---
title: "Rhine-Ruhr — works of 2026: 31 papers, the most cited first"
description: "31 works of Rhine-Ruhr from 2026 in our library, the most cited first. Among them: Fact Finder - Enhancing Domain Expertise of Large…"
canonical: "https://research.elamur.ai/free/en/agglomerations/rhine-ruhr/year/2026/"
---
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# Works of Rhine-Ruhr from 2026

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

1. **[Fact Finder - Enhancing Domain Expertise of Large Language Models by Incorporating Knowledge Graphs](https://md.research.elamur.ai/free/en/papers/steinigen-2026-fact-finder-enhancing-domain-expertise/) [Conference of the European Chapter of the Association for Computational Linguistics (EACL)](https://md.research.elamur.ai/free/en/venues/eacl/)**Daniel Steinigen, Roman Teucher, Timm Heine Ruland, et al.*2026 · 4 citations*
2. [**A Sovereign, Open-Source Foundation Model for German and English arXiv:2607.09424**Soofi-Team: Benedikt Droste, David Fitzek, Ruben Harle, et al.*2026 · 2 citations*](https://md.research.elamur.ai/free/en/papers/droste-2026-sovereign-open-source-foundation-model/)
3. **[promptolution: A Unified, Modular Framework for Prompt Optimization](https://md.research.elamur.ai/free/en/papers/zehle-2026-promptolution-unified-modular-framework-prompt/) [Conference of the European Chapter of the Association for Computational Linguistics (EACL)](https://md.research.elamur.ai/free/en/venues/eacl/)**Tom Zehle, Timo Heiß, Moritz Schlager, et al.*2026 · 2 citations*
4. [**Domain-Adaptation through Synthetic Data: Fine-Tuning Large Language Models for German Law arXiv:2601.14160**Ali Hamza Bashir, Muhammad Rehan Khalid, Kostadin Cvejoski, et al.*2026 · 1 citation*](https://md.research.elamur.ai/free/en/papers/bashir-2026-domain-adaptation-through-synthetic-data/)
5. **[HHU-SyLo at SemEval-2026 Task 11: Logic in the Loop – Hybridizing LLMs and Theorem Provers for Robust Formal Reasoning](https://md.research.elamur.ai/free/en/papers/petersen-2026-hhu-sylo-semeval-2026-task/) [International Workshop on Semantic Evaluation (SemEval)](https://md.research.elamur.ai/free/en/venues/semeval/)**Wiebke Petersen, Cherine Jaziri, Diem Tran*2026 · 1 citation*
6. [**KletterMix: Climbing Toward High-Quality German Pretraining Data - The Full Report arXiv:2606.03773**Maurice Kraus, Ruben Harle, Sebastian Sztwiertnia, et al.*2026 · 1 citation*](https://md.research.elamur.ai/free/en/papers/kraus-2026-klettermix-climbing-toward-high-quality/)
7. **[Label-Consistent Data Generation for Aspect-Based Sentiment Analysis Using LLM Agents](https://md.research.elamur.ai/free/en/papers/monfared-2026-label-consistent-data-generation-aspect/) [Workshop on Computational Approaches to Subjectivity, Sentiment and Social Media Analysis](https://md.research.elamur.ai/free/en/venues/wassa/)**Mohammad Hossein Akbari Monfared, Lucie Flek, Akbar Karimi*2026 · 1 citation*
8. **[ParsTranslit: Truly Versatile Tajik-Farsi Transliteration](https://md.research.elamur.ai/free/en/papers/merchant-2026-parstranslit-truly-versatile-tajik-farsi/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Rayyan Merchant, Kevin Tang*2026 · 1 citation*
9. **[Spinfo Cologne at SemEval-2026 Task 4: Explainable Creation of Narrativity Embeddings](https://md.research.elamur.ai/free/en/papers/pagel-2026-spinfo-cologne-semeval-2026-task/) [International Workshop on Semantic Evaluation (SemEval)](https://md.research.elamur.ai/free/en/venues/semeval/)**Janis Pagel, Nils Reiter*2026 · 1 citation*
10. **[A Novel Dataset and Three Ways to Approach Automatic Metaphor Detection in German Religious Online Forums](https://md.research.elamur.ai/free/en/papers/reimann-2026-novel-dataset-three-ways-approach/) [Learning Non-Literal Expressions with Small Data @ LREC](https://md.research.elamur.ai/free/en/venues/nonliteral/)**Sebastian Reimann, Tatjana Scheffler*2026*
11. [**A Sociolinguistic Analysis of Automatic Speech Recognition Bias in Newcastle English arXiv:2603.24549**Dana Serditova, Kevin Tang*2026*](https://md.research.elamur.ai/free/en/papers/serditova-2026-sociolinguistic-analysis-automatic-speech-recognition/)
12. **[Character-aware Transformers Learn an Irregular Morphological Pattern Yet None Generalize Like Humans](https://md.research.elamur.ai/free/en/papers/ramarao-2026-character-aware-transformers-learn-irregular/) [Workshop on Cognitive Modeling and Computational Linguistics (CMCL)](https://md.research.elamur.ai/free/en/venues/cmcl/)**Akhilesh Kakolu Ramarao, Kevin Tang, Dinah Baer-Henney*2026*
13. [**CoBra: A Compound Branching Resource for Nominal Triconstituent Compounds in English and German**Carmen Schacht, Isabell Landwehr, Diana Davidson, et al.*2026*](https://md.research.elamur.ai/free/en/papers/schacht-2026-cobra-compound-branching-resource-nominal/)
14. **[CoordiMap: Conceptual Proposition of a new Framework for the Annotation of Verbal Elicitation Paths on Visual Experiment Stimuli and Introduction of the Associated Annotation Tool](https://md.research.elamur.ai/free/en/papers/schacht-2026-coordimap-conceptual-proposition-new-framework/) [fo the International Workshop on Eye-Tracking Resources and Evaluation for Human-Aligned NLP](https://md.research.elamur.ai/free/en/venues/gaze4nlp/)**Carmen Schacht*2026*
15. **[CrossDDI: Cross-Source Evidence-Grounded Drug-Drug Interaction Verification](https://md.research.elamur.ai/free/en/papers/wang-2026-crossddi-cross-source-evidence-grounded/) [BioNLP](https://md.research.elamur.ai/free/en/venues/bionlp/)**Hui Wang, Bohao Chu, Norbert Fuhr*2026*
16. **[Disentangling Ambiguity from Instability in Large Language Models: A Clinical Text-to-SQL Case Study](https://md.research.elamur.ai/free/en/papers/ziletti-2026-disentangling-ambiguity-instability-large-language/) [Workshop on Clinical Natural Language Processing (Clinical NLP) @ LREC](https://md.research.elamur.ai/free/en/venues/clinicalnlp/)**Angelo Ziletti, Leonardo D'Ambrosi*2026*
17. **[Fast and Flexible Example-Based Treebank Search with Vector Symbolic Architectures](https://md.research.elamur.ai/free/en/papers/roussel-2026-fast-flexible-example-based-treebank/) [Workshop on Structured Linguistic Data and Evaluation (SLiDE)](https://md.research.elamur.ai/free/en/venues/slide/)**Adam Roussel*2026*
18. **[From Emotion to Expression: Theoretical Foundations and Resources for Fear Speech](https://md.research.elamur.ai/free/en/papers/shankaran-2026-emotion-expression-theoretical-foundations-resources/) [Conference of the European Chapter of the Association for Computational Linguistics (EACL)](https://md.research.elamur.ai/free/en/venues/eacl/)**Vigneshwaran Shankaran, Gabriella Lapesa, Claudia Wagner*2026*
19. **[HAnnoI: A Handwriting Annotation Interface to Extract Data for Linguistic Analyses of Graphetic Detail](https://md.research.elamur.ai/free/en/papers/wieler-2026-hannoi-handwriting-annotation-interface-extract/) [Workshop on Computation and Written Language @ LREC](https://md.research.elamur.ai/free/en/venues/cawl/)**Joshua Wieler, Simon Petitjean, Kristian Berg, et al.*2026*
20. **[Harder than Finding the Lost Sheep? Towards Automatically Suggesting Deliberate Metaphor Annotations in German Sermons](https://md.research.elamur.ai/free/en/papers/quante-2026-harder-than-finding-lost-sheep/) [Workshop on Computational Linguistics for Cultural Heritage, Social Sciences, Humanities and Literature (LaTeCH-CLfL)](https://md.research.elamur.ai/free/en/venues/latechclfl/)**Ronja Laarmann-Quante, Stefanie Dipper*2026*
21. **[HarfoSokhan: A Comprehensive Parallel Dataset for Transitions between Persian Colloquial and Formal Variations](https://md.research.elamur.ai/free/en/papers/sarvestani-2026-harfosokhan-comprehensive-parallel-dataset-transitions/) [Conference of the European Chapter of the Association for Computational Linguistics (EACL)](https://md.research.elamur.ai/free/en/venues/eacl/)**Hamid Jahad Sarvestani, Vida Ramezanian, Saee Saadat, et al.*2026*
22. [**Layer-wise Probing of wav2vec 2.0 and Whisper for Consonant Cluster Reduction in African American English arXiv:2606.23948**Hamid Mojarad, Kevin Tang*2026*](https://md.research.elamur.ai/free/en/papers/mojarad-2026-layer-wise-probing-wav2vec-2/)
23. **[Linguistically-Informed Evaluation of LLMs on Acceptability Judgments in a Forced-Choice Paradigm](https://md.research.elamur.ai/free/en/papers/liu-2026-linguistically-informed-evaluation-llms-acceptability/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Ziyue Liu, Nils Reiter*2026*
24. **[MONETA: Multimodal Industry Classification through Geographic Information with Multi Agent Systems](https://md.research.elamur.ai/free/en/papers/yuksel-2026-moneta-multimodal-industry-classification-through/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Arda Yüksel, Gabriel Thiem, Susanne Walter, et al.*2026*
25. **[On the source of distributive inferences](https://md.research.elamur.ai/free/en/papers/marty-2026-source-distributive-inferences/) [Semantics and Pragmatics](https://md.research.elamur.ai/free/en/venues/semantics-and-pragmatics/)**Paul Marty, Sonia Ramotowska, Richard Breheny, et al.*2026*
26. **[SGT: Securing Open-Source LLMs Against Malicious Fine-tuning via Safety Guidance Trigger](https://md.research.elamur.ai/free/en/papers/shin-2026-sgt-securing-open-source-llms/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Sunguk Shin, Fangzhao Wu, Byung-Jun Lee, et al.*2026*
27. **[Studying Expert-ese: Profiling and Classification of Domain-Specific Language Variation in Architecture with Traditional Machine Learning and LLMs](https://md.research.elamur.ai/free/en/papers/schacht-2026-studying-expert-ese-profiling-classification/) [Workshop on Computational Linguistics for Cultural Heritage, Social Sciences, Humanities and Literature (LaTeCH-CLfL)](https://md.research.elamur.ai/free/en/venues/latechclfl/)**Carmen Schacht, Renate Delucchi Danhier*2026*
28. **[Text-to-SQL Task-oriented Dialogue Ontology Construction](https://md.research.elamur.ai/free/en/papers/vukovic-2026-text-sql-task-oriented-dialogue/) [Transactions of the Association for Computational Linguistics (TACL)](https://md.research.elamur.ai/free/en/venues/tacl/)**Renato Vukovic, Carel van Niekerk, Michael Heck, et al.*2026*
29. **[The Conundrum of Trustworthy Research on Attacking Personally Identifiable Information Removal Techniques](https://md.research.elamur.ai/free/en/papers/ochs-2026-conundrum-trustworthy-research-attacking-personally/) [Computational Linguistics](https://md.research.elamur.ai/free/en/venues/cl/)**Sebastian Ochs, Ivan Habernal*2026*
30. **[The Relevance of Value Systems for Offensive Language Detection](https://md.research.elamur.ai/free/en/papers/wiegand-2026-relevance-value-systems-offensive-language/) [Conference of the European Chapter of the Association for Computational Linguistics (EACL)](https://md.research.elamur.ai/free/en/venues/eacl/)**Michael Wiegand, Elisabeth Eder, Josef Ruppenhofer*2026*
31. **[VERICITE: Evaluating Sentence-Level Citation Faithfulness in Retrieval-Augmented Medical Question Answering](https://md.research.elamur.ai/free/en/papers/ma-2026-vericite-evaluating-sentence-level-citation/) [BioNLP](https://md.research.elamur.ai/free/en/venues/bionlp/)**Yixian Ma, Bohao Chu, Norbert Fuhr*2026*
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