Dil Modelleri ile Akademik Özet Üretimi
| dc.contributor.author | Bektas, Busra | |
| dc.contributor.author | Gultekin, Ali Ozgun | |
| dc.contributor.author | Ozdemiroglu, Emre | |
| dc.contributor.author | Yilmaz, Zeynep | |
| dc.contributor.author | Dikici, Buse | |
| dc.contributor.author | Demir, Seniz | |
| dc.date.accessioned | 2025-10-05T16:35:45Z | |
| dc.date.available | 2025-10-05T16:35:45Z | |
| dc.date.issued | 2025 | |
| dc.description | Isik University | |
| dc.description.abstract | In recent years, large language models have demonstrated extraordinary capabilities in natural language processing tasks. The integration of these models to text summarization has highlighted the need for evaluating varying model performances under a standardized benchmarking framework. In this study, the performance of different large language models in generating abstracts of scientific papers which has a common structure and unique language is compared through an extensive experimental analysis. The abstracts automatically generated by these models using prompt engineering were evaluated via various evaluation metrics based on content overlap and semantic similarity. The results that we obtained demonstrated the effectiveness of large language models in abstract generation. © 2025 Elsevier B.V., All rights reserved. | |
| dc.identifier.doi | 10.1109/SIU66497.2025.11112421 | |
| dc.identifier.isbn | 9798331566555 | |
| dc.identifier.scopus | 2-s2.0-105015586999 | |
| dc.identifier.uri | https://doi.org/10.1109/SIU66497.2025.11112421 | |
| dc.identifier.uri | https://hdl.handle.net/20.500.11779/3095 | |
| dc.language.iso | tr | |
| dc.publisher | Institute of Electrical and Electronics Engineers Inc. | |
| dc.relation.ispartof | -- 33rd IEEE Conference on Signal Processing and Communications Applications, SIU 2025 -- Istanbul; Isik University Sile Campus -- 211450 | |
| dc.rights | info:eu-repo/semantics/closedAccess | |
| dc.subject | Benchmarking | |
| dc.subject | Large Language Models | |
| dc.subject | Scientific Publications | |
| dc.subject | Text Summarization | |
| dc.subject | Abstracting | |
| dc.subject | Computational Linguistics | |
| dc.subject | Natural Language Processing Systems | |
| dc.subject | Semantics | |
| dc.subject | Text Processing | |
| dc.subject | Language Model | |
| dc.subject | Language Processing | |
| dc.subject | Large Language Model | |
| dc.subject | Modeling Performance | |
| dc.subject | Natural Languages | |
| dc.subject | Performance | |
| dc.subject | Scientific Papers | |
| dc.subject | Text Summarisation | |
| dc.subject | Varying Models | |
| dc.title | Dil Modelleri ile Akademik Özet Üretimi | |
| dc.title.alternative | Academic Abstract Generation With LLMs | |
| dc.type | Conference Object | |
| dspace.entity.type | Publication | |
| gdc.author.institutional | Demir, Şeniz | |
| gdc.author.scopusid | 60093375200 | |
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| gdc.author.scopusid | 60093136100 | |
| gdc.author.scopusid | 60092900800 | |
| gdc.author.scopusid | 60093375300 | |
| gdc.author.scopusid | 14044928200 | |
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| gdc.coar.access | metadata only access | |
| gdc.coar.type | text::conference output | |
| gdc.description.department | Mühendislik Fakültesi, Bilgisayar Mühendisliği Bölümü | |
| gdc.description.endpage | 4 | |
| gdc.description.publicationcategory | Konferans Öğesi - Uluslararası - Kurum Öğretim Elemanı | |
| gdc.description.scopusquality | N/A | |
| gdc.description.startpage | 1 | |
| gdc.description.wosquality | N/A | |
| gdc.identifier.openalex | W7076052992 | |
| gdc.index.type | Scopus | |
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| gdc.publishedmonth | Ağustos | |
| gdc.scopus.citedcount | 0 | |
| gdc.virtual.author | Demir, Şeniz | |
| gdc.yokperiod | YÖK - 2024-25 | |
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