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Naiming Liu

Naiming Liu has 3 papers in our library, in 2023–2025, most of them on Language models & pretraining, Dialogue systems, Reasoning; often with Richard Baraniuk, Shashank Sonkar, Alexander Scarlatos.

3 papers in our library · 2023–2025

OpenAlex · ORCID · Wikidata · h-index 16 · 57 works · 864 citations OpenAlex, 2026-10-14

📄 3 works in our library · 🔗 Cited 65 times in our library · ⭐ Paper Stars ranking: #7906

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

🏢MicronBoise · United States2026 · 2 paperscurrent🎓Rice UniversityHouston · United States2021–2024 · 16 papers🎓Sichuan UniversityChengdu · China2013–2024 · 11 papers🎓University of VirginiaCharlottesville · United States2016–2020 · 10 papersEducation🎓Shaanxi Normal UniversityXi'an · China2019–2023 · 4 papers🎓Southwest University of Science and TechnologyMianyang · China2010–2012 · 3 papers🎓Hunan UniversityChangsha · China2021 · 2 papers

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 7The field of science this work belongs to (OpenAlex fields).Computer Science · 3 worksArtificial Intelligence · 3 worksInformation Systems · 3 worksMedicine · 1 workHealth Informatics · 1 workArts and Humanities · 1 workLanguage and Linguistics · 1 work

🧭 Topics 3Research subjects and languages the work is about.Dialogue systems · 1 workLanguage models & pretraining · 1 workReasoning · 1 work

 Works by year

2020s

20251 paper20232 papers

 Papers

The most cited first (OpenAlex and our library).

  1. CLASS: A Design Framework for Building Intelligent Tutoring Systems Based on Learning Science principles (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 (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 (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.

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 65 times (of the 149,439 papers whose bibliographies we read); 19 citing papers with a page here →.

Updated

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