/?q=Naiming+Liu) ## Affiliations [🏢**Micron** Boise · United States 2026 · 2 papers*current*](https://ror.org/02fv52296) · [🎓**Rice University** Houston · United States 2021–2024 · 16 papers](https://md.research.elamur.ai/free/en/universities/rice-university/) · [🎓**Sichuan University** Chengdu · China 2013–2024 · 11 papers](https://md.research.elamur.ai/free/en/universities/sichuan-university/) · [🎓**University of Virginia** Charlottesville · United States 2016–2020 · 10 papersEducation](https://md.research.elamur.ai/free/en/universities/university-of-virginia/) · [🎓**Shaanxi Normal University** Xi'an · China 2019–2023 · 4 papers](https://md.research.elamur.ai/free/en/universities/shaanxi-normal-university/) · [🎓**Southwest University of Science and Technology** Mianyang · China 2010–2012 · 3 papers](https://ror.org/04d996474) · [🎓**Hunan University** Changsha · China 2021 · 2 papers](https://md.research.elamur.ai/free/en/universities/hunan-university/) From the bylines of their papers (OpenAlex, 2026-10-14), ORCID and Wikidata; institutions on papers are matched by machine. 2 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 7 The field of science this work belongs to (OpenAlex fields).[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/) · [Information Systems · 3 works](https://md.research.elamur.ai/free/en/shelves/computer-science/information-systems/) · [Medicine · 1 work](https://md.research.elamur.ai/free/en/shelves/medicine/) · [Health Informatics · 1 work](https://md.research.elamur.ai/free/en/shelves/medicine/health-informatics/) · [Arts and Humanities · 1 work](https://md.research.elamur.ai/free/en/shelves/arts-and-humanities/) · [Language and Linguistics · 1 work](https://md.research.elamur.ai/free/en/shelves/arts-and-humanities/language-and-linguistics/) 🧭 Topics 3 Research subjects and languages the work is about.[Dialogue systems · 1 work](https://md.research.elamur.ai/free/en/topics/dialogue-systems/) · [Language models & pretraining · 1 work](https://md.research.elamur.ai/free/en/topics/language-models/) · [Reasoning · 1 work](https://md.research.elamur.ai/free/en/topics/reasoning/) ## Works by year ### 2020s [**2025** 1 paper](https://md.research.elamur.ai/free/en/authors/naiming-liu/year/2025/) · [**2023** 2 papers](https://md.research.elamur.ai/free/en/authors/naiming-liu/year/2023/) ## Papers The most cited first (OpenAlex and our library). 1. **[CLASS: A Design Framework for Building Intelligent Tutoring Systems Based on Learning Science principles](https://md.research.elamur.ai/free/en/papers/sonkar-2023-class-design-framework-building-intelligent/)** *(2023 · 71 citations)* Building intelligent tutoring systems (ITS) has traditionally depended on rules or constraints written by human experts. 2. **[Training LLM-Based Tutors to Improve Student Learning Outcomes in Dialogues](https://md.research.elamur.ai/free/en/papers/scarlatos-2025-training-llm-based-tutors-improve/)** *(2025 · 38 citations)* LLM tutors are usually built by prompting or fine-tuning models to imitate good teaching practice. They are rarely optimized for whether students actually learn. The authors propose training a small open-source model, Llama 3.1 8B, to produce tutor turns that make a correct student reply more likely while still… 3. **[Novice Learner and Expert Tutor: Evaluating Math Reasoning Abilities of Large Language Models with Misconceptions](https://md.research.elamur.ai/free/en/papers/liu-2023-novice-learner-expert-tutor-evaluating/)** *(2023 · 14 citations)* Standard math benchmarks for LLMs only check whether a model reaches the right answer. This paper asks whether models understand mathematical concepts well enough to reason about wrong answers. It uses multiple-choice grade-school questions from the Eedi platform, where each distractor is tied to a known student… ## Co-authors here 6 co-authors with a page, the most papers together first. - [Richard Baraniuk](https://md.research.elamur.ai/free/en/authors/richard-baraniuk/) ×3 - [Shashank Sonkar](https://md.research.elamur.ai/free/en/authors/shashank-sonkar/) ×2 - [Alexander Scarlatos](https://md.research.elamur.ai/free/en/authors/alexander-scarlatos/) - [Andrew Lan](https://md.research.elamur.ai/free/en/authors/andrew-lan/) - [Simon Woodhead](https://md.research.elamur.ai/free/en/authors/simon-woodhead/) - [Zichao Wang](https://md.research.elamur.ai/free/en/authors/zichao-wang/) ## Venues Where their works here were published, the most works first, with the editions of those that have a page. - [Lecture notes in computer science](https://md.research.elamur.ai/free/en/venues/lecture-notes-in-computer-science/): [Lecture notes in computer science 2025](https://md.research.elamur.ai/free/en/venues/lecture-notes-in-computer-science/2025/) - Findings of the Association for Computational Linguistics: EMNLP 2023 ## Cited by Papers of our library cite their works 65 times (of the 149,439 papers whose bibliographies we read); [19 citing papers with a page here →](https://md.research.elamur.ai/free/en/authors/naiming-liu/cited-by/). Updated 3 November 2026