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Ankit Singh Rawat

Ankit Singh Rawat has 2 papers in our library, in 2019–2023, most of them on Language models & pretraining; often with Sanjiv Kumar, Manzil Zaheer, Sashank Jakkam Reddi.

2 papers in our library · 2019–2023

OpenAlex · ORCID · h-index 26 · 110 works · 2,460 citations OpenAlex, 2026-10-14

📄 2 works in our library · 🔗 Cited 174 times in our library · ⭐ Paper Stars ranking: #5924

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

🏢GoogleMountain View · United States2017–2025 · 33 paperscurrent🎓University of California San DiegoSan Diego · United States2025 · 1 papercurrent🎓The University of Texas at AustinAustin · United States2011–2020 · 30 papers🎓Massachusetts Institute of TechnologyCambridge · United States2017–2020 · 10 papers🎓Carnegie Mellon UniversityPittsburgh · United States2015–2018 · 8 papers🎓Indian Institute of Technology KanpurKanpur · India2010 · 3 papers

From the bylines of their papers (OpenAlex, 2026-10-14), ORCID and Wikidata; institutions on papers are matched by machine. 2 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 4The field of science this work belongs to (OpenAlex fields).Artificial Intelligence · 2 worksArts and Humanities · 2 worksComputer Science · 2 worksLanguage and Linguistics · 2 works

🧭 Topics 1Research subjects and languages the work is about.Language models & pretraining · 1 work

 Works by year

2020s

20231 paper

2010s

20191 paper

 Papers

The most cited first (OpenAlex and our library).

  1. Large Language Models with Controllable Working Memory (2023 · 158 citations)
    LLMs often receive a supporting context in the prompt, but it is unclear how that text interacts with facts stored in their weights.
  2. Are Transformers universal approximators of sequence-to-sequence functions? (2019 · 97 citations)
    Transformers are widely used for NLP, but it has been unclear which sequence-to-sequence mappings they can actually represent.

 Co-authors here

4 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 174 times (of the 149,439 papers whose bibliographies we read); 42 citing papers with a page here →.

Updated

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