Maciej Rybinski — accepted AI-conference papers

2025

Aligning AI Research with the Needs of Clinical Coding Workflows: Eight Recommendations Based on US Data Analysis and Critical Review

Yidong Gan, Maciej Rybinski, Ben Hachey, Jonathan K. Kummerfeld

ACL 2025long

Clinical coding is crucial for healthcare billing and data analysis. Manual clinical coding is labour-intensive and error-prone, which has motivated research towards full automation of the process. However, our analysis, based on US English electronic health records and automated coding research usi…

Cited by 0 Source ↗PDF ↗code ↗Scholar ↗

2023

impact of sample selection on in-context learning for entity extraction from scientific writing

Necva Bölücü, Maciej Rybinski, Stephen Wan

EMNLP 2023long findings

Prompt-based usage of Large Language Models (LLMs) is an increasingly popular way to tackle many well-known natural language problems. This trend is due, in part, to the appeal of the In-Context Learning (ICL) prompt set-up, in which a few selected training examples are provided along with the infer…

Cited by 0 Source ↗Scholar ↗