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Author

Burcu Baştürk

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Open access Sep 2026

Evaluating Large Language Models for Biomedical Text Summarization: A Study of Cardiovascular Research

In this study, presented a comprehensive evaluation of abstractive and extractive summarization performance across three prominent large language models (LLMs): ChatGPT, DeepSeek, and Gemini. A total of 8,000 cardiovascular-related research abstracts were collected from PubMed and summarized using two distinct promptin...

Burcu Baştürk, Aytuğ Onan · 0 citations
Open access Jul 2026

Topic Modeling and Semantic Similarity-Based Evaluation of Biomedical Text Abstracts Generated by LLM

The results indicate that abstractive summaries, particularly those generated by Gemini and ChatGPT, achieve coherence levels comparable to or higher than original abstracts under LDA and LSA, while extractive summaries exhibit greater variability.

Burcu Baştürk, Aytuğ Onan · 0 citations

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