2 citations · 3 across the 4 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…
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…
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…
Evaluating the Application of ChatGPT in Outpatient Triage Guidance: A Comparative Study
Dou Liu, Ying Han, Xiandi Wang +6
The integration of Artificial Intelligence (AI) in healthcare presents a transformative potential for enhancing operational efficiency and health outcomes. Large Language Models (L…