1 citations · 1 across the 1 of their papers we have counts for
4 papers
Could Large Language Models work as Post-hoc Explainability Tools in Credit Risk Models?
Wenxi Geng, Dingyuan Liu, Liya Li +1
Large language models (LLMs) have shown promise in translating model-based explanations into human-readable narratives. This study evaluates whether LLMs can serve as post-hoc expl…
The Alignment Paradox of Medical Large Language Models in Infertility Care: Decoupling Algorithmic Improvement from Clinical Decision-making Quality
Dou Liu, Ying Long, Sophia Zuoqiu +8
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 majo…
Assessing the Human-Likeness of LLM-Driven Digital Twins in Simulating Health Care System Trust
Yuzhou Wu, Mingyang Wu, Di Liu +2
Serving as an emerging and powerful tool, Large Language Model (LLM)-driven Human Digital Twins are showing great potential in healthcare system research. However, its actual simul…
Reliability of Large Language Model Generated Clinical Reasoning in Assisted Reproductive Technology: Blinded Comparative Evaluation Study
Dou Liu, Ying Long, Sophia Zuoqiu +6
Creating high-quality clinical Chains-of-Thought (CoTs) is crucial for explainable medical Artificial Intelligence (AI) while constrained by data scarcity. Although Large Language…