Author

Thomas Fuchs

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Jul 2026

Exploring Post-Training Alignment of Small Language Models for Biomedical Data-to-Text Generation: A Case Study of Medication Leaflet

This study presents a comparative analysis of training small language models (SLMs) in specialized biomedical datato-text generation tasks and shows that the aligned SLMs outperform proprietary models like GPT-5; ORPO outperforms the SFTbaselines; and GRPO yields the most robust cross-dataset performance among the alignment methods tested.

Xi Yang, Guodong Liu, Chuqin Li et al. · arXiv.org · 0 citations