--- title: "Urmish Thakker · Microsoft — author profile and papers" description: "Urmish Thakker, Microsoft: 3 papers on Elamur Research (2023–2025), h-index 14 — affiliations, topics, co-authors and who cites them in…" canonical: "https://research.elamur.ai/free/en/authors/urmish-thakker/" --- [Elamur Research](https://md.research.elamur.ai/free/en/) · [this page in HTML](https://research.elamur.ai/free/en/authors/urmish-thakker/) [home](https://md.research.elamur.ai/free/en/) / [authors](https://md.research.elamur.ai/free/en/authors/) / Urmish Thakker # Urmish Thakker Urmish Thakker has 3 papers in our library, in 2023–2025, 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 [Changran Hu](https://md.research.elamur.ai/free/en/authors/changran-hu/), [Chen Wu](https://md.research.elamur.ai/free/en/authors/chen-wu/), [Fenglu Hong](https://md.research.elamur.ai/free/en/authors/fenglu-hong/). 3 papers in our library · 2023–2025 [OpenAlex](https://openalex.org/A5090396089) · [ORCID](https://orcid.org/0000-0002-0515-9155) · [Wikidata](https://www.wikidata.org/wiki/Q122701888) · [**h-index 14**](https://openalex.org/authors/A5090396089) · [50 works](https://openalex.org/works?filter=author.id:A5090396089) · [3,088 citations](https://openalex.org/works?filter=author.id:A5090396089&sort=cited_by_count:desc) OpenAlex, 2026-10-14 [📄 3 works in our library](https://md.research.elamur.ai/free/en/authors/urmish-thakker/#papers) · [🔗 Cited 2,601 times in our library](https://md.research.elamur.ai/free/en/authors/urmish-thakker/cited-by/) · [1 more in our library without a page yet](#also) · [⭐ Paper Stars ranking: #9123](https://md.research.elamur.ai/free/en/paper-stars/page/92/#star-9123) 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=Urmish+Thakker) · [Semantic Scholar](https://www.semanticscholar.org/search?q=Urmish+Thakker) · [dblp](https://dblp.org/search?q=Urmish+Thakker) · [ACL Anthology](https://aclanthology.org/search/?q=Urmish+Thakker) ## Affiliations [🏢**Microsoft** Redmond · United States 2026 · 2 papers*current*](https://md.research.elamur.ai/free/en/companies/microsoft/) · [🎓**University of Wisconsin–Madison** Madison · United States 2020–2021 · 4 papers](https://md.research.elamur.ai/free/en/universities/university-of-wisconsin-madison/) · [🎓**Stanford University** Stanford · United States 2022 · 2 papers](https://md.research.elamur.ai/free/en/universities/stanford-university/) 🏛️**Arm** Austin · [United States](https://md.research.elamur.ai/free/en/countries/united-states/) 2016Employment since 2016 · Senior Research Engineer, ML Research Lab 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 5 The field of science this work belongs to (OpenAlex fields).[Computer Science · 3 works](https://md.research.elamur.ai/free/en/shelves/computer-science/) · [Artificial Intelligence · 3 works](https://md.research.elamur.ai/free/en/shelves/computer-science/artificial-intelligence/) · [Arts and Humanities · 2 works](https://md.research.elamur.ai/free/en/shelves/arts-and-humanities/) · [Language and Linguistics · 2 works](https://md.research.elamur.ai/free/en/shelves/arts-and-humanities/language-and-linguistics/) · [Computational Theory and Mathematics · 1 work](https://md.research.elamur.ai/free/en/shelves/computer-science/computational-theory-and-mathematics/) 🧭 Topics 2 Research subjects and languages the work is about.[Language models & pretraining · 2 works](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 [**2025** 1 paper](https://md.research.elamur.ai/free/en/authors/urmish-thakker/year/2025/) · [**2024** 1 paper](https://md.research.elamur.ai/free/en/authors/urmish-thakker/year/2024/) · [**2023** 1 paper](https://md.research.elamur.ai/free/en/authors/urmish-thakker/year/2023/) ## Papers The most cited first (OpenAlex and our library). 1. **[Agentic Context Engineering: Evolving Contexts for Self-Improving Language Models](https://md.research.elamur.ai/free/en/papers/zhang-2025-agentic-context-engineering-evolving-contexts/)** *(2025 · 39 citations)* LLM systems such as agents and domain-specific reasoners often improve by changing their input context rather than their weights. 2. **[Efficiently Adapting Pretrained Language Models To New Languages](https://md.research.elamur.ai/free/en/papers/csaki-2023-efficiently-adapting-pretrained-language-models/)** *(2023 · 21 citations)* Open LLMs trained mostly on English often do poorly on lower-resource languages, and building a model for such a language from scratch requires more data and compute than is usually available. 3. **[SubgoalXL: Subgoal-based Expert Learning for Theorem Proving](https://md.research.elamur.ai/free/en/papers/zhao-2024-subgoalxl-subgoal-based-expert-learning/)** *(2024 · 10 citations)* SubgoalXL targets two obstacles for LLM-based formal theorem proving in Isabelle: proof data in this domain is scarce, and models struggle with long multi-step reasoning. ## All works 4 works of theirs in our library, the most cited first; 3 with a page here, the others link their original until we summarise them. 1. **[BLOOM: A 176B-Parameter Open-Access Multilingual Language Model ↗](https://arxiv.org/abs/2211.05100) arXiv:2211.05100 · no summary yet**BigScience Workshop et al.*2022 · 1,606 citations* 2. [**Agentic Context Engineering: Evolving Contexts for Self-Improving Language Models arXiv:2510.04618**Qizheng Zhang, Changran Hu, Shubhangi Upasani, et al.*2025 · 39 citations*](https://md.research.elamur.ai/free/en/papers/zhang-2025-agentic-context-engineering-evolving-contexts/) 3. [**Efficiently Adapting Pretrained Language Models To New Languages arXiv:2311.05741**Zoltan Csaki, Pian Pawakapan, Urmish Thakker, et al.*2023 · 21 citations*](https://md.research.elamur.ai/free/en/papers/csaki-2023-efficiently-adapting-pretrained-language-models/) 4. [**SubgoalXL: Subgoal-based Expert Learning for Theorem Proving arXiv:2408.11172**Xueliang Zhao, Lin Zheng, Haige Bo, et al.*2024 · 10 citations*](https://md.research.elamur.ai/free/en/papers/zhao-2024-subgoalxl-subgoal-based-expert-learning/) ## Co-authors here 7 co-authors with a page, the most papers together first. - [Changran Hu](https://md.research.elamur.ai/free/en/authors/changran-hu/) ×2 - [Chen Wu](https://md.research.elamur.ai/free/en/authors/chen-wu/) - [Fenglu Hong](https://md.research.elamur.ai/free/en/authors/fenglu-hong/) - [James Zou](https://md.research.elamur.ai/free/en/authors/james-zou/) - [Lingpeng Kong](https://md.research.elamur.ai/free/en/authors/lingpeng-kong/) - [Qiantong Xu](https://md.research.elamur.ai/free/en/authors/qiantong-xu/) - [Xueliang Zhao](https://md.research.elamur.ai/free/en/authors/xueliang-zhao/) ## Cited by Papers of our library cite their works 2,601 times (of the 149,439 papers whose bibliographies we read); [623 citing papers with a page here →](https://md.research.elamur.ai/free/en/authors/urmish-thakker/cited-by/). Updated 3 November 2026