5 papers
Nationality encoding in language model hidden states: Probing culturally differentiated representations in persona-conditioned academic text
Paul Jackson, Ruizhe Li, Elspeth Edelstein
Large language models are increasingly used as writing tools and pedagogical resources in English for Academic Purposes, but it remains unclear whether they encode culturally diffe…
Search-MIND: Training-Free Multi-Modal Medical Image Registration
Boya Wang, Ruizhe Li, Chao Chen +1
Multi-modal image registration plays a critical role in precision medicine but faces challenges from non-linear intensity relationships and local optima. While deep learning models…
Race, Ethnicity and Their Implication on Bias in Large Language Models
Shiyue Hu, Ruizhe Li, Yanjun Gao
Large language models (LLMs) increasingly operate in high-stakes settings including healthcare and medicine, where demographic attributes such as race and ethnicity may be explicit…
Anchored Answers: Unravelling Positional Bias in GPT-2's Multiple-Choice Questions
Ruizhe Li, Yanjun Gao
Large Language Models (LLMs), such as the GPT-4 and LLaMA families, have demonstrated considerable success across diverse tasks, including multiple-choice questions (MCQs). However…
Leveraging Medical Knowledge Graphs Into Large Language Models for Diagnosis Prediction: Design and Application Study
Yanjun Gao, Ruizhe Li, Emma Croxford +6
Electronic Health Records (EHRs) and routine documentation practices play a vital role in patients' daily care, providing a holistic record of health, diagnoses, and treatment. How…