---
title: "Sreyan Ghosh — author profile and papers — Elamur Research"
description: "Sreyan Ghosh, Nvidia: 3 papers on Elamur Research (2024–2026), h-index 12 — affiliations, topics, co-authors and who cites them in our library."
canonical: "https://research.elamur.ai/free/en/authors/sreyan-ghosh/"
---
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# Sreyan Ghosh

Sreyan Ghosh has 3 papers in our library, in 2024–2026, most of them on [Speech & spoken language](https://md.research.elamur.ai/free/en/topics/speech/), [Reasoning](https://md.research.elamur.ai/free/en/topics/reasoning/), [Language models & pretraining](https://md.research.elamur.ai/free/en/topics/language-models/); often with [Ashish Seth](https://md.research.elamur.ai/free/en/authors/ashish-seth/), [Dinesh Manocha](https://md.research.elamur.ai/free/en/authors/dinesh-manocha/), [Oriol Nieto](https://md.research.elamur.ai/free/en/authors/oriol-nieto/).

3 papers in our library · 2024–2026

[OpenAlex](https://openalex.org/A5033408639) · [ORCID](https://orcid.org/0000-0003-3773-561X) · [**h-index 12**](https://openalex.org/authors/A5033408639) · [83 works](https://openalex.org/works?filter=author.id:A5033408639) · [442 citations](https://openalex.org/works?filter=author.id:A5033408639&sort=cited_by_count:desc) OpenAlex, 2026-10-14

[📄 3 works in our library](https://md.research.elamur.ai/free/en/authors/sreyan-ghosh/#papers) · [🔗 Cited 127 times in our library](https://md.research.elamur.ai/free/en/authors/sreyan-ghosh/cited-by/) · [1 more in our library without a page yet](#also) · [⭐ Paper Stars ranking: #7037](https://md.research.elamur.ai/free/en/paper-stars/page/71/#star-7037)

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

## Affiliations

[🎓**University of Maryland, College Park** College Park · United States 2022–2026 · 44 papers*current*](https://md.research.elamur.ai/free/en/universities/university-of-maryland-college-park/) · [🏢**Nvidia** Santa Clara · United States 2023–2026 · 4 papers*current*](https://md.research.elamur.ai/free/en/companies/nvidia/) · [🎓**Indian Institute of Technology Madras** Chennai · India 2021–2022 · 6 papers](https://md.research.elamur.ai/free/en/universities/indian-institute-of-technology-madras/) · [🎓**Christ University** Bengaluru · India 2016–2021 · 5 papersEducation 2016–2020 · Bachelor of Technology in Computer Science and Engineering, Computer Science and Engineering](https://ror.org/022tv9y30) · [🎓**Indraprastha Institute of Information Technology Delhi** Delhi · India 2021–2022 · 3 papers](https://md.research.elamur.ai/free/en/universities/indraprastha-institute-of-information-technology-delhi/)

🏛️**University of Maryland** Md. · [United States](https://md.research.elamur.ai/free/en/countries/united-states/) 2022–2027Education 2022–2027 · Ph.D., Computer Science

🏛️**Speech Lab IIT Madras** Chennai · [India](https://md.research.elamur.ai/free/en/countries/india/) 2021Employment since 2021 · Project Associate (Research), Electrical Engineering

🏛️**Cisco Systems** Bangalore · [India](https://md.research.elamur.ai/free/en/countries/india/) 2020Employment since 2020

From the bylines of their papers (OpenAlex, 2026-10-14), ORCID and Wikidata; institutions on papers are matched by machine. 6 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 6 The field of science this work belongs to (OpenAlex fields).[Arts and Humanities · 3 works](https://md.research.elamur.ai/free/en/shelves/arts-and-humanities/) · [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/) · [Language and Linguistics · 3 works](https://md.research.elamur.ai/free/en/shelves/arts-and-humanities/language-and-linguistics/) · [Computer Vision and Pattern Recognition · 2 works](https://md.research.elamur.ai/free/en/shelves/computer-science/computer-vision-and-pattern-recognition/) · [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.[Reasoning · 3 works](https://md.research.elamur.ai/free/en/topics/reasoning/) · [Speech & spoken language · 3 works](https://md.research.elamur.ai/free/en/topics/speech/) · [Language models & pretraining · 1 work](https://md.research.elamur.ai/free/en/topics/language-models/) · [Evaluation & benchmarks · 1 work](https://md.research.elamur.ai/free/en/topics/evaluation-benchmarks/)

## Works by year

### 2020s

[**2026** 1 paper](https://md.research.elamur.ai/free/en/authors/sreyan-ghosh/year/2026/) · [**2024** 2 papers](https://md.research.elamur.ai/free/en/authors/sreyan-ghosh/year/2024/)

## Papers

The most cited first (OpenAlex and our library).

1. **[GAMA: A Large Audio-Language Model with Advanced Audio Understanding and Complex Reasoning Abilities](https://md.research.elamur.ai/free/en/papers/ghosh-2024-gama-large-audio-language-model/)** *(2024 · 87 citations)* Large audio-language models (LALMs) such as LTU, SALMONN and Pengi handle captioning and simple factual audio questions well.
2. **[MMAU: A Massive Multi-Task Audio Understanding and Reasoning Benchmark](https://md.research.elamur.ai/free/en/papers/sakshi-2024-mmau-massive-multi-task-audio/)** *(2024 · 67 citations)* Large Audio-Language Models (LALMs) are usually tested on basic tasks such as ASR, acoustic scene classification, or genre labeling.
3. **[Speech-Hands: A Self-Reflection Voice Agentic Approach to Speech Recognition and Audio Reasoning with Omni Perception](https://md.research.elamur.ai/free/en/papers/wan-2026-speech-hands-self-reflection-voice/)** *(2026)* Omni-modal models that process audio and text should, in principle, improve speech recognition when also given transcripts from an external ASR system.

## All works

4 works of theirs in our library, the most cited first; 3 with a page here, the others link their original until we summarise them.

1. **[GAMA: A Large Audio-Language Model with Advanced Audio Understanding and Complex Reasoning Abilities](https://md.research.elamur.ai/free/en/papers/ghosh-2024-gama-large-audio-language-model/) [Conference on Empirical Methods in Natural Language Processing (EMNLP)](https://md.research.elamur.ai/free/en/venues/emnlp/)**Sreyan Ghosh, Sonal Kumar, Ashish Seth, et al.*2024 · 87 citations*
2. [**MMAU: A Massive Multi-Task Audio Understanding and Reasoning Benchmark arXiv:2410.19168**S Sakshi, Utkarsh Tyagi, Sonal Kumar, et al.*2024 · 67 citations*](https://md.research.elamur.ai/free/en/papers/sakshi-2024-mmau-massive-multi-task-audio/)
3. **[DALE: Generative Data Augmentation for Low-Resource Legal NLP ↗](https://aclanthology.org/2023.emnlp-main.528/) Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing · no summary yet**Sreyan Ghosh et al.*2023 · 34 citations*
4. **[Speech-Hands: A Self-Reflection Voice Agentic Approach to Speech Recognition and Audio Reasoning with Omni Perception](https://md.research.elamur.ai/free/en/papers/wan-2026-speech-hands-self-reflection-voice/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Zhen Wan, Chao-Han Huck Yang, Jinchuan Tian, et al.*2026*

## Co-authors here

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

- [Ashish Seth](https://md.research.elamur.ai/free/en/authors/ashish-seth/) ×2
- [Dinesh Manocha](https://md.research.elamur.ai/free/en/authors/dinesh-manocha/) ×2
- [Oriol Nieto](https://md.research.elamur.ai/free/en/authors/oriol-nieto/) ×2
- [Ramani Duraiswami](https://md.research.elamur.ai/free/en/authors/ramani-duraiswami/) ×2
- [S Sakshi](https://md.research.elamur.ai/free/en/authors/s-sakshi/) ×2
- [Sonal Kumar](https://md.research.elamur.ai/free/en/authors/sonal-kumar/) ×2
- [Utkarsh Tyagi](https://md.research.elamur.ai/free/en/authors/utkarsh-tyagi/) ×2
- [Ankita Pasad](https://md.research.elamur.ai/free/en/authors/ankita-pasad/)
- [Chao-Han Huck Yang](https://md.research.elamur.ai/free/en/authors/chao-han-huck-yang/)
- [Jinchuan Tian](https://md.research.elamur.ai/free/en/authors/jinchuan-tian/)
- [Shizhe Diao](https://md.research.elamur.ai/free/en/authors/shizhe-diao/)
- [Zhen Wan](https://md.research.elamur.ai/free/en/authors/zhen-wan/)

## Venues

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

- [Conference on Empirical Methods in Natural Language Processing (EMNLP)](https://md.research.elamur.ai/free/en/venues/emnlp/) ×2: [EMNLP 2024](https://md.research.elamur.ai/free/en/venues/emnlp/2024/)
- [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/): [ACL 2026](https://md.research.elamur.ai/free/en/venues/acl/2026/)

## Cited by

Papers of our library cite their works 127 times (of the 149,439 papers whose bibliographies we read); [37 citing papers with a page here →](https://md.research.elamur.ai/free/en/authors/sreyan-ghosh/cited-by/).

Updated 2 November 2026
