---
title: "Laura Ruis — author profile and papers — Elamur Research"
description: "Laura Ruis, Anthropic: 2 papers on Elamur Research (2022–2024), h-index 4 — affiliations, topics, co-authors and who cites them in our library."
canonical: "https://research.elamur.ai/free/en/authors/laura-ruis/"
---
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# Laura Ruis

Laura Ruis has 2 papers in our library, in 2022–2024, most of them on [Implicature](https://md.research.elamur.ai/free/en/topics/implicature/), [Language models & pretraining](https://md.research.elamur.ai/free/en/topics/language-models/); often with [Akbir Khan](https://md.research.elamur.ai/free/en/authors/akbir-khan/), [Edward Grefenstette](https://md.research.elamur.ai/free/en/authors/edward-grefenstette/), [Tim Rocktaschel](https://md.research.elamur.ai/free/en/authors/tim-rocktaschel/).

2 papers in our library · 2022–2024

[OpenAlex](https://openalex.org/A5060010430) · [**h-index 4**](https://openalex.org/authors/A5060010430) · [23 works](https://openalex.org/works?filter=author.id:A5060010430) · [113 citations](https://openalex.org/works?filter=author.id:A5060010430&sort=cited_by_count:desc) OpenAlex, 2026-10-14

[📄 2 works in our library](https://md.research.elamur.ai/free/en/authors/laura-ruis/#papers) · [🔗 Cited 153 times in our library](https://md.research.elamur.ai/free/en/authors/laura-ruis/cited-by/) · [1 more in our library without a page yet](#also) · [⭐ Paper Stars ranking: #6614](https://md.research.elamur.ai/free/en/paper-stars/page/67/#star-6614)

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=Laura+Ruis) · [Semantic Scholar](https://www.semanticscholar.org/search?q=Laura+Ruis) · [dblp](https://dblp.org/search?q=Laura+Ruis) · [ACL Anthology](https://aclanthology.org/search/?q=Laura+Ruis)

## Affiliations

[🎓**Massachusetts Institute of Technology** Cambridge · United States 2026 · 6 papers*current*](https://md.research.elamur.ai/free/en/universities/massachusetts-institute-of-technology/) · [🔬**MIT Computer Science and Artificial Intelligence Laboratory** Cambridge · United States 2026 · 2 papers*current*](https://md.research.elamur.ai/free/en/labs/mit-computer-science-and-artificial-intelligence-laboratory/) · [🏢**Anthropic** San Francisco · United States 2026 · 1 paper*current*](https://md.research.elamur.ai/free/en/companies/anthropic/) · [🎓**Imperial College London** London · United Kingdom 2026 · 1 paper*current*](https://md.research.elamur.ai/free/en/universities/imperial-college-london/) · [🎓**University College London** London · United Kingdom 2022–2025 · 5 papers](https://md.research.elamur.ai/free/en/universities/university-college-london/) · [🎓**University of Amsterdam** Amsterdam · Netherlands 2020 · 2 papers](https://md.research.elamur.ai/free/en/universities/university-of-amsterdam/)

From the bylines of their papers (OpenAlex, 2026-10-14), ORCID and Wikidata; institutions on papers are matched by machine. 2 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).[Artificial Intelligence · 2 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/) · [Computer Science · 2 works](https://md.research.elamur.ai/free/en/shelves/computer-science/) · [Language and Linguistics · 2 works](https://md.research.elamur.ai/free/en/shelves/arts-and-humanities/language-and-linguistics/) · [Safety Research · 1 work](https://md.research.elamur.ai/free/en/shelves/social-sciences/safety-research/) · [Social Sciences · 1 work](https://md.research.elamur.ai/free/en/shelves/social-sciences/)

🧭 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/) · [Implicature · 1 work](https://md.research.elamur.ai/free/en/topics/implicature/)

💡 Concepts 1 Key ideas and methods explained on our concept pages.[Implicature · 1 work](https://md.research.elamur.ai/free/en/concepts/implicature/)

## Works by year

### 2020s

[**2024** 1 paper](https://md.research.elamur.ai/free/en/authors/laura-ruis/year/2024/) · [**2022** 1 paper](https://md.research.elamur.ai/free/en/authors/laura-ruis/year/2022/)

## Papers

The most cited first (OpenAlex and our library).

1. **[Debating with More Persuasive LLMs Leads to More Truthful Answers](https://md.research.elamur.ai/free/en/papers/khan-2024-debating-more-persuasive-llms-leads/)** *(2024 · 101 citations)* The paper asks whether weaker overseers can reliably check stronger AI systems, a problem that grows as models outpace human expertise and ground-truth labels become unavailable.
2. **[The Goldilocks of Pragmatic Understanding: Fine-Tuning Strategy Matters for Implicature Resolution by LLMs](https://md.research.elamur.ai/free/en/papers/ruis-2022-goldilocks-pragmatic-understanding-fine-tuning/)** *(2022 · 86 citations)* The authors test whether large language models (LLMs) can understand conversational implicature, that is, an indirect answer.

## All works

3 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. [**Debating with More Persuasive LLMs Leads to More Truthful Answers arXiv:2402.06782**Akbir Khan, John Hughes, Dan Valentine, et al.*2024 · 101 citations*](https://md.research.elamur.ai/free/en/papers/khan-2024-debating-more-persuasive-llms-leads/)
2. **[The Goldilocks of Pragmatic Understanding: Fine-Tuning Strategy Matters for Implicature Resolution by LLMs](https://md.research.elamur.ai/free/en/papers/ruis-2022-goldilocks-pragmatic-understanding-fine-tuning/) [Conference on Neural Information Processing Systems (NeurIPS)](https://md.research.elamur.ai/free/en/venues/neural-information-processing-systems/)**Laura Ruis, Akbir Khan, Stella Biderman, et al.*2022 · 86 citations*
3. **[Why Larger Models Learn More: Effects of Capacity, Interference, and Rare-Task Retention ↗](https://arxiv.org/abs/2605.29548) arXiv (Cornell University) · no summary yet**Jing Huang et al.*2026*

## Co-authors here

9 co-authors with a page, the most papers together first.

- [Akbir Khan](https://md.research.elamur.ai/free/en/authors/akbir-khan/) ×2
- [Edward Grefenstette](https://md.research.elamur.ai/free/en/authors/edward-grefenstette/) ×2
- [Tim Rocktaschel](https://md.research.elamur.ai/free/en/authors/tim-rocktaschel/) ×2
- [Ansh Radhakrishnan](https://md.research.elamur.ai/free/en/authors/ansh-radhakrishnan/)
- [Ethan Perez](https://md.research.elamur.ai/free/en/authors/ethan-perez/)
- [John Hughes](https://md.research.elamur.ai/free/en/authors/john-hughes/)
- [Samuel R. Bowman](https://md.research.elamur.ai/free/en/authors/samuel-r-bowman/)
- [Sara Hooker](https://md.research.elamur.ai/free/en/authors/sara-hooker/)
- [Stella Biderman](https://md.research.elamur.ai/free/en/authors/stella-biderman/)

## Venues

Where their works here were published, the most works first, with the editions of those that have a page.

- [Conference on Neural Information Processing Systems (NeurIPS)](https://md.research.elamur.ai/free/en/venues/neural-information-processing-systems/): [NeurIPS 2022](https://md.research.elamur.ai/free/en/venues/neural-information-processing-systems/2022/)

## Cited by

Papers of our library cite their works 153 times (of the 149,439 papers whose bibliographies we read); [52 citing papers with a page here →](https://md.research.elamur.ai/free/en/authors/laura-ruis/cited-by/).

Updated 2 November 2026
