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Ashish Seth

Ashish Seth has 2 papers in our library, in 2024, most of them on Speech & spoken language, Reasoning, Language models & pretraining; often with Dinesh Manocha, Oriol Nieto, Ramani Duraiswami.

2 papers in our library · 2024

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📄 2 works in our library · 🔗 Cited 106 times in our library · ⭐ Paper Stars ranking: #7040

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

 Fields, topics and concepts

Of its works in our library, with the number of works on each.

 Works by year

2020s

 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.

 Co-authors here

7 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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