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cs.CL2026

A Domain-Adapted Pipeline for Structured Information Extraction from Police Incident Announcements on Social Media

Mengfan Shen, Kangqi Song, Xindi Wang +3

Structured information extraction from police incident announcements is crucial for timely and accurate data processing, yet presents considerable challenges due to the variability…

cs.CL2025

Trustworthy Medical Question Answering: An Evaluation-Centric Survey

Yinuo Wang, Baiyang Wang, Robert E. Mercer +5

Trustworthiness in healthcare question-answering (QA) systems is important for ensuring patient safety, clinical effectiveness, and user confidence. As large language models (LLMs)…

cs.CL2024

Graph-tree Fusion Model with Bidirectional Information Propagation for Long Document Classification

Sudipta Singha Roy, Xindi Wang, Robert E. Mercer +1

Long document classification presents challenges in capturing both local and global dependencies due to their extensive content and complex structure. Existing methods often strugg…

cs.CL2024

Multi-stage Retrieve and Re-rank Model for Automatic Medical Coding Recommendation

Xindi Wang, Robert E. Mercer, Frank Rudzicz

The International Classification of Diseases (ICD) serves as a definitive medical classification system encompassing a wide range of diseases and conditions. The primary objective…

cs.CL2024

Auxiliary Knowledge-Induced Learning for Automatic Multi-Label Medical Document Classification

Xindi Wang, Robert E. Mercer, Frank Rudzicz

The International Classification of Diseases (ICD) is an authoritative medical classification system of different diseases and conditions for clinical and management purposes. ICD…

cs.CL2024

Beyond the Limits: A Survey of Techniques to Extend the Context Length in Large Language Models

Xindi Wang, Mahsa Salmani, Parsa Omidi +3

Recently, large language models (LLMs) have shown remarkable capabilities including understanding context, engaging in logical reasoning, and generating responses. However, this is…