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Azade Nova

Azade Nova has 2 papers in our library, in 2022–2024, most of them on Language models & pretraining, Reasoning; often with Aaron Courville, Ankesh Anand, Avi Singh.

2 papers in our library · 2022–2024

OpenAlex · h-index 7 · 19 works · 1,000 citations OpenAlex, 2026-10-14

📄 2 works in our library · 🔗 Cited 1,690 times in our library · 3 more in our library without a page yet · ⭐ Paper Stars ranking: #6078

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 States2021–2024 · 5 papers

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 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 2Research subjects and languages the work is about.Language models & pretraining · 2 worksReasoning · 1 work

 Works by year

2020s

20241 paper20221 paper

 Papers

The most cited first (OpenAlex and our library).

  1. Many-Shot In-Context Learning (2024 · 142 citations)
    Few-shot in-context learning (ICL) used to be capped by short context windows, so it only ever saw a handful of examples.
  2. Teaching Algorithmic Reasoning via In-context Learning (2022 · 96 citations)
    Large language models can generalize to new tasks from prompt examples, yet they still fail at algorithmic problems such as parity or multi-digit arithmetic, especially on inputs longer than those in the prompt.

All works

5 works of theirs in our library, the most cited first; 2 with a page here, the others link their original until we summarise them.

  1. A graph placement methodology for fast chip design ↗Nature · no summary yetAzalia Mirhoseini et al.2021 · 633 citations
  2. Many-Shot In-Context LearningConference on Neural Information Processing Systems (NeurIPS)Rishabh Agarwal, Avi Singh, Lei M. Zhang, et al.2024 · 142 citations
  3. Teaching Algorithmic Reasoning via In-context LearningarXiv:2211.09066Hattie Zhou, Azade Nova, Hugo Larochelle, et al.2022 · 96 citations
  4. NATURAL PLAN: Benchmarking LLMs on Natural Language Planning ↗arXiv:2406.04520 · no summary yetHuaixiu Steven Zheng et al.2024 · 51 citations
  5. Addendum: A graph placement methodology for fast chip design ↗Nature · no summary yetAnna Goldie et al.2024 · 13 citations

 Co-authors here

12 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 1,690 times (of the 149,439 papers whose bibliographies we read); 391 citing papers with a page here →.

Updated

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