---
title: "Richard Baraniuk · Rice University — author profile and papers"
description: "Richard Baraniuk, Rice University: 4 papers on Elamur Research (2023–2025), h-index 100 — affiliations, topics, co-authors and who cites…"
canonical: "https://research.elamur.ai/free/en/authors/richard-baraniuk/"
---
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# Richard Baraniuk

Richard Baraniuk has 4 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 [Naiming Liu](https://md.research.elamur.ai/free/en/authors/naiming-liu/), [Shashank Sonkar](https://md.research.elamur.ai/free/en/authors/shashank-sonkar/), [Alexander Scarlatos](https://md.research.elamur.ai/free/en/authors/alexander-scarlatos/).

4 papers in our library · 2023–2025

[OpenAlex](https://openalex.org/A5072713767) · [ORCID](https://orcid.org/0000-0002-0721-8999) · [Wikidata](https://www.wikidata.org/wiki/Q7323946) · [**h-index 100**](https://openalex.org/authors/A5072713767) · [801 works](https://openalex.org/works?filter=author.id:A5072713767) · [52,567 citations](https://openalex.org/works?filter=author.id:A5072713767&sort=cited_by_count:desc) OpenAlex, 2026-10-14

[📄 4 works in our library](https://md.research.elamur.ai/free/en/authors/richard-baraniuk/#papers) · [🔗 Cited 100 times in our library](https://md.research.elamur.ai/free/en/authors/richard-baraniuk/cited-by/) · [2 more in our library without a page yet](#also) · [⭐ Paper Stars ranking: #7022](https://md.research.elamur.ai/free/en/paper-stars/page/71/#star-7022)

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=Richard+Baraniuk) · [Semantic Scholar](https://www.semanticscholar.org/search?q=Richard+Baraniuk) · [dblp](https://dblp.org/search?q=Richard+Baraniuk) · [ACL Anthology](https://aclanthology.org/search/?q=Richard+Baraniuk)

## Affiliations

[🎓**Rice University** Houston · United States 1993–2026 · 576 papersEmployment*current*](https://md.research.elamur.ai/free/en/universities/rice-university/) · [🏥**Houston Methodist** Houston · United States 1989–2020 · 76 papers](https://ror.org/027zt9171) · [🎓**University of Illinois Urbana-Champaign** Urbana · United States 1989–2020 · 9 papersEducation](https://md.research.elamur.ai/free/en/universities/university-of-illinois-urbana-champaign/) · [🎓**École Normale Supérieure de Lyon** Lyon · France 1993–2003 · 5 papers](https://md.research.elamur.ai/free/en/universities/ecole-normale-superieure-de-lyon/) · [🎓**Columbia University** New York · United States 2016–2018 · 3 papers](https://md.research.elamur.ai/free/en/universities/columbia-university/) · [🎓**Baylor College of Medicine** Houston · United States 2016–2019 · 2 papers](https://ror.org/02pttbw34) · [🔬**Centre National de la Recherche Scientifique** Paris · France 1993–2008 · 2 papers](https://md.research.elamur.ai/free/en/labs/centre-national-de-la-recherche-scientifique/) · [🎓**University of Wisconsin–Madison** Madison · United States Education](https://md.research.elamur.ai/free/en/universities/university-of-wisconsin-madison/)

From the bylines of their papers (OpenAlex, 2026-10-14), ORCID and Wikidata; institutions on papers are matched by machine. 16 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 · 4 works](https://md.research.elamur.ai/free/en/shelves/computer-science/) · [Artificial Intelligence · 4 works](https://md.research.elamur.ai/free/en/shelves/computer-science/artificial-intelligence/) · [Information Systems · 4 works](https://md.research.elamur.ai/free/en/shelves/computer-science/information-systems/) · [Arts and Humanities · 2 works](https://md.research.elamur.ai/free/en/shelves/arts-and-humanities/) · [Language and Linguistics · 2 works](https://md.research.elamur.ai/free/en/shelves/arts-and-humanities/language-and-linguistics/) · [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/)

🧭 Topics 3 Research subjects and languages the work is about.[Language models & pretraining · 2 works](https://md.research.elamur.ai/free/en/topics/language-models/) · [Dialogue systems · 1 work](https://md.research.elamur.ai/free/en/topics/dialogue-systems/) · [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/richard-baraniuk/year/2025/) · [**2024** 1 paper](https://md.research.elamur.ai/free/en/authors/richard-baraniuk/year/2024/) · [**2023** 2 papers](https://md.research.elamur.ai/free/en/authors/richard-baraniuk/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. **[Pedagogical Alignment of Large Language Models](https://md.research.elamur.ai/free/en/papers/sonkar-2024-pedagogical-alignment-large-language-models/)** *(2024 · 54 citations)* Chat-based LLMs used as tutors tend to give students the final answer right away. Good teaching instead breaks a problem into steps and offers hints. The authors call the goal of training models toward this tutoring behaviour "pedagogical alignment." They treat it as a learning from human preferences (LHP) problem…
3. **[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…
4. **[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…

## All works

6 works of theirs in our library, the most cited first; 4 with a page here, the others link their original until we summarise them.

1. **[WIRE: Wavelet Implicit Neural Representations ↗](https://doi.org/10.1109/cvpr52729.2023.01775) IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings · no summary yet**Vishwanath Saragadam et al.*2023 · 187 citations*
2. [**CLASS: A Design Framework for Building Intelligent Tutoring Systems Based on Learning Science principles Findings of the Association for Computational Linguistics: EMNLP 2023**Shashank Sonkar, Naiming Liu, Debshila Mallick, et al.*2023 · 71 citations*](https://md.research.elamur.ai/free/en/papers/sonkar-2023-class-design-framework-building-intelligent/)
3. [**Pedagogical Alignment of Large Language Models Findings of the Association for Computational Linguistics: EMNLP 2024**Shashank Sonkar, Kangqi Ni, Sapana Chaudhary, et al.*2024 · 54 citations*](https://md.research.elamur.ai/free/en/papers/sonkar-2024-pedagogical-alignment-large-language-models/)
4. **[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/) [Lecture notes in computer science](https://md.research.elamur.ai/free/en/venues/lecture-notes-in-computer-science/)**Alexander Scarlatos, Naiming Liu, Jaewook Lee, et al.*2025 · 38 citations*
5. [**Novice Learner and Expert Tutor: Evaluating Math Reasoning Abilities of Large Language Models with Misconceptions arXiv:2310.02439**Naiming Liu, Shashank Sonkar, Zichao Wang, et al.*2023 · 14 citations*](https://md.research.elamur.ai/free/en/papers/liu-2023-novice-learner-expert-tutor-evaluating/)
6. **[Perspectives on the State and Future of Deep Learning - 2023 ↗](https://arxiv.org/abs/2312.09323) arXiv (Cornell University) · no summary yet**Micah Goldblum et al.*2023 · 5 citations*

## Co-authors here

7 co-authors with a page, the most papers together first.

- [Naiming Liu](https://md.research.elamur.ai/free/en/authors/naiming-liu/) ×3
- [Shashank Sonkar](https://md.research.elamur.ai/free/en/authors/shashank-sonkar/) ×3
- [Alexander Scarlatos](https://md.research.elamur.ai/free/en/authors/alexander-scarlatos/)
- [Andrew Lan](https://md.research.elamur.ai/free/en/authors/andrew-lan/)
- [Kangqi Ni](https://md.research.elamur.ai/free/en/authors/kangqi-ni/)
- [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.

- Findings of the Association for Computational Linguistics: EMNLP 2023 ×2
- [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/)
- IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings

## Cited by

Papers of our library cite their works 100 times (of the 149,439 papers whose bibliographies we read); [21 citing papers with a page here →](https://md.research.elamur.ai/free/en/authors/richard-baraniuk/cited-by/).

Updated 3 November 2026
