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        <title>LMU at PerAnsSumm 2025: LlaMA-in-the-loop at Perspective-Aware Healthcare Answer Summarization Task 2.2 Factuality</title>
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            <title>Proceedings of the Second Workshop on Patient-Oriented Language Processing (CL4Health)</title>
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    <abstract>In this paper, we describe our submission for the shared task on Perspective-aware Healthcare Answer Summarization. Our system consists of two quantized models of the LlaMA family, applied across fine-tuning and few-shot settings. Additionally, we adopt the SumCoT prompting technique to improve the factual correctness of the generated summaries. We show that SumCoT yields more factually accurate summaries, even though this improvement comes at the expense of lower performance on lexical overlap and semantic similarity metrics such as ROUGE and BERTScore. Our work highlights an important trade-off when evaluating summarization models.</abstract>
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%0 Conference Proceedings
%T LMU at PerAnsSumm 2025: LlaMA-in-the-loop at Perspective-Aware Healthcare Answer Summarization Task 2.2 Factuality
%A Ağustoslu, Tanalp
%Y Ananiadou, Sophia
%Y Demner-Fushman, Dina
%Y Gupta, Deepak
%Y Thompson, Paul
%S Proceedings of the Second Workshop on Patient-Oriented Language Processing (CL4Health)
%D 2025
%8 May
%I Association for Computational Linguistics
%C Albuquerque, New Mexico
%@ 979-8-89176-238-1
%F agustoslu-2025-lmu
%X In this paper, we describe our submission for the shared task on Perspective-aware Healthcare Answer Summarization. Our system consists of two quantized models of the LlaMA family, applied across fine-tuning and few-shot settings. Additionally, we adopt the SumCoT prompting technique to improve the factual correctness of the generated summaries. We show that SumCoT yields more factually accurate summaries, even though this improvement comes at the expense of lower performance on lexical overlap and semantic similarity metrics such as ROUGE and BERTScore. Our work highlights an important trade-off when evaluating summarization models.
%R 10.18653/v1/2025.cl4health-1.34
%U https://aclanthology.org/2025.cl4health-1.34/
%U https://doi.org/10.18653/v1/2025.cl4health-1.34
%P 380-388

Markdown (Informal)

[LMU at PerAnsSumm 2025: LlaMA-in-the-loop at Perspective-Aware Healthcare Answer Summarization Task 2.2 Factuality](https://aclanthology.org/2025.cl4health-1.34/) (Ağustoslu, CL4Health 2025)

• LMU at PerAnsSumm 2025: LlaMA-in-the-loop at Perspective-Aware Healthcare Answer Summarization Task 2.2 Factuality (Ağustoslu, CL4Health 2025)

ACL

• Tanalp Ağustoslu. 2025. LMU at PerAnsSumm 2025: LlaMA-in-the-loop at Perspective-Aware Healthcare Answer Summarization Task 2.2 Factuality. In Proceedings of the Second Workshop on Patient-Oriented Language Processing (CL4Health), pages 380–388, Albuquerque, New Mexico. Association for Computational Linguistics.