--- title: "Carolin Lawrence — author profile and papers in our library" description: "Carolin Lawrence, NEC: 4 papers on Elamur Research (2018–2026), h-index 10 — affiliations, topics, co-authors and who cites them in our library." canonical: "https://research.elamur.ai/free/en/authors/carolin-lawrence/" --- [Elamur Research](https://md.research.elamur.ai/free/en/) · [this page in HTML](https://research.elamur.ai/free/en/authors/carolin-lawrence/) [home](https://md.research.elamur.ai/free/en/) / [authors](https://md.research.elamur.ai/free/en/authors/) / Carolin Lawrence # Carolin Lawrence Carolin Lawrence has 4 papers in our library, in 2018–2026, most of them on [Language models & pretraining](https://md.research.elamur.ai/free/en/topics/language-models/), [Evaluation & benchmarks](https://md.research.elamur.ai/free/en/topics/evaluation-benchmarks/), [Semantic parsing & meaning representation](https://md.research.elamur.ai/free/en/topics/semantic-parsing/); often with [Kiril Gashteovski](https://md.research.elamur.ai/free/en/authors/kiril-gashteovski/), [Graham Neubig](https://md.research.elamur.ai/free/en/authors/graham-neubig/), [Vijay Viswanathan](https://md.research.elamur.ai/free/en/authors/vijay-viswanathan/). 4 papers in our library · 2018–2026 [OpenAlex](https://openalex.org/A5070442264) · [**h-index 10**](https://openalex.org/authors/A5070442264) · [93 works](https://openalex.org/works?filter=author.id:A5070442264) · [372 citations](https://openalex.org/works?filter=author.id:A5070442264&sort=cited_by_count:desc) OpenAlex, 2026-10-14 [📄 4 works in our library](https://md.research.elamur.ai/free/en/authors/carolin-lawrence/#papers) · [🔗 Cited 107 times in our library](https://md.research.elamur.ai/free/en/authors/carolin-lawrence/cited-by/) · [4 more in our library without a page yet](#also) · [⭐ Paper Stars ranking: #5585](https://md.research.elamur.ai/free/en/paper-stars/page/56/#star-5585) 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=Carolin+Lawrence) · [Semantic Scholar](https://www.semanticscholar.org/search?q=Carolin+Lawrence) · [dblp](https://dblp.org/search?q=Carolin+Lawrence) · [ACL Anthology](https://aclanthology.org/search/?q=Carolin+Lawrence) ## Affiliations [🏢**NEC** Heidelberg · Germany 2021–2026 · 29 papers*current*](https://md.research.elamur.ai/free/en/companies/nec-germany/) · [🎓**Ss. Cyril and Methodius University in Skopje** Skopje · North Macedonia 2025–2026 · 3 papers*current*](https://md.research.elamur.ai/free/en/universities/ss-cyril-and-methodius-university-in-skopje/) · [🎓**Heidelberg University** Heidelberg · Germany 2016–2021 · 7 papers](https://md.research.elamur.ai/free/en/universities/heidelberg-university/) · [🎓**University of Washington** Seattle · United States 2024–2025 · 2 papers](https://md.research.elamur.ai/free/en/universities/university-of-washington/) · [🏢**NEC** Tokyo · Japan 2022 · 2 papers](https://md.research.elamur.ai/free/en/companies/nec-jp/) 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 8 The field of science this work belongs to (OpenAlex fields).[Artificial Intelligence · 4 works](https://md.research.elamur.ai/free/en/shelves/computer-science/artificial-intelligence/) · [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/) · [Language and Linguistics · 4 works](https://md.research.elamur.ai/free/en/shelves/arts-and-humanities/language-and-linguistics/) · [General Social Sciences · 1 work](https://md.research.elamur.ai/free/en/shelves/social-sciences/general-social-sciences/) · [Social Sciences · 1 work](https://md.research.elamur.ai/free/en/shelves/social-sciences/) · [Decision Sciences · 1 work](https://md.research.elamur.ai/free/en/shelves/decision-sciences/) · [Management Science and Operations Research · 1 work](https://md.research.elamur.ai/free/en/shelves/decision-sciences/management-science-and-operations-research/) 🧭 Topics 3 Research subjects and languages the work is about.[Language models & pretraining · 3 works](https://md.research.elamur.ai/free/en/topics/language-models/) · [Semantic parsing & meaning representation · 1 work](https://md.research.elamur.ai/free/en/topics/semantic-parsing/) · [Evaluation & benchmarks · 1 work](https://md.research.elamur.ai/free/en/topics/evaluation-benchmarks/) ## Works by year ### 2020s [**2026** 1 paper](https://md.research.elamur.ai/free/en/authors/carolin-lawrence/year/2026/) · [**2025** 1 paper](https://md.research.elamur.ai/free/en/authors/carolin-lawrence/year/2025/) · [**2024** 1 paper](https://md.research.elamur.ai/free/en/authors/carolin-lawrence/year/2024/) ### 2010s [**2018** 1 paper](https://md.research.elamur.ai/free/en/authors/carolin-lawrence/year/2018/) ## Papers The most cited first (OpenAlex and our library). 1. **[Large Language Models Enable Few-Shot Clustering](https://md.research.elamur.ai/free/en/papers/viswanathan-2024-large-language-models-enable-few/)** *(2024 · 111 citations)* Clustering without supervision is underspecified, because the algorithm cannot know which grouping the user actually wants. 2. **[Improving a Neural Semantic Parser by Counterfactual Learning from Human Bandit Feedback](https://md.research.elamur.ai/free/en/papers/lawrence-2018-improving-neural-semantic-parser-counterfactual/)** *(2018 · 68 citations)* Building training data for semantic parsers is costly because expert-written parses are hard to obtain. Gold answers are also hard to define for fuzzy geographical questions over OpenStreetMap (OSM), such as "near" or walking-distance queries. Lawrence and Riezler explore a weaker signal. A deployed parser proposes a… 3. **[Evaluating Language Models as Synthetic Data Generators](https://md.research.elamur.ai/free/en/papers/kim-2025-evaluating-language-models-as-synthetic/)** *(2025 · 32 citations)* Synthetic data now drives much of language model post-training. Earlier data-generation studies, however, each used different generator LMs, data volumes, student models and benchmarks, so their results cannot be compared to show which LM produces the most useful training data. Kim et al. address this with… 4. **[Compositional Steering of Large Language Models with Steering Tokens](https://md.research.elamur.ai/free/en/papers/radevski-2026-compositional-steering-large-language-models/)** *(2026)* Practical LLM deployments often need outputs that satisfy several requirements at once, such as a target language, length and format. ## All works 8 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. **[Large Language Models Enable Few-Shot Clustering](https://md.research.elamur.ai/free/en/papers/viswanathan-2024-large-language-models-enable-few/) [Transactions of the Association for Computational Linguistics (TACL)](https://md.research.elamur.ai/free/en/venues/tacl/)**Vijay Viswanathan, Kiril Gashteovski, Carolin Lawrence, et al.*2024 · 111 citations* 2. **[Improving a Neural Semantic Parser by Counterfactual Learning from Human Bandit Feedback](https://md.research.elamur.ai/free/en/papers/lawrence-2018-improving-neural-semantic-parser-counterfactual/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Carolin Lawrence, Stefan Riezler*2018 · 68 citations* 3. **[Evaluating Language Models as Synthetic Data Generators](https://md.research.elamur.ai/free/en/papers/kim-2025-evaluating-language-models-as-synthetic/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Seungone Kim, Juyoung Suk, Xiang Yue, et al.*2025 · 32 citations* 4. **[Not-Just-Scaling Laws: Towards a Better Understanding of the Downstream Impact of Language Model Design Decisions ↗](https://aclanthology.org/2025.emnlp-main.830/) Proceedings of the 2025 Conference on Empirical Methods in Natural Language Processing · no summary yet**Emmy Liu et al.*2025 · 6 citations* 5. **[KGxBoard: Explainable and Interactive Leaderboard for Evaluation of Knowledge Graph Completion Models ↗](https://aclanthology.org/2022.emnlp-demos.34/) Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing: System Demonstrations · no summary yet**Haris Widjaja et al.*2022 · 6 citations* 6. **[On the limits and opportunities of AI reviewers: Reviewing the reviews of Nature-family papers with 45 expert scientists ↗](https://arxiv.org/abs/2605.20668) arXiv:2605.20668 · no summary yet**Seungone Kim et al.*2026 · 2 citations* 7. **[Compositional Steering of Large Language Models with Steering Tokens](https://md.research.elamur.ai/free/en/papers/radevski-2026-compositional-steering-large-language-models/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Gorjan Radevski, Kiril Gashteovski, Giwon Hong, et al.*2026* 8. **[Scaling Evaluation-Time Compute with Reasoning Models as Evaluators ↗](https://aclanthology.org/2026.findings-acl.2102/) Findings of the Association for Computational Linguistics: ACL 2026 · no summary yet**Seungone Kim et al.*2026* ## Co-authors here 12 co-authors with a page, the most papers together first. - [Kiril Gashteovski](https://md.research.elamur.ai/free/en/authors/kiril-gashteovski/) ×3 - [Graham Neubig](https://md.research.elamur.ai/free/en/authors/graham-neubig/) ×2 - [Vijay Viswanathan](https://md.research.elamur.ai/free/en/authors/vijay-viswanathan/) ×2 - [Giwon Hong](https://md.research.elamur.ai/free/en/authors/giwon-hong/) - [Goran Glavaš](https://md.research.elamur.ai/free/en/authors/goran-glavas/) - [Juyoung Suk](https://md.research.elamur.ai/free/en/authors/juyoung-suk/) - [Sean Welleck](https://md.research.elamur.ai/free/en/authors/sean-welleck/) - [Seungone Kim](https://md.research.elamur.ai/free/en/authors/seungone-kim/) - [Stefan Riezler](https://md.research.elamur.ai/free/en/authors/stefan-riezler/) - [Tongshuang Wu](https://md.research.elamur.ai/free/en/authors/tongshuang-wu/) - [Xiang Yue](https://md.research.elamur.ai/free/en/authors/xiang-yue/) - [Yizhong Wang](https://md.research.elamur.ai/free/en/authors/yizhong-wang/) ## Venues Where their works here were published, the most works first, with the editions of those that have a page. - [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/) ×3: [ACL 2026](https://md.research.elamur.ai/free/en/venues/acl/2026/), [ACL 2025](https://md.research.elamur.ai/free/en/venues/acl/2025/), [ACL 2018](https://md.research.elamur.ai/free/en/venues/acl/2018/) - [Transactions of the Association for Computational Linguistics (TACL)](https://md.research.elamur.ai/free/en/venues/tacl/): [Transactions of the Association for Computational Linguistics (TACL) 2024](https://md.research.elamur.ai/free/en/venues/tacl/2024/) - Findings of the Association for Computational Linguistics: ACL 2026 - Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing: System Demonstrations - Proceedings of the 2025 Conference on Empirical Methods in Natural Language Processing ## Cited by Papers of our library cite their works 107 times (of the 149,439 papers whose bibliographies we read); [16 citing papers with a page here →](https://md.research.elamur.ai/free/en/authors/carolin-lawrence/cited-by/). Updated 1 November 2026