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Maciej Chrabaszcz

3 accepted papers

2026

Efficient LLM Moderation with Multi-Layer Latent Prototypes

ICML 2026poster

Although modern LLMs are aligned with human values during post-training, robust moderation remains essential to prevent harmful outputs at deployment time. Existing approaches suffer from performance-efficiency trade-offs and are difficult to customize to user-specific requirements. Motivated by thi…

Cited by 0SourceScholar
2025

Mamba Goes HoME: Hierarchical Soft Mixture-of-Experts for 3D Medical Image Segmentation

NeurIPS 2025poster

In recent years, artificial intelligence has significantly advanced medical image segmentation. Nonetheless, challenges remain, including efficient 3D medical image processing across diverse modalities and handling data variability. In this work, we introduce Hierarchical Soft Mixture-of-Experts (Ho…

Cited by 0SourcecodeScholar
2025

PLLuM-Align: Polish Preference Dataset for Large Language Model Alignment

EMNLP 2025

Alignment is the critical process of minimizing harmful outputs by teaching large language models (LLMs) to prefer safe, helpful and appropriate responses. While the majority of alignment research and datasets remain overwhelmingly English-centric, ensuring safety across diverse linguistic and cultu

Cited by 0SourcePDFScholar