---
title: "TUM Klinikum — works of 2026: 2 papers, the most cited first"
description: "2 works of TUM Klinikum from 2026 in our library, the most cited first. Among them: Fine-tuning Large Language Models with Limited Data: A…"
canonical: "https://research.elamur.ai/free/en/hospitals/tum-klinikum/year/2026/"
---
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# Works of TUM Klinikum from 2026

2 works · the most cited first · [← TUM Klinikum](https://md.research.elamur.ai/free/en/hospitals/tum-klinikum/)

1. **[Fine-tuning Large Language Models with Limited Data: A Survey and Practical Guide](https://md.research.elamur.ai/free/en/papers/szep-2026-fine-tuning-large-language-models/) [Transactions of the Association for Computational Linguistics (TACL)](https://md.research.elamur.ai/free/en/venues/tacl/)**Marton Szep, Daniel Rueckert, Rüdiger von Eisenhart-Rothe, et al.*2026 · 7 citations*
2. **[Unintended Memorization of Sensitive Information in Fine-Tuned Language Models](https://md.research.elamur.ai/free/en/papers/szep-2026-unintended-memorization-sensitive-information-fine/) [Conference of the European Chapter of the Association for Computational Linguistics (EACL)](https://md.research.elamur.ai/free/en/venues/eacl/)**Marton Szep, Jorge Marin Ruiz, Georgios Kaissis, et al.*2026*
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