Author

Yi-Ting Lin

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Nov 2025

The Alignment Paradox of Medical Large Language Models in Infertility Care: Decoupling Algorithmic Improvement from Clinical Decision-making Quality

Large language models (LLMs) are increasingly adopted in clinical decision support, yet aligning them with the multifaceted reasoning pathways of real-world medicine remains a major challenge. Using more than 8,000 infertility treatment records, we systematically evaluate four alignment strategies: Supervised Fine-Tuni...

Dou Liu, Ying Long, Sophia Zuoqiu et al. · arXiv.org · 1 citation

#large language models Review Open access Sep 2026

The Alignment Paradox of Medical Large Language Models in Infertility Care: Decoupling Algorithmic Improvement From Clinical Decision-Making Quality

Abstract Background Large language models (LLMs) have been proposed as decision-support tools in assisted reproductive technology (ART), but it remains unclear whether posttraining alignment strategies translate into clinically acceptable decision support. Outcome-based benchmarks may reward token-level correctness whi...

Dou Liu, Ying Long, Sophia Zuoqiu et al. · Journal of Medical Internet... · 0 citations