--- title: "S Sakshi — author profile and papers — Elamur Research" description: "S Sakshi: 2 papers on Elamur Research (2024), h-index 1 — affiliations, topics, co-authors and who cites them in our library." canonical: "https://research.elamur.ai/free/en/authors/s-sakshi/" --- [Elamur Research](https://md.research.elamur.ai/free/en/) · [this page in HTML](https://research.elamur.ai/free/en/authors/s-sakshi/) [home](https://md.research.elamur.ai/free/en/) / [authors](https://md.research.elamur.ai/free/en/authors/) / S Sakshi # S Sakshi S Sakshi has 2 papers in our library, in 2024, 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/). 2 papers in our library · 2024 [OpenAlex](https://openalex.org/A5105422890) · [**h-index 1**](https://openalex.org/authors/A5105422890) · [9 works](https://openalex.org/works?filter=author.id:A5105422890) · [49 citations](https://openalex.org/works?filter=author.id:A5105422890&sort=cited_by_count:desc) OpenAlex, 2026-10-14 [📄 2 works in our library](https://md.research.elamur.ai/free/en/authors/s-sakshi/#papers) · [🔗 Cited 106 times in our library](https://md.research.elamur.ai/free/en/authors/s-sakshi/cited-by/) · [⭐ Paper Stars ranking: #7047](https://md.research.elamur.ai/free/en/paper-stars/page/71/#star-7047) 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=S+Sakshi) · [Semantic Scholar](https://www.semanticscholar.org/search?q=S+Sakshi) · [dblp](https://dblp.org/search?q=S+Sakshi) · [ACL Anthology](https://aclanthology.org/search/?q=S+Sakshi) ## Affiliations [🎓**University of Maryland, College Park** College Park · United States 2024 · 2 papers](https://md.research.elamur.ai/free/en/universities/university-of-maryland-college-park/) From the bylines of their papers (OpenAlex, 2026-10-14), ORCID and Wikidata; institutions on papers are matched by machine. ## 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 · 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/) · [Signal Processing · 1 work](https://md.research.elamur.ai/free/en/shelves/computer-science/signal-processing/) 🧭 Topics 4 Research subjects and languages the work is about.[Reasoning · 2 works](https://md.research.elamur.ai/free/en/topics/reasoning/) · [Speech & spoken language · 2 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 [**2024** 2 papers](https://md.research.elamur.ai/free/en/authors/s-sakshi/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. ## Co-authors here 7 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 - [Sonal Kumar](https://md.research.elamur.ai/free/en/authors/sonal-kumar/) ×2 - [Sreyan Ghosh](https://md.research.elamur.ai/free/en/authors/sreyan-ghosh/) ×2 - [Utkarsh Tyagi](https://md.research.elamur.ai/free/en/authors/utkarsh-tyagi/) ×2 ## 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/): [EMNLP 2024](https://md.research.elamur.ai/free/en/venues/emnlp/2024/) ## Cited by Papers of our library cite their works 106 times (of the 149,439 papers whose bibliographies we read); [35 citing papers with a page here →](https://md.research.elamur.ai/free/en/authors/s-sakshi/cited-by/). Updated 2 November 2026