---
title: "Lorenz Kuhn — author profile and papers · Text generation"
description: "Lorenz Kuhn: 2 papers on Elamur Research (2023–2025), h-index 7 — affiliations, topics, co-authors and who cites them in our library."
canonical: "https://research.elamur.ai/free/en/authors/lorenz-kuhn/"
---
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# Lorenz Kuhn

Lorenz Kuhn has 2 papers in our library, in 2023–2025, most of them on [Text generation](https://md.research.elamur.ai/free/en/topics/text-generation/), [Reasoning](https://md.research.elamur.ai/free/en/topics/reasoning/); often with [Alexander Wei](https://md.research.elamur.ai/free/en/authors/alexander-wei/), [Daniel Selsam](https://md.research.elamur.ai/free/en/authors/daniel-selsam/), [David Dohan](https://md.research.elamur.ai/free/en/authors/david-dohan/).

2 papers in our library · 2023–2025

[OpenAlex](https://openalex.org/A5054381323) · [**h-index 7**](https://openalex.org/authors/A5054381323) · [13 works](https://openalex.org/works?filter=author.id:A5054381323) · [1,053 citations](https://openalex.org/works?filter=author.id:A5054381323&sort=cited_by_count:desc) OpenAlex, 2026-10-14

[📄 2 works in our library](https://md.research.elamur.ai/free/en/authors/lorenz-kuhn/#papers) · [🔗 Cited 1,758 times in our library](https://md.research.elamur.ai/free/en/authors/lorenz-kuhn/cited-by/) · [⭐ Paper Stars ranking: #4244](https://md.research.elamur.ai/free/en/paper-stars/page/43/#star-4244)

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

## Affiliations

[🎓**ETH Zurich** Zurich · Switzerland 2016–2021 · 3 papers](https://md.research.elamur.ai/free/en/universities/eth-zurich/) · [🎓**University of Oxford** Oxford · United Kingdom 2023–2024 · 2 papers](https://md.research.elamur.ai/free/en/universities/university-of-oxford/) · [🔬**IBM Research - Zurich** Rüschlikon · Switzerland 2018 · 2 papers](https://md.research.elamur.ai/free/en/labs/ibm-research-zurich/)

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).[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/) · [Computer Science Applications · 1 work](https://md.research.elamur.ai/free/en/shelves/computer-science/computer-science-applications/)

🧭 Topics 2 Research subjects and languages the work is about.[Text generation · 1 work](https://md.research.elamur.ai/free/en/topics/text-generation/) · [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/lorenz-kuhn/year/2025/) · [**2023** 1 paper](https://md.research.elamur.ai/free/en/authors/lorenz-kuhn/year/2023/)

## Papers

The most cited first (OpenAlex and our library).

1. **[Semantic Uncertainty: Linguistic Invariances for Uncertainty Estimation in Natural Language Generation](https://md.research.elamur.ai/free/en/papers/kuhn-2023-semantic-uncertainty-linguistic-invariances-uncertainty/)** *(2023 · 433 citations)* The paper addresses how far the answers of large language models can be trusted in free-form text generation, particularly in question-answering systems.
2. **[Competitive Programming with Large Reasoning Models](https://md.research.elamur.ai/free/en/papers/el-kishky-2025-competitive-programming-large-reasoning-models/)** *(2025 · 68 citations)* This OpenAI report asks whether LLM performance in competitive programming improves more from hand-built, task-specific inference pipelines or from scaling general reinforcement learning.

## Co-authors here

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

- [Alexander Wei](https://md.research.elamur.ai/free/en/authors/alexander-wei/)
- [Daniel Selsam](https://md.research.elamur.ai/free/en/authors/daniel-selsam/)
- [David Dohan](https://md.research.elamur.ai/free/en/authors/david-dohan/)
- [Francis Song](https://md.research.elamur.ai/free/en/authors/francis-song/)
- [Hunter Lightman](https://md.research.elamur.ai/free/en/authors/hunter-lightman/)
- [Jakub Pachocki](https://md.research.elamur.ai/free/en/authors/jakub-pachocki/)
- [Jerry Tworek](https://md.research.elamur.ai/free/en/authors/jerry-tworek/)
- [Sebastian Farquhar](https://md.research.elamur.ai/free/en/authors/sebastian-farquhar/)
- [Yarin Gal](https://md.research.elamur.ai/free/en/authors/yarin-gal/)

## Cited by

Papers of our library cite their works 1,758 times (of the 149,439 papers whose bibliographies we read); [493 citing papers with a page here →](https://md.research.elamur.ai/free/en/authors/lorenz-kuhn/cited-by/).

Updated 2 November 2026
