MUCnoHARM@GermEval Shared Task 2026: Retrieval-based In-Context Learning for Defamatory Offences, and Where It Falls Short

N\"urnberg NLP @ GermEval Shared Task 2026: Harmful Content Detection in German Social Media through Error-Independent LLM Voters

The GermEval 2026 shared task scores its detection in four subtasks in a per-subtask nine-voter ensemble spanning three orthogonal axes: LLM, training method and class scope, placing first on all four subtasks.

Flauschgummi at GermEval 2025 Shared Task on Candy Speech Detection: Sentiment Analysis and Classification of Online Comments

This work examines the effectiveness of stacking traditional machine learning techniques like Logistic Regression, k-Nearest Neighbors, Random Forest, Multi-Layer Perceptron, Support Vector Classifier and simple word counting and compares them to BERT, a powerful pre-trained language model.

ArguMind at Touché: A Unified Multi-Task Transformer Approach for Fallacy and Argument Scheme Classification

Structural Jailbreaks Generalize but Do Not Compound: A cross-provider and multilingual study of Involuntary In-Context Learning

Aligned language models fail under two independent pressures: the structural jailbreak class recently formalized as Involuntary In-Context Learning (IICL), which reframes a harmful request as the final missing cell of a data-labeling task completed by pattern rather than judged as content; and the erosion of safety ali...

SINAI at HISEMOTIONS in IberLEF 2026: Three-Phase Fine-Tuning of a Domain-Adaptive BERT for Historical Emotion Detection

Layer Freezing and Cost-Sensitive Learning for English Historical Relation Classification