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ORCID48th KI 2025: Potsdam, Germany
- Tanya Braun
, Benjamin Paaßen, Frieder Stolzenburg:
KI 2025: Advances in Artificial Intelligence - 48th German Conference on AI, Potsdam, Germany, September 16-19, 2025, Proceedings. Lecture Notes in Computer Science 15956, Springer 2026, ISBN 978-3-032-02812-9
Full Technical Papers
- Constantin Brîncoveanu, Kim Valerie Carl, Aaron Witzki, Oliver Hinz:
Augmenting Systematic Literature Reviews: A Human-AI Collaborative Framework. 3-17 - Björn Filter, Jan Schubsda, Ralf Möller, Özgür Lütfü Özçep:
Balanced Reciprocity for Data Sharing - Axiomatization and Mechanism Design. 18-31 - Yuliia Kaidashova, Bettina Finzel, Ute Schmid:
Toward Simple and Robust Contrastive Explanations for Image Classification by Leveraging Instance Similarity and Concept Relevance. 32-46 - Hannes Kath, Thiago S. Gouvêa, Daniel Sonntag:
Intermediate-Task Transfer Learning for Bioacoustic Data. 47-61 - Mario Koddenbrock, Rudolf Hoffmann, David Brodmann, Erik Rodner:
On the Domain Robustness of Contrastive Vision-Language Models. 62-76 - Mirko Lenz, Lorik Dumani, Ralf Schenkel, Ralph Bergmann:
Numbers Don't Lie: Hybrid Extraction and Validation of Quantitative Statements in Arguments with Semi-structured Information. 77-90 - Sven Löffler, Viktoria Abbenhaus, George Assaf, Petra Hofstedt:
A Hybrid Constraint-Based, Greedy, and Local Search Approach for the Transshipment Problem. 91-103 - Omar Naim, Guilhem Fouilhé, Nicholas Asher:
Re-examining Learning Linear Functions in Context. 104-117 - Phuc Truong Loc Nguyen, Truong Thanh Hung Nguyen, Hung Cao:
ODExAI: A Comprehensive Object Detection Explainable AI Evaluation. 118-133 - Martin Schumann:
Enhancing Semi-supervised Learning with a Meta-feature Based Safeguard System. 134-147 - Mazen Soliman, Nourhan Ehab:
Caïssa AI: A Neuro-Symbolic Chess Agent for Explainable Move Suggestion and Grounded Commentary. 148-160 - Maximilian Stubbemann, Tobias Hille, Tom Hanika:
Unsupervised Selection of Features by Their Resilience to the Curse of Dimensionality. 161-174 - Paul Wachter, Lukas Niehaus, Julius Schöning:
Development of Hybrid Artificial Intelligence Training on Real and Synthetic Data - Benchmark on Two Mixed Training Strategies. 175-189 - Sarah Weiß, Christopher Bonenberger, Tobias Niedermaier, Maik Knof, Benjamin Stähle, Markus Schneider:
Towards Systematic Evaluation of Computer Vision Models Under Data Anonymization. 190-203 - Raeesa Yousaf, Marina Walther, Michael Gertz:
Accessible Language Simplification: Large Language Models for Generating Easy German. 204-217
Technical Communications
- Youssef Ayman, Nourhan Ehab:
Learn, Optimize, Explain: A Neuro-Symbolic Advisor for Personal Finance. 221-227 - Dinesh Krishna Natarajan, Marco Stricker, Rushan Mukherjee, Marcela Charfuelan, Marlon Nuske, Andreas Dengel:
Deep Learning Emulators for Large-Scale, High-Resolution Urban Pluvial Flood Prediction. 228-235 - Zeynep G. Saribatur, Johannes Langer, Anna Magdalena Thaler, Ute Schmid:
Towards Observing the Effect of Abstraction on Understandability of Explanations in Answer Set Programming. 236-243 - Benedikt Schlereth-Groh, Ramin Tavakoli Kolagari, Ute Schmid:
XAIRob - An Explainable-AI-Based Relative Robustness Measure for Object Detection. 244-251 - Thorben Schomacker, Burak Tinman, Chris Biemann, Marina Tropmann-Frick:
LLMs for Easy Language Translation: A Case Study on German Public Authorities Web Pages. 252-261 - Luisa Schneider, Bettina Finzel, Ute Schmid:
Re-evaluating the Robustness and Interpretability of the Contrastive Explanations Method for Image Classification. 262-269 - Denis Trescher, Waldemar Haag, Enrico Schröder:
Visualizing and Interpreting Neural Network Focus Regions: A Comparative Study of Vision Transformers on Synthetic and Real Data. 270-277 - Marcel Wentzien, Jerome Ingber, Jörg Schlötterer, Dirk Schmalzried:
Comparing the Visual Quality of Deep Generative Models for Steel Microstructures. 278-285
Extended Abstracts
- Achyut Hegde, Maximilian Noppel, Christian Wressnegger:
Makrut Attacks Against Black-Box Explanations. 289-293 - Lukas Kinder, Lukas Edman, Alexander Fraser, Tobias Käfer:
Positional Overload: Positional Debiasing and Context Window Extension for Large Language Models Using Set Encoding. 294-297 - Maximilian Noppel, Karl Rubel, Christian Wressnegger:
Exploiting Contexts of LLM-based Code-Completion. 298-302 - Rudolf Seising:
The Origins of AI Research in the Federal Republic of Germany. 303 - Felix Weitkämper:
Probabilities of the Third Type: Statistical Relational Learning and Reasoning with Relative Frequencies. 304-307
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