Publications (7)
Beyond Polarity: Multi-Dimensional LLM Sentiment Signals for WTI Crude Oil Futures Return Prediction
Dehao Dai, Ding Ma, Dou Liu +2
Forecasting crude oil prices remains challenging because market-relevant information is embedded in large volumes of unstructured news and is not fully captured by traditional pola…
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…
Covariance-regularized reconstruction of data cubes in integral field spectroscopy and application to MaNGA data
Dou Liu, Michael R. Blanton, David R. Law
Integral field spectroscopy can map astronomical objects spatially and spectroscopically. Due to instrumental and atmospheric effects, it is common for integral field instruments t…
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…
The Eddington Ratio Distribution of Narrow Line Active Galactic Nuclei
Michael R. Blanton, Arjun Suresh, Kyle B. Westfall +2
We measure the Eddington ratio distribution of local optical narrow-line active galactic nuclei (AGN) as a function of host galaxy properties, as a potential test of galaxy formati…
Evaluating the Feasibility and Accuracy of Large Language Models for Medical History-Taking in Obstetrics and Gynecology
Dou Liu, Ying Long, Sophia Zuoqiu +2
Effective physician-patient communications in pre-diagnostic environments, and most specifically in complex and sensitive medical areas such as infertility, are critical but consum…
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…