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Dhanush Bekal

Dhanush Bekal has 2 papers in our library, in 2019–2024, most of them on Language models & pretraining, Text generation, Speech & spoken language; often with Hannaneh Hajishirzi, Mirella Lapata, Prashant Mathur.

2 papers in our library · 2019–2024

OpenAlex · h-index 5 · 12 works · 256 citations OpenAlex, 2026-10-14

📄 2 works in our library · 🔗 Cited 150 times in our library · ⭐ Paper Stars ranking: #4836

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

🏢AmazonSeattle · United States2021–2024 · 6 paperscurrent

From the bylines of their papers (OpenAlex, 2026-10-14), ORCID and Wikidata; institutions on papers are matched by machine. 1 more institution 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 · 2 worksComputer Science · 2 worksArtificial Intelligence · 2 worksLanguage and Linguistics · 2 worksComputer Vision and Pattern Recognition · 1 workSignal Processing · 1 work

🧭 Topics 4Research subjects and languages the work is about.Knowledge graphs & ontologies · 1 workText generation · 1 workLanguage models & pretraining · 1 workSpeech & spoken language · 1 work

💡 Concepts 1Key ideas and methods explained on our concept pages.Knowledge graph · 1 work

 Works by year

2020s

20241 paper

2010s

20191 paper

 Papers

The most cited first (OpenAlex and our library).

  1. Text Generation from Knowledge Graphs with Graph Transformers (2019 · 288 citations)
    The paper asks whether automatically extracted knowledge, rather than costly hand-built tables or document plans, can guide the generation of coherent multi-sentence text.
  2. SpeechVerse: A Large-scale Generalizable Audio Language Model (2024 · 30 citations)
    Most LLM-based audio models handle only a few fine-tuned tasks, such as ASR or translation. Cascaded ASR-then-LLM pipelines also lose paralinguistic cues like tone or emotion. SpeechVerse, from AWS AI Labs, addresses both problems by connecting a frozen self-supervised speech encoder to a frozen text LLM (FlanT5).…

 Co-authors here

6 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 150 times (of the 149,439 papers whose bibliographies we read); 13 citing papers with a page here →.

Updated

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