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cs.CL2026
BIT.UA-AAUBS at ArchEHR-QA 2026: Evaluating Open-Source and Proprietary LLMs via Prompting in Low-Resource QA
Richard A. A. Jonker, Alexander Christiansen, Alexandros Maniatis +4
This paper presents the joint participation of the BIT.UA and AAUBS groups in the ArchEHR-QA 2026 shared task, which focuses on clinical question answering and evidence grounding i…
cs.CL2022★ 5 cited
A Survey on Sentence Embedding Models Performance for Patent Analysis
Hamid Bekamiri, Daniel S. Hain, Roman Jurowetzki
Patent data is an important source of knowledge for innovation research, while the technological similarity between pairs of patents is a key enabling indicator for patent analysis…