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Ramani Duraiswami

Ramani Duraiswami has 3 papers in our library, in 2024–2026, most of them on Speech & spoken language, Reasoning, Language models & pretraining; often with Ashish Seth, Dinesh Manocha, Oriol Nieto.

3 papers in our library · 2024–2026

OpenAlex · ORCID · h-index 50 · 459 works · 9,149 citations OpenAlex, 2026-10-14

📄 3 works in our library · 🔗 Cited 106 times in our library · ⭐ Paper Stars ranking: #7036

The profile is the library's match of the name; two people with one name are not always told apart.

Elsewhere: Google Scholar · Semantic Scholar · dblp · ACL Anthology

 Affiliations

🎓University of Maryland, College ParkCollege Park · United States1999–2026 · 255 papersEmploymentcurrent🎓University of Maryland ExtensionBaltimore · United States2026 · 1 papercurrent🏢DynaflowJessup · United States1992–1998 · 10 papers

From the bylines of their papers (OpenAlex, 2026-10-14), ORCID and Wikidata; institutions on papers are matched by machine. 9 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 6The field of science this work belongs to (OpenAlex fields).Arts and Humanities · 3 worksComputer Science · 3 worksArtificial Intelligence · 3 worksComputer Vision and Pattern Recognition · 3 worksLanguage and Linguistics · 3 worksSignal Processing · 1 work

🧭 Topics 5Research subjects and languages the work is about.Speech & spoken language · 3 worksReasoning · 2 worksLanguage models & pretraining · 1 workEvaluation & benchmarks · 1 workQuestion answering · 1 work

 Works by year

2020s

20261 paper20242 papers

 Papers

The most cited first (OpenAlex and our library).

  1. GAMA: A Large Audio-Language Model with Advanced Audio Understanding and Complex Reasoning Abilities (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 (2024 · 67 citations)
    Large Audio-Language Models (LALMs) are usually tested on basic tasks such as ASR, acoustic scene classification, or genre labeling.
  3. ORCA: Open-ended Response Correctness Assessment for Audio Question Answering (2026)
    Large audio language models (LALMs) are usually tested with multiple-choice questions, even though free-form answers better reflect real use.

 Co-authors here

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

Venues

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

 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 →.

Updated

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