Kersting, Kristian

Memory-R1: Enhancing Large Language Model Agents to Manage and Utilize Memories via Reinforcement Learning

Yan, S., Yang, X., Huang, Z., Nie, E., Ding, Z., Li, Z., Ma, X., Bi, J., Kersting, K., Pan, J. Z., et al. (2025) · arXiv

Topic ModelingNatural Language Processing Techniques

Cited by 297

Safe Latent Diffusion: Mitigating Inappropriate Degeneration in Diffusion Models

Schramowski, P., Brack, M., Deiseroth, B., & Kersting, K. (2023) · 2023 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)

Generative Adversarial Networks and Image SynthesisAdversarial Robustness in Machine Learning

Cited by 219

Predicting player churn in the wild

Hadiji, F., Sifa, R., Drachen, A., Thurau, C., Kersting, K., & Bauckhage, C. (2014) · 2014 IEEE Conference on Computational Intelligence and Games

Customer churn and segmentationDigital Games and Media

Cited by 154

ChatGPT is fun, but it is not funny! Humor is still challenging Large Language Models

Jentzsch, S., & Kersting, K. (2023) · arXiv

Humor Studies and ApplicationsTopic Modeling

Cited by 84

Causal Parrots: Large Language Models May Talk Causality But Are Not Causal

Zečević, M., Willig, M., Dhami, D. S., & Kersting, K. (2023) · arXiv

Bayesian Modeling and Causal InferenceLogic, Reasoning, and Knowledge

Cited by 64

Compressing probabilistic Prolog programs

De Raedt, L., Kersting, K., Kimmig, A., Revoredo, K., & Toivonen, H. (2008) · Machine Learning

Bayesian Modeling and Causal InferenceLogic, Reasoning, and Knowledge

Cited by 40

Mechanistic Design and Scaling of Hybrid Architectures

Poli, M., Thomas, A. W., Nguyen, E., Ponnusamy, P., Deiseroth, B., Kersting, K., Suzuki, T., Hie, B., Ermon, S., Ré, C., et al. (2024) · arXiv

Topic ModelingNatural Language Processing Techniques

Cited by 4