KI 2025: Advances in Artificial Intelligence

.- Full Technical Papers.

.- Augmenting Systematic Literature Reviews: A Human-AI Collaborative
Framework.

.- Balanced Reciprocity for Data Sharing - Axiomatization and
Mechanism Design.

.- Toward Short and Robust Contrastive Explanations for Image
Classification by Leveraging Instance Similarity and Concept Relevance.

.- Intermediate-Task Transfer Learning for Bioacoustic Data.

.- On the Domain Robustness of Contrastive Vision-Language Models.

.- Numbers Don't Lie: Hybrid Extraction and Validation of Quantitative
Statements in Arguments with Semi-Structured Information.

.- A Hybrid Constraint-Based, Greedy, and Local Search Approach for
the Transshipment Problem.

.- Re-examining learning linear functions in context.

.- ODExAI: A Comprehensive Object Detection Explainable AI Evaluation.

.- Enhancing Semi-Supervised Learning with a Meta-Feature Based
Safeguard System.

.- Ca¨ıssa AI: A Neuro-Symbolic Chess Agent for Explainable Move
Suggestion and Grounded Commentary.

.- Unsupervised Selection of Features by their Resilience to the Curse of
Dimensionality.

.- Development of Hybrid Artificial Intelligence Training on Real and
Synthetic Data.

.- Towards Systematic Evaluation of Computer Vision Models under Data
Anonymization.

.- Accessible Language Simplification: Large Language Models for
Generating Easy German.

.- Technical Communications.

.- Learn, Optimize, Explain: A Neuro-Symbolic Advisor for Personal Finance.

.- Deep learning emulators for large-scale, high-resolution urban pluvial
flood prediction.

.- Towards Observing the Effect of Abstraction on Understandability of
Explanations in Answer Set Programming.

.- XAIRob - An Explainable-AI-Based Relative Robustness Measure for
Object Detection.

.- LLMs for Easy Language Translation: A Case Study on German Public
Authorities Web Pages.

.- Re-Evaluating the Robustness and Interpretability of the Contrastive
Explanations Method for Image Classification.

.- Visualizing and Interpreting Neural Network Focus Regions: A
Comparative Study of Vision Transformers on Synthetic and Real Data.

.- Comparing the visual quality of deep generative models for steel
microstructures.

.- Extended Abstracts.

.- Makrut Attacks Against Black-Box Explanations.

.- Positional Overload: Positional Debiasing and Context Window
Extension for Large Language Models using Set Encoding.

.- Exploiting Contexts of LLM-based Code-Completion.

.- The origins of AI research in the Federal Republic of Germany.

.- Probabilities of the Third Type: Statistical Relational Learning and
Reasoning with Relative Frequencies.