Author

Run-Ze Yang

3 papers indexed here

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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

#artificial intelligence Preprint Feb 2026

VLANeXt Family: A Systematic Study of VLA Models from Core Recipes to Emerging Paradigms

This study systematically dissects design choices along three dimensions: foundational components, perception essentials, and action modeling perspectives and distill 12 key findings that together form a practical recipe for building strong VLA models, resulting in a simple yet effective model, VLANeXt.

Xiao-Ming Wu, Kang Liao, Yi-Hang Luo et al. · 12 citations · ⚡3

#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