--- title: "Dawn Lawrie — author profile and papers — Elamur Research" description: "Dawn Lawrie, Johns Hopkins University: 4 papers on Elamur Research (2024–2026), h-index 26 — affiliations, topics, co-authors and who…" canonical: "https://research.elamur.ai/free/en/authors/dawn-lawrie/" --- [Elamur Research](https://md.research.elamur.ai/free/en/) · [this page in HTML](https://research.elamur.ai/free/en/authors/dawn-lawrie/) [home](https://md.research.elamur.ai/free/en/) / [authors](https://md.research.elamur.ai/free/en/authors/) / Dawn Lawrie # Dawn Lawrie Dawn Lawrie has 4 papers in our library, in 2024–2026, most of them on [Language models & pretraining](https://md.research.elamur.ai/free/en/topics/language-models/), [Multilingual & cross-lingual NLP](https://md.research.elamur.ai/free/en/topics/multilingual-nlp/), [Information retrieval & search](https://md.research.elamur.ai/free/en/topics/information-retrieval/); often with [Benjamin Van Durme](https://md.research.elamur.ai/free/en/authors/benjamin-van-durme/), [Orion Weller](https://md.research.elamur.ai/free/en/authors/orion-weller/), [Daniel Khashabi](https://md.research.elamur.ai/free/en/authors/daniel-khashabi/). 4 papers in our library · 2024–2026 [OpenAlex](https://openalex.org/A5037074105) · [ORCID](https://orcid.org/0000-0001-7347-7086) · [Wikidata](https://www.wikidata.org/wiki/Q130935604) · [**h-index 26**](https://openalex.org/authors/A5037074105) · [174 works](https://openalex.org/works?filter=author.id:A5037074105) · [2,573 citations](https://openalex.org/works?filter=author.id:A5037074105&sort=cited_by_count:desc) OpenAlex, 2026-10-14 [📄 4 works in our library](https://md.research.elamur.ai/free/en/authors/dawn-lawrie/#papers) · [🔗 Cited 183 times in our library](https://md.research.elamur.ai/free/en/authors/dawn-lawrie/cited-by/) · [3 more in our library without a page yet](#also) · [⭐ Paper Stars ranking: #6225](https://md.research.elamur.ai/free/en/paper-stars/page/63/#star-6225) 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=Dawn+Lawrie) · [Semantic Scholar](https://www.semanticscholar.org/search?q=Dawn+Lawrie) · [dblp](https://dblp.org/search?q=Dawn+Lawrie) · [ACL Anthology](https://aclanthology.org/search/?q=Dawn+Lawrie) ## Affiliations [🎓**Johns Hopkins University** Baltimore · United States 2011–2026 · 75 papersEmployment since 2019 · Senior Research Scientist, Human Language Technology Center of Excellence*current*](https://md.research.elamur.ai/free/en/universities/johns-hopkins-university/) · [🔬**Allen Institute for Artificial Intelligence** Seattle · United States 2024–2026 · 3 papers*current*](https://md.research.elamur.ai/free/en/labs/allen-institute-for-artificial-intelligence/) · [🎓**Loyola University Maryland** Baltimore · United States 2003–2019 · 42 papersEmployment 2003–2019 · Full Professor, Computer Science](https://ror.org/01by1wp65) · [🎓**University of Massachusetts Amherst** Amherst Center · United States 1999–2005 · 7 papers](https://md.research.elamur.ai/free/en/universities/university-of-massachusetts-amherst/) · [🎓**University of Glasgow** Glasgow · United Kingdom 2024–2025 · 4 papers](https://md.research.elamur.ai/free/en/universities/university-of-glasgow/) · [🎓**Yale University** New Haven · United States 2024–2025 · 3 papers](https://md.research.elamur.ai/free/en/universities/yale-university/) · [🎓**Institut Polytechnique de Paris** Palaiseau · France 2024–2025 · 2 papers](https://md.research.elamur.ai/free/en/universities/institut-polytechnique-de-paris/) · [🎓**Télécom Paris** Palaiseau · France 2024–2025 · 2 papers](https://md.research.elamur.ai/free/en/universities/telecom-paris/) · [🔬**Johns Hopkins University Applied Physics Laboratory** North Laurel · United States 2023–2024 · 2 papers](https://ror.org/029pp9z10) From the bylines of their papers (OpenAlex, 2026-10-14), ORCID and Wikidata; institutions on papers are matched by machine. 4 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 6 The field of science this work belongs to (OpenAlex fields).[Arts and Humanities · 4 works](https://md.research.elamur.ai/free/en/shelves/arts-and-humanities/) · [Computer Science · 4 works](https://md.research.elamur.ai/free/en/shelves/computer-science/) · [Artificial Intelligence · 4 works](https://md.research.elamur.ai/free/en/shelves/computer-science/artificial-intelligence/) · [Language and Linguistics · 4 works](https://md.research.elamur.ai/free/en/shelves/arts-and-humanities/language-and-linguistics/) · [Information Systems · 2 works](https://md.research.elamur.ai/free/en/shelves/computer-science/information-systems/) · [Computer Vision and Pattern Recognition · 1 work](https://md.research.elamur.ai/free/en/shelves/computer-science/computer-vision-and-pattern-recognition/) 🧭 Topics 3 Research subjects and languages the work is about.[Multilingual & cross-lingual NLP · 1 work](https://md.research.elamur.ai/free/en/topics/multilingual-nlp/) · [Language models & pretraining · 1 work](https://md.research.elamur.ai/free/en/topics/language-models/) · [Information retrieval & search · 1 work](https://md.research.elamur.ai/free/en/topics/information-retrieval/) ## Works by year ### 2020s [**2026** 1 paper](https://md.research.elamur.ai/free/en/authors/dawn-lawrie/year/2026/) · [**2025** 2 papers](https://md.research.elamur.ai/free/en/authors/dawn-lawrie/year/2025/) · [**2024** 1 paper](https://md.research.elamur.ai/free/en/authors/dawn-lawrie/year/2024/) ## Papers The most cited first (OpenAlex and our library). 1. **[mmBERT: A Modern Multilingual Encoder with Annealed Language Learning](https://md.research.elamur.ai/free/en/papers/marone-2025-mmbert-modern-multilingual-encoder-annealed/)** *(2025 · 59 citations)* Multilingual encoder-only models have seen little progress in recent years, and XLM-R remains the default choice despite being more than six years old. 2. **[“According to . . . “: Prompting Language Models Improves Quoting from Pre-Training Data](https://md.research.elamur.ai/free/en/papers/weller-2024-according-prompting-language-models-improves/)** *(2024 · 46 citations)* Large language models often invent facts even though they were trained on reliable text. The authors test whether a simple cue in the prompt, such as "According to Wikipedia", can make a model reproduce more material it memorized during pre-training. To measure this, they introduce QUIP-Score (Quoted Information… 3. **[FollowIR: Evaluating and Teaching Information Retrieval Models to Follow Instructions](https://md.research.elamur.ai/free/en/papers/weller-2025-followir-evaluating-teaching-information-retrieval/)** *(2025 · 40 citations)* Neural retrievers are built on language models that can obey elaborate prompts, yet almost no retrieval system lets users attach detailed instructions to a query. 4. **[Query Decomposition for RAG: Balancing Exploration-Exploitation](https://md.research.elamur.ai/free/en/papers/petcu-2026-query-decomposition-rag-balancing-exploration/)** *(2026 · 2 citations)* In RAG, complex requests are often split into sub-queries. Pulling a fixed number of documents for each one, however, floods the generator with irrelevant text and can overflow the context window. Petcu et al. treat the choice of which sub-query to read from, and how far down its ranked list to go, as a multi-armed… ## All works 7 works of theirs in our library, the most cited first; 4 with a page here, the others link their original until we summarise them. 1. [**mmBERT: A Modern Multilingual Encoder with Annealed Language Learning arXiv:2509.06888**Marc Marone, Orion Weller, William Fleshman, et al.*2025 · 59 citations*](https://md.research.elamur.ai/free/en/papers/marone-2025-mmbert-modern-multilingual-encoder-annealed/) 2. **[Transfer Learning Approaches for Building Cross-Language Dense Retrieval Models ↗](https://doi.org/10.1007/978-3-030-99736-6_26) ECIR 2022 · no summary yet**Suraj Nair et al.*2022 · 51 citations* 3. **[“According to . . . “: Prompting Language Models Improves Quoting from Pre-Training Data](https://md.research.elamur.ai/free/en/papers/weller-2024-according-prompting-language-models-improves/) [Conference of the European Chapter of the Association for Computational Linguistics (EACL)](https://md.research.elamur.ai/free/en/venues/eacl/)**Orion Weller, Marc Marone, Nathaniel Weir, et al.*2024 · 46 citations* 4. **[FollowIR: Evaluating and Teaching Information Retrieval Models to Follow Instructions](https://md.research.elamur.ai/free/en/papers/weller-2025-followir-evaluating-teaching-information-retrieval/) [Conference of the North American Chapter of the Association for Computational Linguistics (NAACL)](https://md.research.elamur.ai/free/en/venues/naacl/)**Orion Weller, Benjamin Chang, Sean MacAvaney, et al.*2025 · 40 citations* 5. **[CLERC: A Dataset for U. S. Legal Case Retrieval and Retrieval-Augmented Analysis Generation ↗](https://aclanthology.org/2025.findings-naacl.441/) Findings of the Association for Computational Linguistics: NAACL 2025 · no summary yet**Abe Bohan Hou et al.*2025 · 29 citations* 6. **[CLERC: A Dataset for Legal Case Retrieval and Retrieval-Augmented Analysis Generation ↗](https://arxiv.org/abs/2406.17186) arXiv:2406.17186 · no summary yet**Abe Bohan Hou et al.*2024 · 21 citations* 7. **[Query Decomposition for RAG: Balancing Exploration-Exploitation](https://md.research.elamur.ai/free/en/papers/petcu-2026-query-decomposition-rag-balancing-exploration/) [Conference of the European Chapter of the Association for Computational Linguistics (EACL)](https://md.research.elamur.ai/free/en/venues/eacl/)**Roxana Petcu, Kenton Murray, Daniel Khashabi, et al.*2026 · 2 citations* ## Co-authors here 12 of 14 co-authors with a page, the most papers together first. - [Benjamin Van Durme](https://md.research.elamur.ai/free/en/authors/benjamin-van-durme/) ×3 - [Orion Weller](https://md.research.elamur.ai/free/en/authors/orion-weller/) ×3 - [Daniel Khashabi](https://md.research.elamur.ai/free/en/authors/daniel-khashabi/) ×2 - [Marc Marone](https://md.research.elamur.ai/free/en/authors/marc-marone/) ×2 - [Arman Cohan](https://md.research.elamur.ai/free/en/authors/arman-cohan/) - [Eugene Yang](https://md.research.elamur.ai/free/en/authors/eugene-yang/) - [Evangelos Kanoulas](https://md.research.elamur.ai/free/en/authors/evangelos-kanoulas/) - [Kenton Murray](https://md.research.elamur.ai/free/en/authors/kenton-murray/) - [Kevin Duh](https://md.research.elamur.ai/free/en/authors/kevin-duh/) - [Kyle Lo](https://md.research.elamur.ai/free/en/authors/kyle-lo/) - [Luca Soldaini](https://md.research.elamur.ai/free/en/authors/luca-soldaini/) - [Maarten de Rijke](https://md.research.elamur.ai/free/en/authors/maarten-de-rijke/) ## Venues Where their works here were published, the most works first, with the editions of those that have a page. - [Conference of the European Chapter of the Association for Computational Linguistics (EACL)](https://md.research.elamur.ai/free/en/venues/eacl/) ×2: [EACL 2026](https://md.research.elamur.ai/free/en/venues/eacl/2026/), [EACL 2024](https://md.research.elamur.ai/free/en/venues/eacl/2024/) - [Conference of the North American Chapter of the Association for Computational Linguistics (NAACL)](https://md.research.elamur.ai/free/en/venues/naacl/): [NAACL 2025](https://md.research.elamur.ai/free/en/venues/naacl/2025/) - ECIR 2022 - Findings of the Association for Computational Linguistics: NAACL 2025 ## Cited by Papers of our library cite their works 183 times (of the 149,439 papers whose bibliographies we read); [50 citing papers with a page here →](https://md.research.elamur.ai/free/en/authors/dawn-lawrie/cited-by/). Updated 31 October 2026