---
title: "Thomas Kollar — author profile and papers — Elamur Research"
description: "Thomas Kollar, Toyota Research Institute: 2 papers on Elamur Research (2013–2024), h-index 32 — affiliations, topics, co-authors and who…"
canonical: "https://research.elamur.ai/free/en/authors/thomas-kollar/"
---
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# Thomas Kollar

Thomas Kollar has 2 papers in our library, in 2013–2024, most of them on [Language models & pretraining](https://md.research.elamur.ai/free/en/topics/language-models/); often with [Jayant Krishnamurthy](https://md.research.elamur.ai/free/en/authors/jayant-krishnamurthy/), [Jean Mercat](https://md.research.elamur.ai/free/en/authors/jean-mercat/), [Kushal Arora](https://md.research.elamur.ai/free/en/authors/kushal-arora/).

2 papers in our library · 2013–2024

[OpenAlex](https://openalex.org/A5073644080) · [ORCID](https://orcid.org/0000-0003-2598-8118) · [**h-index 32**](https://openalex.org/authors/A5073644080) · [91 works](https://openalex.org/works?filter=author.id:A5073644080) · [3,522 citations](https://openalex.org/works?filter=author.id:A5073644080&sort=cited_by_count:desc) OpenAlex, 2026-10-14

[📄 2 works in our library](https://md.research.elamur.ai/free/en/authors/thomas-kollar/#papers) · [🔗 Cited 662 times in our library](https://md.research.elamur.ai/free/en/authors/thomas-kollar/cited-by/) · [4 more in our library without a page yet](#also) · [⭐ Paper Stars ranking: #5486](https://md.research.elamur.ai/free/en/paper-stars/page/55/#star-5486)

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

## Affiliations

[🔬**Toyota Research Institute** Palo Alto · United States 2020–2026 · 23 papersEmployment*current*](https://md.research.elamur.ai/free/en/labs/toyota-research-institute/) · [🎓**Massachusetts Institute of Technology** Cambridge · United States 2006–2013 · 23 papersEducation · Ph.D.](https://md.research.elamur.ai/free/en/universities/massachusetts-institute-of-technology/) · [🔬**MIT Computer Science and Artificial Intelligence Laboratory** Cambridge · United States 2006–2013 · 12 papers](https://md.research.elamur.ai/free/en/labs/mit-computer-science-and-artificial-intelligence-laboratory/) · [🎓**Carnegie Mellon University** Pittsburgh · United States 2012–2021 · 11 papers](https://md.research.elamur.ai/free/en/universities/carnegie-mellon-university/)

From the bylines of their papers (OpenAlex, 2026-10-14), ORCID and Wikidata; institutions on papers are matched by machine. 3 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 5 The field of science this work belongs to (OpenAlex fields).[Arts and Humanities · 2 works](https://md.research.elamur.ai/free/en/shelves/arts-and-humanities/) · [Computer Science · 2 works](https://md.research.elamur.ai/free/en/shelves/computer-science/) · [Artificial Intelligence · 2 works](https://md.research.elamur.ai/free/en/shelves/computer-science/artificial-intelligence/) · [Computer Vision and Pattern Recognition · 2 works](https://md.research.elamur.ai/free/en/shelves/computer-science/computer-vision-and-pattern-recognition/) · [Language and Linguistics · 2 works](https://md.research.elamur.ai/free/en/shelves/arts-and-humanities/language-and-linguistics/)

🧭 Topics 1 Research subjects and languages the work is about.[Language models & pretraining · 1 work](https://md.research.elamur.ai/free/en/topics/language-models/)

## Works by year

### 2020s

[**2024** 1 paper](https://md.research.elamur.ai/free/en/authors/thomas-kollar/year/2024/)

### 2010s

[**2013** 1 paper](https://md.research.elamur.ai/free/en/authors/thomas-kollar/year/2013/)

## Papers

The most cited first (OpenAlex and our library).

1. **[Jointly Learning to Parse and Perceive: Connecting Natural Language to the Physical World](https://md.research.elamur.ai/free/en/papers/krishnamurthy-2013-jointly-learning-parse-perceive-connecting/)** *(2013 · 207 citations)* This paper addresses grounded language acquisition: connecting natural-language statements to the objects they describe when the world is available only as raw perceptual features, not as a ready-made logical database.
2. **[Linearizing Large Language Models](https://md.research.elamur.ai/free/en/papers/mercat-2024-linearizing-large-language-models/)** *(2024 · 16 citations)* Linear-attention models and other recurrent models keep a fixed-size state during generation, which makes inference cheaper than in softmax transformers.

## All works

6 works of theirs in our library, the most cited first; 2 with a page here, the others link their original until we summarise them.

1. **[OpenVLA: An Open-Source Vision-Language-Action Model ↗](https://arxiv.org/abs/2406.09246) arXiv:2406.09246 · no summary yet**Moo Jin Kim et al.*2024 · 254 citations*
2. **[Jointly Learning to Parse and Perceive: Connecting Natural Language to the Physical World](https://md.research.elamur.ai/free/en/papers/krishnamurthy-2013-jointly-learning-parse-perceive-connecting/) [Transactions of the Association for Computational Linguistics (TACL)](https://md.research.elamur.ai/free/en/venues/tacl/)**Jayant Krishnamurthy, Thomas Kollar*2013 · 207 citations*
3. **[Open X-Embodiment: Robotic Learning Datasets and RT-X Models ↗](https://arxiv.org/abs/2310.08864) arXiv:2310.08864 · no summary yet**Embodiment Collaboration et al.*2023 · 204 citations*
4. **[Language-Driven Representation Learning for Robotics ↗](https://doi.org/10.15607/rss.2023.xix.032) arXiv:2302.12766 · no summary yet**Siddharth Karamcheti et al.*2023 · 88 citations*
5. **[Prismatic VLMs: Investigating the Design Space of Visually-Conditioned Language Models ↗](https://arxiv.org/abs/2402.07865) arXiv (Cornell University) · no summary yet**Siddharth Karamcheti et al.*2024 · 51 citations*
6. [**Linearizing Large Language Models arXiv:2405.06640**Jean Mercat, Igor Vasiljevic, Sedrick Keh, et al.*2024 · 16 citations*](https://md.research.elamur.ai/free/en/papers/mercat-2024-linearizing-large-language-models/)

## Co-authors here

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

- [Jayant Krishnamurthy](https://md.research.elamur.ai/free/en/authors/jayant-krishnamurthy/)
- [Jean Mercat](https://md.research.elamur.ai/free/en/authors/jean-mercat/)
- [Kushal Arora](https://md.research.elamur.ai/free/en/authors/kushal-arora/)
- [Sedrick Keh](https://md.research.elamur.ai/free/en/authors/sedrick-keh/)

## Venues

Where their works here were published, the most works first, with the editions of those that have a page.

- [Conference on Neural Information Processing Systems (NeurIPS)](https://md.research.elamur.ai/free/en/venues/neural-information-processing-systems/)
- [Transactions of the Association for Computational Linguistics (TACL)](https://md.research.elamur.ai/free/en/venues/tacl/): [Transactions of the Association for Computational Linguistics (TACL) 2013](https://md.research.elamur.ai/free/en/venues/tacl/2013/)

## Cited by

Papers of our library cite their works 662 times (of the 149,439 papers whose bibliographies we read); [87 citing papers with a page here →](https://md.research.elamur.ai/free/en/authors/thomas-kollar/cited-by/).

Updated 30 October 2026
