---
title: "Rhine-Ruhr — works of 2023: 5 papers, the most cited first"
description: "5 works of Rhine-Ruhr from 2023 in our library, the most cited first. Among them: Factuality Challenges in the Era of Large Language Models…"
canonical: "https://research.elamur.ai/free/en/agglomerations/rhine-ruhr/year/2023/"
---
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# Works of Rhine-Ruhr from 2023

5 works · the most cited first · [← Rhine-Ruhr](https://md.research.elamur.ai/free/en/agglomerations/rhine-ruhr/)

1. **[Factuality Challenges in the Era of Large Language Models](https://md.research.elamur.ai/free/en/papers/augenstein-2023-factuality-challenges-era-large-language/) [Nature Machine Intelligence](https://md.research.elamur.ai/free/en/venues/nature-machine-intelligence/)**Isabelle Augenstein, Timothy Baldwin, Meeyoung Cha, et al.*2023 · 243 citations*
2. [**Towards Ontology Construction with Language Models arXiv:2309.09898**Maurice Funk, Simon Hosemann, Jean Christoph Jung, et al.*2023 · 12 citations*](https://md.research.elamur.ai/free/en/papers/funk-2023-towards-ontology-construction-language-models/)
3. [**Encoding Discourse Structure: Comparison of RST and QUD**Sara Shahmohammadi, Hannah Seemann, Manfred Stede, et al.*2023 · 3 citations*](https://md.research.elamur.ai/free/en/papers/shahmohammadi-2023-encoding-discourse-structure-comparison-rst/)
4. [**Improving Natural Language Inference in Arabic using Transformer Models and Linguistically Informed Pre-Training arXiv:2307.14666**Mohammad Majd Saad Al Deen, Maren Pielka, Jorn Hees, et al.*2023 · 2 citations*](https://md.research.elamur.ai/free/en/papers/deen-2023-improving-natural-language-inference-arabic/)
5. **[Using Masked Language Model Probabilities of Connectives for Stance Detection in English Discourse](https://md.research.elamur.ai/free/en/papers/stodden-2023-masked-language-model-probabilities-connectives/) [Workshop on Argument Mining](https://md.research.elamur.ai/free/en/venues/argmining/)**Regina Stodden, Laura Kallmeyer, Lea Kawaletz, et al.*2023 · 1 citation*
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