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| Autori principali: | , , , , , , , , , |
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| Natura: | Preprint |
| Pubblicazione: |
2024
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| Soggetti: | |
| Accesso online: | https://arxiv.org/abs/2409.18170 |
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| _version_ | 1866916412310683648 |
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| author | Croxford, Emma Gao, Yanjun Pellegrino, Nicholas Wong, Karen K. Wills, Graham First, Elliot Liao, Frank J. Goswami, Cherodeep Patterson, Brian Afshar, Majid |
| author_facet | Croxford, Emma Gao, Yanjun Pellegrino, Nicholas Wong, Karen K. Wills, Graham First, Elliot Liao, Frank J. Goswami, Cherodeep Patterson, Brian Afshar, Majid |
| contents | Large Language Models have advanced clinical Natural Language Generation, creating opportunities to manage the volume of medical text. However, the high-stakes nature of medicine requires reliable evaluation, which remains a challenge. In this narrative review, we assess the current evaluation state for clinical summarization tasks and propose future directions to address the resource constraints of expert human evaluation. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2409_18170 |
| institution | arXiv |
| publishDate | 2024 |
| record_format | arxiv |
| spellingShingle | Evaluation of Large Language Models for Summarization Tasks in the Medical Domain: A Narrative Review Croxford, Emma Gao, Yanjun Pellegrino, Nicholas Wong, Karen K. Wills, Graham First, Elliot Liao, Frank J. Goswami, Cherodeep Patterson, Brian Afshar, Majid Computation and Language Artificial Intelligence Large Language Models have advanced clinical Natural Language Generation, creating opportunities to manage the volume of medical text. However, the high-stakes nature of medicine requires reliable evaluation, which remains a challenge. In this narrative review, we assess the current evaluation state for clinical summarization tasks and propose future directions to address the resource constraints of expert human evaluation. |
| title | Evaluation of Large Language Models for Summarization Tasks in the Medical Domain: A Narrative Review |
| topic | Computation and Language Artificial Intelligence |
| url | https://arxiv.org/abs/2409.18170 |