Yuelyu Ji

According to our database, Yuelyu Ji authored at least 17 papers between 2023 and 2025.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2025

MRAG-Suite: A Diagnostic Evaluation Platform for Visual Retrieval-Augmented Generation.

Yuelyu Ji

CoRR, September, 2025

Generative Foundation Model for Structured and Unstructured Electronic Health Records.

Sonish Sivarajkumar, Hang Zhang, Yuelyu Ji, Maneesh Bilalpur, Xizhi Wu, Chenyu Li, Min Gu Kwak, Shyam Visweswaran, Yanshan Wang

CoRR, August, 2025

DeepRAG: Integrating Hierarchical Reasoning and Process Supervision for Biomedical Multi-Hop QA.

Yuelyu Ji, Hang Zhang, Shiven Verma, Hui Ji, Chun Li, Yushui Han, Yanshan Wang

CoRR, June, 2025

Curriculum Guided Reinforcement Learning for Efficient Multi Hop Retrieval Augmented Generation.

Yuelyu Ji, Rui Meng, Zhuochun Li, Daqing He

CoRR, May, 2025

Memory-Aware and Uncertainty-Guided Retrieval for Multi-Hop Question Answering.

Yuelyu Ji, Rui Meng, Zhuochun Li, Daqing He

CoRR, March, 2025

Bias Evaluation and Mitigation in Retrieval-Augmented Medical Question-Answering Systems.

Yuelyu Ji, Hang Zhang, Yanshan Wang

CoRR, March, 2025

Mitigating the risk of health inequity exacerbated by large language models.

Yuelyu Ji, Wenhe Ma, Sonish Sivarajkumar, Hang Zhang, Eugene Mathew Sadhu, Zhuochun Li, Xizhi Wu, Shyam Visweswaran, Yanshan Wang

npj Digit. Medicine, 2025

Reason-to-Rank: Distilling Direct and Comparative Reasoning from Large Language Models for Document Reranking.

Yuelyu Ji, Zhuochun Li, Rui Meng, Daqing He

Proceedings of the 48th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2025

Learning from Committee: Reasoning Distillation from a Mixture of Teachers with Peer-Review.

Zhuochun Li, Yuelyu Ji, Rui Meng, Daqing He

Proceedings of the Findings of the Association for Computational Linguistics, 2025

2024

ReasoningRank: Teaching Student Models to Rank through Reasoning-Based Knowledge Distillation.

Yuelyu Ji, Zhuochun Li, Rui Meng, Daqing He

CoRR, 2024

Transfer Learning with Clinical Concept Embeddings from Large Language Models.

Yuhe Gao, Runxue Bao, Yuelyu Ji, Yiming Sun, Chenxi Song, Jeffrey P. Ferraro, Ye Ye

CoRR, 2024

Assertion Detection Large Language Model In-context Learning LoRA Fine-tuning.

Yuelyu Ji, Zeshui Yu, Yanshan Wang

CoRR, 2024

Assertion Detection in Clinical Natural Language Processing Using Large Language Models.

Yuelyu Ji, Zeshui Yu, Yanshan Wang

Proceedings of the 12th IEEE International Conference on Healthcare Informatics, 2024

RAG-RLRC-LaySum at BioLaySumm: Integrating Retrieval-Augmented Generation and Readability Control for Layman Summarization of Biomedical Texts.

Yuelyu Ji, Zhuochun Li, Rui Meng, Sonish Sivarajkumar, Yanshan Wang, Zeshui Yu, Hui Ji, Yushui Han, Hanyu Zeng, Daqing He

Proceedings of the 23rd Workshop on Biomedical Natural Language Processing, 2024

2023

Prediction of COVID-19 Patients' Emergency Room Revisit using Multi-Source Transfer Learning.

Yuelyu Ji, Yuhe Gao, Runxue Bao, Qi Li, Disheng Liu, Yiming Sun, Ye Ye

Proceedings of the 11th IEEE International Conference on Healthcare Informatics, 2023

Mapping dementia caregivers' comments on social media with evidence-based care strategies for memory loss and confusion.

Ning Zou, Yuelyu Ji, Bo Xie, Daqing He, Zhimeng Luo

Proceedings of the 2023 Conference on Human Information Interaction and Retrieval, 2023

Towards Accurate and Clinically Meaningful Summarization of Electronic Health Record Notes: A Guided Approach.

Zhimeng Luo, Yuelyu Ji, Abhibha Gupta, Zhuochun Li, Adam Frisch, Daqing He

Proceedings of the IEEE EMBS International Conference on Biomedical and Health Informatics, 2023