--- title: "Nan Rosemary Ke — author profile and papers in our library" description: "Nan Rosemary Ke: 2 papers on Elamur Research (2024), h-index 16 — affiliations, topics, co-authors and who cites them in our library." canonical: "https://research.elamur.ai/free/en/authors/nan-rosemary-ke/" --- [Elamur Research](https://md.research.elamur.ai/free/en/) · [this page in HTML](https://research.elamur.ai/free/en/authors/nan-rosemary-ke/) [home](https://md.research.elamur.ai/free/en/) / [authors](https://md.research.elamur.ai/free/en/authors/) / Nan Rosemary Ke # Nan Rosemary Ke Nan Rosemary Ke has 2 papers in our library, in 2024, most of them on [Language models & pretraining](https://md.research.elamur.ai/free/en/topics/language-models/), [Reasoning](https://md.research.elamur.ai/free/en/topics/reasoning/); often with [Anirudh Goyal](https://md.research.elamur.ai/free/en/authors/anirudh-goyal/), [Michael C. Mozer](https://md.research.elamur.ai/free/en/authors/michael-c-mozer/), [Sanjeev Arora](https://md.research.elamur.ai/free/en/authors/sanjeev-arora/). 2 papers in our library · 2024 [OpenAlex](https://openalex.org/A5102922377) · [ORCID](https://orcid.org/0009-0003-7647-8449) · [**h-index 16**](https://openalex.org/authors/A5102922377) · [50 works](https://openalex.org/works?filter=author.id:A5102922377) · [2,281 citations](https://openalex.org/works?filter=author.id:A5102922377&sort=cited_by_count:desc) OpenAlex, 2026-10-14 [📄 2 works in our library](https://md.research.elamur.ai/free/en/authors/nan-rosemary-ke/#papers) · [🔗 Cited 67 times in our library](https://md.research.elamur.ai/free/en/authors/nan-rosemary-ke/cited-by/) · [4 more in our library without a page yet](#also) · [⭐ Paper Stars ranking: #9194](https://md.research.elamur.ai/free/en/paper-stars/page/92/#star-9194) The profile is the library's match of the name; two people with one name are not always told apart. Elsewhere: [Google Scholar](https://scholar.google.com/citations?view_op=search_authors&mauthors=Nan+Rosemary+Ke) · [Semantic Scholar](https://www.semanticscholar.org/search?q=Nan+Rosemary+Ke) · [dblp](https://dblp.org/search?q=Nan+Rosemary+Ke) · [ACL Anthology](https://aclanthology.org/search/?q=Nan+Rosemary+Ke) ## Affiliations [🎓**Polytechnique Montréal** Montreal · Canada 2016–2022 · 9 papers](https://md.research.elamur.ai/free/en/universities/polytechnique-montreal/) · [🏢**Google DeepMind** London · United Kingdom 2021–2024 · 7 papersEmployment · Senior research scientist](https://md.research.elamur.ai/free/en/companies/google-deepmind/) · [🎓**Université de Montréal** Montreal · Canada 2016–2021 · 4 papers](https://md.research.elamur.ai/free/en/universities/universite-de-montreal/) · [🔬**Mila - Quebec Artificial Intelligence Institute** Montreal · Canada 2019–2021 · 2 papers](https://md.research.elamur.ai/free/en/labs/mila-quebec-artificial-intelligence-institute/) · [🎓**University of Auckland** Auckland · New Zealand 2011–2014 · 2 papers](https://md.research.elamur.ai/free/en/universities/university-of-auckland/) 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 7 The field of science this work belongs to (OpenAlex fields).[Arts and Humanities · 2 works](https://md.research.elamur.ai/free/en/shelves/arts-and-humanities/) · [Computer Science · 2 works](https://md.research.elamur.ai/free/en/shelves/computer-science/) · [Artificial Intelligence · 2 works](https://md.research.elamur.ai/free/en/shelves/computer-science/artificial-intelligence/) · [Language and Linguistics · 2 works](https://md.research.elamur.ai/free/en/shelves/arts-and-humanities/language-and-linguistics/) · [Applied Mathematics · 1 work](https://md.research.elamur.ai/free/en/shelves/mathematics/applied-mathematics/) · [Mathematics · 1 work](https://md.research.elamur.ai/free/en/shelves/mathematics/) · [Information Systems · 1 work](https://md.research.elamur.ai/free/en/shelves/computer-science/information-systems/) 🧭 Topics 2 Research subjects and languages the work is about.[Language models & pretraining · 1 work](https://md.research.elamur.ai/free/en/topics/language-models/) · [Reasoning · 1 work](https://md.research.elamur.ai/free/en/topics/reasoning/) ## Works by year ### 2020s [**2024** 2 papers](https://md.research.elamur.ai/free/en/authors/nan-rosemary-ke/year/2024/) ## Papers The most cited first (OpenAlex and our library). 1. **[Metacognitive Capabilities of LLMs: An Exploration in Mathematical Problem Solving](https://md.research.elamur.ai/free/en/papers/didolkar-2024-metacognitive-capabilities-llms-exploration-mathematical/)** *(2024 · 45 citations)* The authors ask whether large language models have something like metacognitive knowledge, meaning an awareness of which skills a task calls for, and whether that awareness can be used to improve their performance. 2. **[AI-Assisted Generation of Difficult Math Questions](https://md.research.elamur.ai/free/en/papers/shah-2024-ai-assisted-generation-difficult-math/)** *(2024 · 23 citations)* LLM training now treats mathematical reasoning as a core capability, but public sources of hard problems are largely used up. ## All works 6 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. [**Metacognitive Capabilities of LLMs: An Exploration in Mathematical Problem Solving arXiv:2405.12205**Aniket Didolkar, Anirudh Goyal, Nan Rosemary Ke, et al.*2024 · 45 citations*](https://md.research.elamur.ai/free/en/papers/didolkar-2024-metacognitive-capabilities-llms-exploration-mathematical/) 2. **[Task Loss Estimation for Sequence Prediction ↗](https://arxiv.org/abs/1511.06456) arXiv (Cornell University) · no summary yet**Dzmitry Bahdanau et al.*2015 · 29 citations* 3. [**AI-Assisted Generation of Difficult Math Questions arXiv:2407.21009**Vedant Shah, Dingli Yu, Kaifeng Lyu, et al.*2024 · 23 citations*](https://md.research.elamur.ai/free/en/papers/shah-2024-ai-assisted-generation-difficult-math/) 4. **[Learning Dynamics Model in Reinforcement Learning by Incorporating the Long Term Future ↗](https://arxiv.org/abs/1903.01599) arXiv (Cornell University) · no summary yet**Nan Rosemary Ke et al.*2019 · 15 citations* 5. **[Modeling the Long Term Future in Model-Based Reinforcement Learning ↗](https://openalex.org/W2923023063) International Conference on Learning Representations · no summary yet**Nan Rosemary Ke et al.*2018 · 14 citations* 6. **[Task Loss Estimation for Structured Prediction ↗](https://openalex.org/W2906030164) no summary yet**Dzmitry Bahdanau et al.*2016 · 5 citations* ## Co-authors here 12 co-authors with a page, the most papers together first. - [Anirudh Goyal](https://md.research.elamur.ai/free/en/authors/anirudh-goyal/) ×2 - [Michael C. Mozer](https://md.research.elamur.ai/free/en/authors/michael-c-mozer/) ×2 - [Sanjeev Arora](https://md.research.elamur.ai/free/en/authors/sanjeev-arora/) ×2 - [Yoshua Bengio](https://md.research.elamur.ai/free/en/authors/yoshua-bengio/) ×2 - [Aniket Didolkar](https://md.research.elamur.ai/free/en/authors/aniket-didolkar/) - [Danilo Jimenez Rezende](https://md.research.elamur.ai/free/en/authors/danilo-jimenez-rezende/) - [Jiatong Yu](https://md.research.elamur.ai/free/en/authors/jiatong-yu/) - [Kaifeng Lyu](https://md.research.elamur.ai/free/en/authors/kaifeng-lyu/) - [Michal Valko](https://md.research.elamur.ai/free/en/authors/michal-valko/) - [Siyuan Guo](https://md.research.elamur.ai/free/en/authors/siyuan-guo/) - [Timothy Lillicrap](https://md.research.elamur.ai/free/en/authors/timothy-lillicrap/) - [Vedant Shah](https://md.research.elamur.ai/free/en/authors/vedant-shah/) ## Venues Where their works here were published, the most works first, with the editions of those that have a page. - International Conference on Learning Representations ## Cited by Papers of our library cite their works 67 times (of the 149,439 papers whose bibliographies we read); [19 citing papers with a page here →](https://md.research.elamur.ai/free/en/authors/nan-rosemary-ke/cited-by/). Updated 3 November 2026