07.08.2026
MCML at KDD 2026
Five Accepted Papers
32nd ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, Jeju Island, Republic of Korea, Aug 09-13, 2026
We are happy to announce that MCML researchers have contributed a total of 5 papers to KDD 2026. Congrats to our researchers!
Main Track (5 papers)
T. Amico • P. Matthews • L. Krieger • A. Zimek • I. Assent
DCFO: Density-Based Counterfactuals for Outliers.
KDD 2026 - 32nd ACM SIGKDD International Conference on Knowledge Discovery and Data Mining. Jeju Island, Republic of Korea, Aug 09-13, 2026. To be published. Preprint available. URL
DCFO: Density-Based Counterfactuals for Outliers.
KDD 2026 - 32nd ACM SIGKDD International Conference on Knowledge Discovery and Data Mining. Jeju Island, Republic of Korea, Aug 09-13, 2026. To be published. Preprint available. URL
D. Frauen • M. Brockschmidt • K. Hess • H. Ma • Y. Ma • A. Maarouf • M. Schröder • J. Schweisthal • Y. Wang • A. Deviyani • S. Parbhoo • R. G. Krishnan • S. Feuerriegel
Causal methods for LLM development and evaluation.
KDD 2026 - 32nd ACM SIGKDD International Conference on Knowledge Discovery and Data Mining. Jeju Island, Republic of Korea, Aug 09-13, 2026. To be published. Preprint available. arXiv
Causal methods for LLM development and evaluation.
KDD 2026 - 32nd ACM SIGKDD International Conference on Knowledge Discovery and Data Mining. Jeju Island, Republic of Korea, Aug 09-13, 2026. To be published. Preprint available. arXiv
P. Janetzky • T. Schlagenhauf • M. Klar • S. Feuerriegel
Slowing Down Forgetting in Continual Learning: Evidence from Manufacturing.
KDD 2026 - 32nd ACM SIGKDD International Conference on Knowledge Discovery and Data Mining. Jeju Island, Republic of Korea, Aug 09-13, 2026. To be published.
Slowing Down Forgetting in Continual Learning: Evidence from Manufacturing.
KDD 2026 - 32nd ACM SIGKDD International Conference on Knowledge Discovery and Data Mining. Jeju Island, Republic of Korea, Aug 09-13, 2026. To be published.
Y. Ma • Y. Huang • W. Wang • X. Luo • X. Zhang • S. Feuerriegel
Synthetic Interaction Data for Scalable Personalization in Large Language Models.
KDD 2026 - 32nd ACM SIGKDD International Conference on Knowledge Discovery and Data Mining. Jeju Island, Republic of Korea, Aug 09-13, 2026. To be published. Preprint available. arXiv
Synthetic Interaction Data for Scalable Personalization in Large Language Models.
KDD 2026 - 32nd ACM SIGKDD International Conference on Knowledge Discovery and Data Mining. Jeju Island, Republic of Korea, Aug 09-13, 2026. To be published. Preprint available. arXiv
Y. Qu • Q. Wang • Y. Mao • V. T. Hu • B. Ommer • X. Ji
Can Prompt Difficulty be Online Predicted for Accelerating RL Finetuning of Reasoning Models?
KDD 2026 - 32nd ACM SIGKDD International Conference on Knowledge Discovery and Data Mining. Jeju Island, Republic of Korea, Aug 09-13, 2026. To be published. Preprint available. URL
Can Prompt Difficulty be Online Predicted for Accelerating RL Finetuning of Reasoning Models?
KDD 2026 - 32nd ACM SIGKDD International Conference on Knowledge Discovery and Data Mining. Jeju Island, Republic of Korea, Aug 09-13, 2026. To be published. Preprint available. URL
Related
31.07.2026
Benedikt Wiestler: We Want to Build a Time Machine
MCML PI Benedikt Wiestler explains how AI models help to develop specific strategies in clinical therapy for brain tumor patients.
28.07.2026
Gaps in the Benchmark: Why Medical AI Fails in the Real World
MCML researchers show in Nature Health how dynamic red teaming exposes hidden weaknesses in Medical AI beyond static benchmarks.
26.07.2026
Barbara Plank Becomes President of the Association for Computational Linguistics
MCML PI Barbara Plank becomes President of the Association for Computational Linguistics, the world's leading NLP organization.
