KI 2025: 48TH GERMAN CONFERENCE ON ARTIFICIAL INTELLIGENCE

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Abbenhaus, Viktoria	A Hybrid Constraint-Based, Greedy, and Local Search Approach for the Transshipment Problem
Asher, Nicholas	Re-examining learning linear functions in context
Assaf, George	A Hybrid Constraint-Based, Greedy, and Local Search Approach for the Transshipment Problem
Ayman, Youssef	Learn, Optimize, Explain: A Neuro-Symbolic Advisor for Personal Finance
B
Bergmann, Ralph	Numbers Don't Lie: Hybrid Extraction and Validation of Quantitative Statements in Arguments with Semi-Structured Information
Biemann, Chris	LLMs for Easy Language Translation: A Case Study on German Public Authorities Web Pages
Bonenberger, Christopher	Towards Systematic Evaluation of Computer Vision Models under Data Anonymization
Braun, Tanya	KI 2025 - Opening KI 2025 - Closing
Brodmann, David	On the Domain Robustness of Contrastive Vision-Language Models
Brîncoveanu, Constantin	Augmenting Systematic Literature Reviews in Information Systems: A Human-AI Collaborative Framework
C
Cao, Hung	ODExAI: A Comprehensive Object Detection Explainable AI Evaluation
Carl, K Valerie	Augmenting Systematic Literature Reviews in Information Systems: A Human-AI Collaborative Framework
Charfuelan, Marcela	Deep learning emulators for large-scale, high-resolution urban pluvial flood prediction
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Dengel, Andreas	Deep learning emulators for large-scale, high-resolution urban pluvial flood prediction
Dinneen, Jesse	Magic wands and digital zombies: some promises and risks of AI for digital legacy
Dumani, Lorik	Numbers Don't Lie: Hybrid Extraction and Validation of Quantitative Statements in Arguments with Semi-Structured Information
E
Edman, Lukas	Positional Overload: Positional Debiasing and Context Window Extension for Large Language Models using Set Encoding
Ehab, Nourhan	Caïssa AI: A Neuro-Symbolic Chess Agent for Explainable Move Suggestion and Grounded Commentary Learn, Optimize, Explain: A Neuro-Symbolic Advisor for Personal Finance
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Filter, Björn	Balanced Reciprocity for Data Sharing - Axiomatization and Mechanism Design
Finzel, Bettina	Re-Evaluating the Robustness and Interpretability of the Contrastive Explanation Method for Image Classification Toward Short and Robust Contrastive Explanations for Image Classification by Leveraging Instance Similarity and Concept Relevance
Fouilhé, Guilhem	Re-examining learning linear functions in context
Fraser, Alexander	Positional Overload: Positional Debiasing and Context Window Extension for Large Language Models using Set Encoding
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Gertz, Michael	Accessible Language Simplification: Large Language Models for Generating Easy German
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Haag, Waldemar	Visualizing and Interpreting Neural Network Focus Regions: A Comparative Study of Vision Transformers on Synthetic and Real Data
Hammer, Barbara	Tackling Challenges in Critical Infrastructure through Machine Learning
Hanika, Tom	Unsupervised Selection of Features by their Resilience to the Curse of Dimensionality
Hegde, Achyut	Makrut Attacks Against Black-Box Explanations
Hille, Tobias	Unsupervised Selection of Features by their Resilience to the Curse of Dimensionality
Hinz, Oliver	Augmenting Systematic Literature Reviews in Information Systems: A Human-AI Collaborative Framework
Hoffmann, Rudolf	On the Domain Robustness of Contrastive Vision-Language Models
Hofstedt, Petra	A Hybrid Constraint-Based, Greedy, and Local Search Approach for the Transshipment Problem
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Ingber, Jerome	Comparing the visual quality of deep generative models for steel microstructures
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Kaidashova, Yuliia	Toward Short and Robust Contrastive Explanations for Image Classification by Leveraging Instance Similarity and Concept Relevance
Kath, Hannes	Intermediate-Task Transfer Learning for Bioacoustic Data
Kinder, Lukas	Positional Overload: Positional Debiasing and Context Window Extension for Large Language Models using Set Encoding
Knof, Maik	Towards Systematic Evaluation of Computer Vision Models under Data Anonymization
Koddenbrock, Mario	On the Domain Robustness of Contrastive Vision-Language Models
Käfer, Tobias	Positional Overload: Positional Debiasing and Context Window Extension for Large Language Models using Set Encoding
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Langer, Johannes	Towards Observing the Effect of Abstraction on Understandability of Explanations in Answer Set Programming
Lenz, Mirko	Numbers Don't Lie: Hybrid Extraction and Validation of Quantitative Statements in Arguments with Semi-Structured Information
Löffler, Sven	A Hybrid Constraint-Based, Greedy, and Local Search Approach for the Transshipment Problem
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Mukherjee, Rushan	Deep learning emulators for large-scale, high-resolution urban pluvial flood prediction
Möller, Ralf	Balanced Reciprocity for Data Sharing - Axiomatization and Mechanism Design
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Naim, Omar	Re-examining learning linear functions in context
Natarajan, Dinesh Krishna	Deep learning emulators for large-scale, high-resolution urban pluvial flood prediction
Nguyen, Phuc Truong Loc	ODExAI: A Comprehensive Object Detection Explainable AI Evaluation
Nguyen, Truong Thanh Hung	ODExAI: A Comprehensive Object Detection Explainable AI Evaluation
Niedermaier, Tobias	Towards Systematic Evaluation of Computer Vision Models under Data Anonymization
Niehaus, Lukas	Development of Hybrid Artificial Intelligence Training on Real and Synthetic Data
Noppel, Maximilian	Makrut Attacks Against Black-Box Explanations Exploiting Contexts of LLM-based Code-Completion
Nuske, Marlon	Deep learning emulators for large-scale, high-resolution urban pluvial flood prediction
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Paaßen, Benjamin	KI 2025 - Opening KI 2025 - Closing
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Rodner, Erik	On the Domain Robustness of Contrastive Vision-Language Models
Rubel, Karl	Exploiting Contexts of LLM-based Code-Completion
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S. Gouvêa, Thiago	Intermediate-Task Transfer Learning for Bioacoustic Data
Saribatur, Zeynep G.	Towards Observing the Effect of Abstraction on Understandability of Explanations in Answer Set Programming
Schenkel, Ralf	Numbers Don't Lie: Hybrid Extraction and Validation of Quantitative Statements in Arguments with Semi-Structured Information
Schlereth-Groh, Benedikt	XAIRob --- An Explainable-AI-Based Relative Robustness Measure for Object Detection
Schlötterer, Jörg	Comparing the visual quality of deep generative models for steel microstructures
Schmalzried, Dirk	Comparing the visual quality of deep generative models for steel microstructures
Schmid, Ute	XAIRob --- An Explainable-AI-Based Relative Robustness Measure for Object Detection Re-Evaluating the Robustness and Interpretability of the Contrastive Explanation Method for Image Classification Toward Short and Robust Contrastive Explanations for Image Classification by Leveraging Instance Similarity and Concept Relevance Towards Observing the Effect of Abstraction on Understandability of Explanations in Answer Set Programming
Schneider, Luisa	Re-Evaluating the Robustness and Interpretability of the Contrastive Explanation Method for Image Classification
Schneider, Markus	Towards Systematic Evaluation of Computer Vision Models under Data Anonymization
Schoening, Julius	Development of Hybrid Artificial Intelligence Training on Real and Synthetic Data
Schomacker, Thorben	LLMs for Easy Language Translation: A Case Study on German Public Authorities Web Pages
Schröder, Enrico	Visualizing and Interpreting Neural Network Focus Regions: A Comparative Study of Vision Transformers on Synthetic and Real Data
Schubsda, Jan	Balanced Reciprocity for Data Sharing - Axiomatization and Mechanism Design
Schumann, Martin	Enhancing Semi-Supervised Learning with a Meta-Feature Based Safeguard System
Seising, Rudolf	The origins of AI research in the Federal Republic of Germany
Soliman, Mazen	Caïssa AI: A Neuro-Symbolic Chess Agent for Explainable Move Suggestion and Grounded Commentary
Sonntag, Daniel	Intermediate-Task Transfer Learning for Bioacoustic Data
Stolzenburg, Frieder	KI 2025 - Opening KI 2025 - Closing
Stricker, Marco	Deep learning emulators for large-scale, high-resolution urban pluvial flood prediction
Stubbemann, Maximilian	Unsupervised Selection of Features by their Resilience to the Curse of Dimensionality
Stähle, Benjamin	Towards Systematic Evaluation of Computer Vision Models under Data Anonymization
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Tavakoli Kolagari, Ramin	XAIRob --- An Explainable-AI-Based Relative Robustness Measure for Object Detection
Thaler, Anna M.	Towards Observing the Effect of Abstraction on Understandability of Explanations in Answer Set Programming
Tinman, Burak	LLMs for Easy Language Translation: A Case Study on German Public Authorities Web Pages
Trescher, Denis	Visualizing and Interpreting Neural Network Focus Regions: A Comparative Study of Vision Transformers on Synthetic and Real Data
Tropmann-Frick, Marina	LLMs for Easy Language Translation: A Case Study on German Public Authorities Web Pages
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Verbrugge, Rineke	TBA
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Wachter, Paul	Development of Hybrid Artificial Intelligence Training on Real and Synthetic Data
Walbiner, Carsten	International Research Stays for Computer Scientists
Walther, Marina	Accessible Language Simplification: Large Language Models for Generating Easy German
Weitkämper, Felix	Probabilities of the Third Type: Statistical Relational Learning and Reasoning with Relative Frequencies (Extended Abstract)
Weiß, Sarah	Towards Systematic Evaluation of Computer Vision Models under Data Anonymization
Wentzien, Marcel	Comparing the visual quality of deep generative models for steel microstructures
Witzki, Aaron	Augmenting Systematic Literature Reviews in Information Systems: A Human-AI Collaborative Framework
Wressnegger, Christian	Makrut Attacks Against Black-Box Explanations Exploiting Contexts of LLM-based Code-Completion
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Yousaf, Raeesa	Accessible Language Simplification: Large Language Models for Generating Easy German
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Özçep, Özgür Lütfü	Balanced Reciprocity for Data Sharing - Axiomatization and Mechanism Design

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