9 papers
Nürnberg NLP at ChildSafeAds 2026: Structurally Dissimilar Voter Ensembles under Four Levels of Data Access
Philipp Steigerwald, Eric Rudolph, Jens Albrecht
We describe the Nürnberg NLP system for ChildSafeAds 2026. The shared task asks what a monitoring system for commercial content in child-facing YouTube videos can achieve at a give…
Nürnberg NLP @ GermEval Shared Task 2026: Harmful Content Detection in German Social Media through Error-Independent LLM Voters
Philipp Steigerwald, Eric Rudolph, Jens Albrecht
Harmful content in German social media does real-world damage, from calls to action to criminal defamation. The GermEval 2026 shared task scores its detection in four subtasks. The…
GEMCo: A Validated, Ethically Releasable Proxy for Inaccessible Counselling Data
Philipp Steigerwald, Eric Rudolph, Mara Stieler +3
This paper presents GEMCo, a releasable, human-written proxy for inaccessible counselling data: 86 complete German e-mail counselling conversations (728 messages), expert-authored…
LLARS: Enabling Domain Expert & Developer Collaboration for LLM Prompting, Generation and Evaluation
Philipp Steigerwald, Mara Stieler, Jennifer Burghardt +2
We demonstrate LLARS (LLM Assisted Research System), an open-source platform that bridges the gap between domain experts and developers for building LLM-based systems. It integrate…
Nürnberg NLP at PsyDefDetect: Multi-Axis Voter Ensembles for Psychological Defence Mechanism Classification
Philipp Steigerwald, Eric Rudolph, Jens Albrecht
Detecting levels of psychological defence mechanisms in supportive conversations is inherently ambiguous. In the PsyDefDetect shared task at BioNLP 2026 the eight positive defence…
Transition-Matrix Regularization for Next Dialogue Act Prediction in Counselling Conversations
Eric Rudolph, Philipp Steigerwald, Jens Albrecht
This paper studies how empirical dialogue-flow statistics can be incorporated into Next Dialogue Act Prediction (NDAP). A KL regularization term is proposed that aligns predicted a…
Evaluating Role-Consistency in LLMs for Counselor Training
Eric Rudolph, Natalie Engert, Jens Albrecht
The rise of online counseling services has highlighted the need for effective training methods for future counselors. This paper extends research on VirCo, a Virtual Client for Onl…
AI Systems in Text-Based Online Counselling: Ethical Considerations Across Three Implementation Approaches
Philipp Steigerwald, Jennifer Burghardt, Eric Rudolph +1
Text-based online counselling scales across geographical and stigma barriers, yet faces practitioner shortages, lacks non-verbal cues and suffers inconsistent quality assurance. Wh…
OnCoCo 1.0: A Public Dataset for Fine-Grained Message Classification in Online Counseling Conversations
Jens Albrecht, Robert Lehmann, Aleksandra Poltermann +3
This paper presents OnCoCo 1.0, a new public dataset for fine-grained message classification in online counseling. It is based on a new, integrative system of categories, designed…