---
title: "Peter Schneider-Kamp — author profile and papers in our library"
description: "Peter Schneider-Kamp: 2 papers on Elamur Research (2026) — affiliations, topics, co-authors and who cites them in our library."
canonical: "https://research.elamur.ai/free/en/authors/peter-schneider-kamp/"
---
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# Peter Schneider-Kamp

Peter Schneider-Kamp has 2 papers in our library, in 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/); often with [Lukas Galke Poech](https://md.research.elamur.ai/free/en/authors/lukas-galke-poech/).

2 papers in our library · 2026

No OpenAlex profile matched yet.

[📄 2 works in our library](https://md.research.elamur.ai/free/en/authors/peter-schneider-kamp/#papers) · 🔗 Cited 1 time in our library · [⭐ Paper Stars ranking: #11648](https://md.research.elamur.ai/free/en/paper-stars/page/117/#star-11648)

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=Peter+Schneider-Kamp) · [Semantic Scholar](https://www.semanticscholar.org/search?q=Peter+Schneider-Kamp) · [dblp](https://dblp.org/search?q=Peter+Schneider-Kamp) · [ACL Anthology](https://aclanthology.org/search/?q=Peter+Schneider-Kamp)

## 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).[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/) · [Computer Vision and Pattern Recognition · 1 work](https://md.research.elamur.ai/free/en/shelves/computer-science/computer-vision-and-pattern-recognition/)

🧭 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/) · [Evaluation & benchmarks · 1 work](https://md.research.elamur.ai/free/en/topics/evaluation-benchmarks/)

## Works by year

### 2020s

[**2026** 2 papers](https://md.research.elamur.ai/free/en/authors/peter-schneider-kamp/year/2026/)

## Papers

The most cited first (OpenAlex and our library).

1. **[Training Language Models to Use Prolog as a Tool](https://md.research.elamur.ai/free/en/papers/mellgren-2026-training-language-models-use-prolog/)** *(2026 · 1 citation)* Language models often produce reasoning that sounds convincing but is wrong and hard to check. The authors investigate whether a small model can learn, through reinforcement learning, to offload reasoning to Prolog, whose logical derivations are explicit and inspectable. They fine-tune Qwen2.5-3B-Instruct with GRPO…
2. **[SDUs DAISY: A Benchmark for Danish Culture](https://md.research.elamur.ai/free/en/papers/nielsen-2026-sdus-daisy-benchmark-danish-culture/)** *(2026)* Large language models are rarely tested on what they know about smaller national cultures, and until this work Danish had no standard benchmark for cultural heritage.

## Co-authors here

1 co-author with a page, the most papers together first.

- [Lukas Galke Poech](https://md.research.elamur.ai/free/en/authors/lukas-galke-poech/) ×2

## Venues

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

- [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/): [Findings of the Association for Computational Linguistics 2026](https://md.research.elamur.ai/free/en/venues/findings/2026/)

## Cited by

Papers of our library cite their works 1 time (of the 149,439 papers whose bibliographies we read).

Updated 31 October 2026
