---
title: "Grant Strimel — author profile and papers — Elamur Research"
description: "Grant Strimel: 2 papers on Elamur Research (2022–2026), h-index 9 — affiliations, topics, co-authors and who cites them in our library."
canonical: "https://research.elamur.ai/free/en/authors/grant-strimel/"
---
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# Grant Strimel

Grant Strimel has 2 papers in our library, in 2022–2026, most of them on [Speech & spoken language](https://md.research.elamur.ai/free/en/topics/speech/), [Speech act theory](https://md.research.elamur.ai/free/en/topics/speech-act-theory/), [Dialogue systems](https://md.research.elamur.ai/free/en/topics/dialogue-systems/); often with [Markus Muller](https://md.research.elamur.ai/free/en/authors/markus-muller/), [Nathan Susanj](https://md.research.elamur.ai/free/en/authors/nathan-susanj/), [Jing Liu](https://md.research.elamur.ai/free/en/authors/jing-liu/).

2 papers in our library · 2022–2026

[OpenAlex](https://openalex.org/A5023708721) · [**h-index 9**](https://openalex.org/authors/A5023708721) · [57 works](https://openalex.org/works?filter=author.id:A5023708721) · [284 citations](https://openalex.org/works?filter=author.id:A5023708721&sort=cited_by_count:desc) OpenAlex, 2026-10-14

[📄 2 works in our library](https://md.research.elamur.ai/free/en/authors/grant-strimel/#papers) · 🔗 Cited 1 time in our library · [⭐ Paper Stars ranking: #11515](https://md.research.elamur.ai/free/en/paper-stars/page/116/#star-11515)

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

## Affiliations

[🏢**Amazon** Seattle · United States 2020–2024 · 24 papers](https://md.research.elamur.ai/free/en/companies/amazon/) · [🎓**Carnegie Mellon University** Pittsburgh · United States 2013–2022 · 3 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/) · [Language and Linguistics · 2 works](https://md.research.elamur.ai/free/en/shelves/arts-and-humanities/language-and-linguistics/) · [Signal Processing · 2 works](https://md.research.elamur.ai/free/en/shelves/computer-science/signal-processing/)

🧭 Topics 4 Research subjects and languages the work is about.[Speech & spoken language · 2 works](https://md.research.elamur.ai/free/en/topics/speech/) · [Dialogue systems · 1 work](https://md.research.elamur.ai/free/en/topics/dialogue-systems/) · [Speech act theory · 1 work](https://md.research.elamur.ai/free/en/topics/speech-act-theory/) · [Information retrieval & search · 1 work](https://md.research.elamur.ai/free/en/topics/information-retrieval/)

## Works by year

### 2020s

[**2026** 1 paper](https://md.research.elamur.ai/free/en/authors/grant-strimel/year/2026/) · [**2022** 1 paper](https://md.research.elamur.ai/free/en/authors/grant-strimel/year/2022/)

## Papers

The most cited first (OpenAlex and our library).

1. **[A neural prosody encoder for end-ro-end dialogue act classification](https://md.research.elamur.ai/free/en/papers/wei-2022-neural-prosody-encoder-end-ro/)** *(2022 · 1 citation)* Dialogue act classification (DAC) decides what a speaker is doing with an utterance: stating, asking, agreeing, or simply signalling attention.
2. **[PlanRAG-Audio: Planning and Retrieval Augmented Generation for Long-form Audio Understanding](https://md.research.elamur.ai/free/en/papers/someki-2026-planrag-audio-planning-retrieval-augmented/)** *(2026)* Large audio language models (LALMs) struggle with recordings that last minutes or hours. The token count becomes very large, and many questions require combining different signals spread across the recording: what was said, who said it, emotional tone, and non-speech sounds. The authors present PlanRAG-Audio, which…

## Co-authors here

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

- [Markus Muller](https://md.research.elamur.ai/free/en/authors/markus-muller/) ×2
- [Nathan Susanj](https://md.research.elamur.ai/free/en/authors/nathan-susanj/) ×2
- [Jing Liu](https://md.research.elamur.ai/free/en/authors/jing-liu/)
- [Kai Wei](https://md.research.elamur.ai/free/en/authors/kai-wei/)
- [Shinji Watanabe](https://md.research.elamur.ai/free/en/authors/shinji-watanabe/)

## 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 2026](https://md.research.elamur.ai/free/en/venues/findings/2026/)

## Cited by

Papers of our library cite their works 1 time (of the 149,439 papers whose bibliographies we read).

Updated 1 November 2026
