BIT. UA-AAUBS at ArchEHR-QA 2026: Evaluating Open-Source and Proprietary LLMs via Prompting in Low-Resource QA

Richard Adolph Aires Jonker; Alexander Christiansen; Alexandros Maniatis; Rúben Garrido; Rogério Braunschweiger de Freitas Lima; Sérgio Matos; Roman Jurowetzki

BIT. UA-AAUBS at ArchEHR-QA 2026: Evaluating Open-Source and Proprietary LLMs via Prompting in Low-Resource QA

Richard Adolph Aires Jonker
, Alexander Christiansen
, Alexandros Maniatis
, Rúben Garrido
, Rogério Braunschweiger de Freitas Lima
, Sérgio Matos
, Roman Jurowetzki

Research output: Working paper/Preprint › Preprint

Abstract

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 in a low-resource setting.

Original language	English
Publication status	Published - 6 May 2026

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title = "BIT. UA-AAUBS at ArchEHR-QA 2026: Evaluating Open-Source and Proprietary LLMs via Prompting in Low-Resource QA",

abstract = "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 in a low-resource setting.",

author = "Jonker, \{Richard Adolph Aires\} and Alexander Christiansen and Alexandros Maniatis and R{\'u}ben Garrido and \{Braunschweiger de Freitas Lima\}, Rog{\'e}rio and S{\'e}rgio Matos and Roman Jurowetzki",

year = "2026",

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type = "WorkingPaper",

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AU - Jonker, Richard Adolph Aires

AU - Christiansen, Alexander

AU - Maniatis, Alexandros

AU - Garrido, Rúben

AU - Braunschweiger de Freitas Lima, Rogério

AU - Matos, Sérgio

AU - Jurowetzki, Roman

PY - 2026/5/6

Y1 - 2026/5/6

N2 - 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 in a low-resource setting.

AB - 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 in a low-resource setting.

M3 - Preprint

BT - BIT. UA-AAUBS at ArchEHR-QA 2026: Evaluating Open-Source and Proprietary LLMs via Prompting in Low-Resource QA

ER -

BIT. UA-AAUBS at ArchEHR-QA 2026: Evaluating Open-Source and Proprietary LLMs via Prompting in Low-Resource QA

Abstract

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