ExDoRA: enhancing the transferability of large language models for depression detection using free-text explanations
Few-shot prompting in large language models (LLMs) significantly improves performance across various tasks, including both in-domain and previously unseen natural language tasks, by learning from limited in-context examples. How these examples enhance transferability and contribute to achieving stat...
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| Main Authors: | , , |
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| Format: | Article |
| Language: | English |
| Published: |
Frontiers Media S.A.
2025-05-01
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| Series: | Frontiers in Artificial Intelligence |
| Subjects: | |
| Online Access: | https://www.frontiersin.org/articles/10.3389/frai.2025.1564828/full |
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