Expertini Research Research

Browse Research Papers

6,011+ open-access research outputs.

✕ Clear
🔍 germany) 📄 Preprint
Showing 6011 results for "germany)" · Preprint
AI & Data Science Preprint PDF DOI

Repetition over Diversity: High-Signal Data Filtering for Sample-Efficient German Language Modeling

Ansar Aynetdinov, Patrick Haller, Alan Akbik · 2026

Recent research has shown that filtering massive English web corpora into high-quality subsets significantly improves training efficiency. However, for high-resource non-English languages like German,…

Read Paper →
Economics & Finance Preprint PDF DOI

Optimal Consumption and Investment with Energy-Efficiency Adoption

Anthony Britto, Carlos Oliveira, Max Kleinebrahm · 2026

Despite many decades of research, economically grounded models that analyse energy consumption and energy-efficiency adoption within a unified framework remain underdeveloped. This article addresses t…

Read Paper →
AI & Data Science Preprint PDF DOI

Beyond Semantics: Measuring Fine-Grained Emotion Preservation in Small Language Model-Based Machine Translation

Dawid Wisniewski, Igor Czudy · 2026

Preserving affective nuance remains a challenge in Machine Translation (MT), where semantic equivalence often takes precedence over emotional fidelity. This paper evaluates the performance of three st…

Read Paper →
Economics & Finance Preprint PDF DOI

Data-Driven Stochastic Optimal Control for Intraday Electricity Trading by Renewable Producers

Chiheb Ben Hammouda, Michael Samet, Raul Tempone · 2026

The rapid growth of weather-dependent renewable generation increases price volatility and imbalance penalty risk in power markets, creating the need for advanced quantitative trading strategies. We de…

Read Paper →
AI & Data Science Preprint PDF DOI

Towards Generalizable Mapping of Hedges and Linear Woody Features from Earth Observation Data: a national Product for Germany

Thorsten Hoeser, Verena Huber-Garcia, Sarah Asam, Ursula Gessner, Claudia Kuenzer · 2026

Hedges and other linear woody features provide valuable ecosystem services, particularly within intensively managed agricultural landscapes. They are key elements for climate adaptation and biodiversi…

Read Paper →
AI & Data Science Preprint PDF DOI

When Roles Fail: Epistemic Constraints on Advocate Role Fidelity in LLM-Based Political Statement Analysis

Juergen Dietrich · 2026

Democratic discourse analysis systems increasingly rely on multi-agent LLM pipelines in which distinct evaluator models are assigned adversarial roles to generate structured, multi-perspective assessm…

Read Paper →
AI & Data Science Preprint PDF DOI

Selective Augmentation: Improving Universal Automatic Phonetic Transcription via G2P Bootstrapping

Tobias Bystrich, Julia M. Pritzen, Christoph A. Schmidt, Claudia Wich-Reif · 2026

In the field of universal automatic phonetic transcription (APT), clean and diverse training transcriptions are required. However, such high-quality data is limited. We propose the bootstrapping appro…

Read Paper →
AI & Data Science Preprint PDF DOI

Cross-Lingual Response Consistency in Large Language Models: An ILR-Informed Evaluation of Claude Across Six Languages

Camelia Baluta · 2026

This paper introduces a systematic evaluation framework grounded in the Interagency Language Roundtable (ILR) Skill Level Descriptions and applies it to Claude (Sonnet 4.6) across six languages: Engli…

Read Paper →
AI & Data Science Preprint PDF DOI

Zero-Shot to Full-Resource: Cross-lingual Transfer Strategies for Aspect-Based Sentiment Analysis

Jakob Fehle, Nils Constantin Hellwig, Udo Kruschwitz, Christian Wolff · 2026

Aspect-based Sentiment Analysis (ABSA) extracts fine-grained opinions toward specific aspects within text but remains largely English-focused despite major advances in transformer-based and instructio…

Read Paper →
Physics Preprint PDF DOI

Model-free interpretation of X-ray Thomson scattering measurements

Thomas Gawne, Jan Vorberger, Zhandos Moldabekov, Hannah Bellenbaum, Tobias Dornheim · 2026

X-ray Thomson scattering (XRTS) has emerged as a widely used diagnostics for extreme states of matter in a great variety of situations, and over a broad range of parameters. The standard approach for …

Read Paper →
AI & Data Science Preprint PDF DOI

Backtranslation Augmented Direct Preference Optimization for Neural Machine Translation

Mehrdad Ghassabi, Spehr Rajabi, Hamidreza Baradaran Kashani, Sadra Hakim, Mahshid Keivandarian · 2026

Contemporary neural machine translation (NMT) systems are almost exclusively built by training on supervised parallel data. Despite the tremendous progress achieved, these systems still exhibit persis…

Read Paper →
Computer Science Preprint PDF DOI

Economical and ecological impact of sector coupling applied to computing clusters

P. Bechtle, O. Freyermuth, M. Geffers, M. Giffels, M. Hubner, F. Kirfel, J. Kreutz, S. Krieg, S. Matberg, M. Schnepf · 2026

The rising share of abundant renewable energy inevitably increases volatility in the electricity production. The concept of sector coupling means that the volatility of electricity production to a lar…

Read Paper →
AI & Data Science Preprint PDF DOI

From Chatbots to Confidants: A Cross-Cultural Study of LLM Adoption for Emotional Support

Natalia Amat-Lefort, Mert Yazan, Amanda Cercas Curry, Flor Miriam Plaza-del-Arco · 2026

Large Language Models (LLMs) are increasingly used not only for instrumental tasks, but as always-available and non-judgmental confidants for emotional support. Yet what drives adoption and how users …

Read Paper →
Computer Science Preprint PDF DOI

Visual Boosting Techniques for Spatiotemporal Dense Pixel Visualizations

Julius Rauscher, Frederik L. Dennig, Udo Schlegel, Daniel A. Keim, Tobias Schreck · 2026

The analysis of spatiotemporal data is essential in domains such as epidemiology and environmental monitoring, where understanding the interplay between spatially distributed phenomena and their tempo…

Read Paper →
AI & Data Science Preprint PDF DOI

BIMStruct3D: A Fully Automated Hybrid Learning Scan-to-BIM Pipeline with Integrated Topology Refinement

Mahdi Chamseddine, Fabian Kaufmann, Marius Schellen, Christian Glock, Didier Stricker, Jason Rambach · 2026

Automatic generation of Building Information Models (BIM) from building scans is a key challenge in architecture and construction. We present a modular pipeline for generating IFC-compliant BIM from 3…

Read Paper →
AI & Data Science Preprint PDF DOI

Time-Series Forecasting in Safety-Critical Environments: An EU-AI-Act-Compliant Open-Source Package / Zeitreihenprognose in sicherheitskritischen Umgebungen: Ein KI-VO-konformes Open-Source-Paket

Thomas Bartz-Beielstein, Eva Bartz · 2026

With spotforecast2-safe we present an integrated Compliance-by-Design approach to Python-based point forecasting of time series in safety-critical environments. A review of the relevant open-source to…

Read Paper →
AI & Data Science Preprint PDF DOI

Resource-Lean Lexicon Induction for German Dialects

Robert Litschko, Barbara Plank, Diego Frassinelli · 2026

Automatic induction of high-quality dictionaries is essential for building lexical resources, yet low-resource languages and dialects pose several challenges: limited access to annotators, high degree…

Read Paper →
AI & Data Science Preprint PDF DOI

Learning to Decipher from Pixels -- A Case Study of Copiale

Lei Kang, Giuseppe De Gregorio, Raphaela Heil, Alicia Fornes, Beata Megyesi · 2026

Historical encrypted manuscripts require both paleographic interpretation of cipher symbols and cryptanalytic recovery of plaintext. Most existing computational workflows rely on a transcription-first…

Read Paper →
AI & Data Science Preprint PDF DOI

Neural Grammatical Error Correction for Romanian

Teodor-Mihai Cotet, Stefan Ruseti, Mihai Dascalu · 2026

Resources for Grammatical Error Correction (GEC) in non-English languages are scarce, while available spellcheckers in these languages are mostly limited to simple corrections and rules. In this paper…

Read Paper →
AI & Data Science Preprint PDF DOI

Anatomy-Aware Unsupervised Detection and Localization of Retinal Abnormalities in Optical Coherence Tomography

Tania Haghighi, Sina Gholami, Hamed Tabkhi, Minhaj Nur Alam · 2026

Reliable automated analysis of Optical Coherence Tomography (OCT) imaging is crucial for diagnosing retinal disorders but faces a critical barrier: the need for expensive, labor-intensive expert annot…

Read Paper →
Page 1 of 301 Next →