Mario Fritz

Most-cited papers

1. DP-2Stage: Adapting Language Models as Differentially Private Tabular Data Generators

   Tejumade Afonja, Hui-Po Wang, R. Kerkouche, Mario Fritz

   2024Trans. Mach. Learn. Res.8 citations

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2. Language Models as Zero-shot Lossless Gradient Compressors: Towards General Neural Parameter Prior Models

   Hui-Po Wang, Mario Fritz

   2024Neural Information Processing Systems6 citations

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3. Automated Detection of Abnormalities in Zebrafish Development

   S. Sivaprasad, Hui-Po Wang, Anna-Lisa Jäckel, Jonas Baumann +3 more

   2026International Conference on Medical Image Computing and Computer-Assisted Intervention2 citations Open access

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4. Accept or Deny? Evaluating LLM Fairness and Performance in Loan Approval across Table-to-Text Serialization Approaches

   I. Azime, D. D. Kanubala, Tejumade Afonja, Mario Fritz +3 more

   2025Conference on Empirical Methods in Natural Language Processing1 citations

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5. Self-Improving Tabular Language Models via Iterative Group Alignment

   Yun-Bo Long, Tejumade Afonja, A. Brintrup, Mario Fritz

   2026arXiv.org0 citations

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6. Self-Improving Tabular Language Models via Iterative Reward-Guided Post-Training

   Yun-Bo Long, Tejumade Afonja, Guang-Ya Hao, A. Brintrup +1 more

   20260 citations

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7. DP-2Stage: Adapting Language Models as Di ! erentially Private Tabular Data Generators

   Tejumade Afonja, Hui-Po Wang, R. Kerkouche, Mario Fritz

   0 citations

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