Preserving Zero-shot Capability in Supervised Fine-tuning for Multi-label Text Classification

Sian Chen; Hsuan-Tien Lin; Chih‐Jen Lin

doi:10.18653/v1/2025.findings-naacl.315

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JOURNAL ARTICLE

Preserving Zero-shot Capability in Supervised Fine-tuning for Multi-label Text Classification

Sian Chen Hsuan-Tien Lin Chih‐Jen Lin

Year: 2025 Pages: 5699-5712

DOI: 10.18653/v1/2025.findings-naacl.315

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Keywords:

Computer science Zero (linguistics) Shot (pellet) Artificial intelligence Multi-label classification Pattern recognition (psychology) Materials science

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Text and Document Classification Technologies

Physical Sciences → Computer Science → Artificial Intelligence

Preserving Zero-shot Capability in Supervised Fine-tuning for Multi-label Text Classification

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