KI 2025: 48TH GERMAN CONFERENCE ON ARTIFICIAL INTELLIGENCE

This page contains an index consisting of author-provided keywords.

A
abstraction	Towards Observing the Effect of Abstraction on Understandability of Explanations in Answer Set Programming
AI ethics	Magic wands and digital zombies: some promises and risks of AI for digital legacy
Anonymization	Towards Systematic Evaluation of Computer Vision Models under Data Anonymization
answer set programming	Towards Observing the Effect of Abstraction on Understandability of Explanations in Answer Set Programming
Applications	Tackling Challenges in Critical Infrastructure through Machine Learning
Applications of logic	TBA
Argumentation	Numbers Don't Lie: Hybrid Extraction and Validation of Quantitative Statements in Arguments with Semi-Structured Information
Artificial Intelligence	Development of Hybrid Artificial Intelligence Training on Real and Synthetic Data Augmenting Systematic Literature Reviews in Information Systems: A Human-AI Collaborative Framework KI 2025 - Closing
Artificial intelligence	The origins of AI research in the Federal Republic of Germany TBA KI 2025 - Opening
attention	Visualizing and Interpreting Neural Network Focus Regions: A Comparative Study of Vision Transformers on Synthetic and Real Data
automl	Enhancing Semi-Supervised Learning with a Meta-Feature Based Safeguard System
B
Benchmark	Development of Hybrid Artificial Intelligence Training on Real and Synthetic Data On the Domain Robustness of Contrastive Vision-Language Models
Black-Box Explanations	Makrut Attacks Against Black-Box Explanations
C
Chess Agents	Caïssa AI: A Neuro-Symbolic Chess Agent for Explainable Move Suggestion and Grounded Commentary
Code Models	Exploiting Contexts of LLM-based Code-Completion
cognitive study	Towards Observing the Effect of Abstraction on Understandability of Explanations in Answer Set Programming
Computer Vision	Towards Systematic Evaluation of Computer Vision Models under Data Anonymization
Concept-based Explanation	Toward Short and Robust Contrastive Explanations for Image Classification by Leveraging Instance Similarity and Concept Relevance
Conference closing	KI 2025 - Closing
Constraint Satisfaction and Optimization	A Hybrid Constraint-Based, Greedy, and Local Search Approach for the Transshipment Problem
Contrastive Explanation	Toward Short and Robust Contrastive Explanations for Image Classification by Leveraging Instance Similarity and Concept Relevance
Contrastive Explanation Method	Re-Evaluating the Robustness and Interpretability of the Contrastive Explanation Method for Image Classification
Cooperative Game Theory	Balanced Reciprocity for Data Sharing - Axiomatization and Mechanism Design
D
DAAD	International Research Stays for Computer Scientists
Data Poisoning	Exploiting Contexts of LLM-based Code-Completion
Data-driven emulators	Deep learning emulators for large-scale, high-resolution urban pluvial flood prediction
Decision Support Systems	Learn, Optimize, Explain: A Neuro-Symbolic Advisor for Personal Finance
Deep Learning	Deep learning emulators for large-scale, high-resolution urban pluvial flood prediction
Digital legacy	Magic wands and digital zombies: some promises and risks of AI for digital legacy
Domain Gap	Development of Hybrid Artificial Intelligence Training on Real and Synthetic Data Visualizing and Interpreting Neural Network Focus Regions: A Comparative Study of Vision Transformers on Synthetic and Real Data
Domain Shift	On the Domain Robustness of Contrastive Vision-Language Models
E
Easy Language	LLMs for Easy Language Translation: A Case Study on German Public Authorities Web Pages
Evaluation framework	ODExAI: A Comprehensive Object Detection Explainable AI Evaluation
Expert Study	Comparing the visual quality of deep generative models for steel microstructures
Explainability	Tackling Challenges in Critical Infrastructure through Machine Learning
explainable AI	ODExAI: A Comprehensive Object Detection Explainable AI Evaluation Visualizing and Interpreting Neural Network Focus Regions: A Comparative Study of Vision Transformers on Synthetic and Real Data
Explainable Artificial Intelligence	Toward Short and Robust Contrastive Explanations for Image Classification by Leveraging Instance Similarity and Concept Relevance Re-Evaluating the Robustness and Interpretability of the Contrastive Explanation Method for Image Classification
Explainable Reasoning	Caïssa AI: A Neuro-Symbolic Chess Agent for Explainable Move Suggestion and Grounded Commentary
Explanation Complexity	Toward Short and Robust Contrastive Explanations for Image Classification by Leveraging Instance Similarity and Concept Relevance
Explanation Robustness	Toward Short and Robust Contrastive Explanations for Image Classification by Leveraging Instance Similarity and Concept Relevance
explanations	Towards Observing the Effect of Abstraction on Understandability of Explanations in Answer Set Programming
F
Fairness	Balanced Reciprocity for Data Sharing - Axiomatization and Mechanism Design
Feature Selection	Unsupervised Selection of Features by their Resilience to the Curse of Dimensionality
feature visualization	Visualizing and Interpreting Neural Network Focus Regions: A Comparative Study of Vision Transformers on Synthetic and Real Data
Fine-Tuning	Intermediate-Task Transfer Learning for Bioacoustic Data
G
generative AI	Visualizing and Interpreting Neural Network Focus Regions: A Comparative Study of Vision Transformers on Synthetic and Real Data
Generative Artificial Intelligence	Comparing the visual quality of deep generative models for steel microstructures
German conference on artificial intelligence	KI 2025 - Opening
German conference on artificial intelligence	KI 2025 - Closing
Germany	The origins of AI research in the Federal Republic of Germany
Governmental Texts	LLMs for Easy Language Translation: A Case Study on German Public Authorities Web Pages
Graph Learning	Unsupervised Selection of Features by their Resilience to the Curse of Dimensionality
H
History	The origins of AI research in the Federal Republic of Germany
Human-AI Collaboration	Augmenting Systematic Literature Reviews in Information Systems: A Human-AI Collaborative Framework
Hybrid Datasets	Development of Hybrid Artificial Intelligence Training on Real and Synthetic Data
I
Image Classification	Re-Evaluating the Robustness and Interpretability of the Contrastive Explanation Method for Image Classification
Image-to-image regression	Deep learning emulators for large-scale, high-resolution urban pluvial flood prediction
In-context learning	Re-examining learning linear functions in context
International research stays	International Research Stays for Computer Scientists
Interpretability	Re-Evaluating the Robustness and Interpretability of the Contrastive Explanation Method for Image Classification
Intralingual Translation	LLMs for Easy Language Translation: A Case Study on German Public Authorities Web Pages
Intrinsic Dimensionality	Unsupervised Selection of Features by their Resilience to the Curse of Dimensionality
L
Language Models	Accessible Language Simplification: Large Language Models for Generating Easy German
Large Language Models	Augmenting Systematic Literature Reviews in Information Systems: A Human-AI Collaborative Framework Numbers Don't Lie: Hybrid Extraction and Validation of Quantitative Statements in Arguments with Semi-Structured Information Exploiting Contexts of LLM-based Code-Completion
Leichte Sprache	LLMs for Easy Language Translation: A Case Study on German Public Authorities Web Pages
Length Generalization	Positional Overload: Positional Debiasing and Context Window Extension for Large Language Models using Set Encoding
Lifted Bayesian Networks	Probabilities of the Third Type: Statistical Relational Learning and Reasoning with Relative Frequencies (Extended Abstract)
LIME	Makrut Attacks Against Black-Box Explanations
LLM	LLMs for Easy Language Translation: A Case Study on German Public Authorities Web Pages
LLMs	Re-examining learning linear functions in context Positional Overload: Positional Debiasing and Context Window Extension for Large Language Models using Set Encoding
M
machine learning	Enhancing Semi-Supervised Learning with a Meta-Feature Based Safeguard System
Machine Learning	Tackling Challenges in Critical Infrastructure through Machine Learning
Machine Translation	LLMs for Easy Language Translation: A Case Study on German Public Authorities Web Pages
Mechanism Design	Balanced Reciprocity for Data Sharing - Axiomatization and Mechanism Design
meta-features	Enhancing Semi-Supervised Learning with a Meta-Feature Based Safeguard System
Mixed Training	Development of Hybrid Artificial Intelligence Training on Real and Synthetic Data
Model and Data Sharing	Balanced Reciprocity for Data Sharing - Axiomatization and Mechanism Design
Multi-agent systems	TBA
N
Neuro-Symbolic AI	Caïssa AI: A Neuro-Symbolic Chess Agent for Explainable Move Suggestion and Grounded Commentary Learn, Optimize, Explain: A Neuro-Symbolic Advisor for Personal Finance
O
Object Detection	ODExAI: A Comprehensive Object Detection Explainable AI Evaluation Towards Systematic Evaluation of Computer Vision Models under Data Anonymization Visualizing and Interpreting Neural Network Focus Regions: A Comparative Study of Vision Transformers on Synthetic and Real Data XAIRob --- An Explainable-AI-Based Relative Robustness Measure for Object Detection
Opening	KI 2025 - Opening
Optical Microscopy	Comparing the visual quality of deep generative models for steel microstructures
P
Passive Acoustic Monitoring	Intermediate-Task Transfer Learning for Bioacoustic Data
Personal Finance	Learn, Optimize, Explain: A Neuro-Symbolic Advisor for Personal Finance
Plain Language	Accessible Language Simplification: Large Language Models for Generating Easy German
Planning	A Hybrid Constraint-Based, Greedy, and Local Search Approach for the Transshipment Problem
point clouds	XAIRob --- An Explainable-AI-Based Relative Robustness Measure for Object Detection
Positional Debiasing	Positional Overload: Positional Debiasing and Context Window Extension for Large Language Models using Set Encoding
Positional Embeddings	Positional Overload: Positional Debiasing and Context Window Extension for Large Language Models using Set Encoding
Probability Logic	Probabilities of the Third Type: Statistical Relational Learning and Reasoning with Relative Frequencies (Extended Abstract)
Q
Quantitative Statements	Numbers Don't Lie: Hybrid Extraction and Validation of Quantitative Statements in Arguments with Semi-Structured Information
Question Answering	Accessible Language Simplification: Large Language Models for Generating Easy German
R
Research Augmentation	Augmenting Systematic Literature Reviews in Information Systems: A Human-AI Collaborative Framework
Retrieval Augmented Generation	Accessible Language Simplification: Large Language Models for Generating Easy German
Retrieval-Augmented Generation	Numbers Don't Lie: Hybrid Extraction and Validation of Quantitative Statements in Arguments with Semi-Structured Information
Reward Allocation	Balanced Reciprocity for Data Sharing - Axiomatization and Mechanism Design
RGB images	XAIRob --- An Explainable-AI-Based Relative Robustness Measure for Object Detection
Robustness	Re-Evaluating the Robustness and Interpretability of the Contrastive Explanation Method for Image Classification XAIRob --- An Explainable-AI-Based Relative Robustness Measure for Object Detection
Robustness Evaluation	On the Domain Robustness of Contrastive Vision-Language Models
Routing	A Hybrid Constraint-Based, Greedy, and Local Search Approach for the Transshipment Problem
S
Scheduling	A Hybrid Constraint-Based, Greedy, and Local Search Approach for the Transshipment Problem
Scholarships	International Research Stays for Computer Scientists
Search and Optimization	A Hybrid Constraint-Based, Greedy, and Local Search Approach for the Transshipment Problem
Security of XAI	Makrut Attacks Against Black-Box Explanations
semi-supervised learning	Enhancing Semi-Supervised Learning with a Meta-Feature Based Safeguard System
Statistical Relational Learning	Probabilities of the Third Type: Statistical Relational Learning and Reasoning with Relative Frequencies (Extended Abstract)
Steel microstructure	Comparing the visual quality of deep generative models for steel microstructures
Synthetic Data	Development of Hybrid Artificial Intelligence Training on Real and Synthetic Data
Systematic Literature Review	Augmenting Systematic Literature Reviews in Information Systems: A Human-AI Collaborative Framework
T
Text Simplification	LLMs for Easy Language Translation: A Case Study on German Public Authorities Web Pages
Thanabots	Magic wands and digital zombies: some promises and risks of AI for digital legacy
transfer learning	Intermediate-Task Transfer Learning for Bioacoustic Data Visualizing and Interpreting Neural Network Focus Regions: A Comparative Study of Vision Transformers on Synthetic and Real Data
Transformers	Re-examining learning linear functions in context
Transshipment Problem	A Hybrid Constraint-Based, Greedy, and Local Search Approach for the Transshipment Problem
U
Urban flood prediction	Deep learning emulators for large-scale, high-resolution urban pluvial flood prediction
V
Validation	Numbers Don't Lie: Hybrid Extraction and Validation of Quantitative Statements in Arguments with Semi-Structured Information
Vision-Language Models	On the Domain Robustness of Contrastive Vision-Language Models
X
x-Ai	XAIRob --- An Explainable-AI-Based Relative Robustness Measure for Object Detection

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