---
title: "Aarhus University — works of 2026: 4 papers, the most cited first"
description: "4 works of Aarhus University from 2026 in our library, the most cited first. Among them: Analysing Differences in Persuasive Language in…"
canonical: "https://research.elamur.ai/free/en/universities/aarhus-university/year/2026/"
---
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# Works of Aarhus University from 2026

4 works · the most cited first · [← Aarhus University](https://md.research.elamur.ai/free/en/universities/aarhus-university/)

1. **[Analysing Differences in Persuasive Language in LLM-Generated Text: Uncovering Stereotypical Gender Patterns](https://md.research.elamur.ai/free/en/papers/pauli-2026-analysing-differences-persuasive-language-llm/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Amalie Brogaard Pauli, Maria Barrett, Max Müller-Eberstein, et al.*2026*
2. **[Is Sentiment Banana-Shaped? Exploring the Geometry and Portability of Sentiment Concept Vectors](https://md.research.elamur.ai/free/en/papers/lyngbaek-2026-is-sentiment-banana-shaped-exploring/) [Workshop on Computational Approaches to Subjectivity, Sentiment and Social Media Analysis](https://md.research.elamur.ai/free/en/venues/wassa/)**Laurits Lyngbaek, Pascale Feldkamp, Yuri Bizzoni, et al.*2026*
3. **[MAQuA: Multi-outcome Adaptive Question-Asking for Mental Health using Item Response Theory](https://md.research.elamur.ai/free/en/papers/varadarajan-2026-maqua-multi-outcome-adaptive-question/) [Conference of the European Chapter of the Association for Computational Linguistics (EACL)](https://md.research.elamur.ai/free/en/venues/eacl/)**Vasudha Varadarajan, Hui Xu, Rebecca Astrid Böhme, et al.*2026*
4. **[Modeling semantic association in self-paced reading with language model embeddings](https://md.research.elamur.ai/free/en/papers/ostergaard-2026-modeling-semantic-association-self-paced/) [Workshop on Cognitive Modeling and Computational Linguistics (CMCL)](https://md.research.elamur.ai/free/en/venues/cmcl/)**Sara Møller Østergaard, Kenneth Enevoldsen, Afra Alishahi, et al.*2026*
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