Papers by Cho Jung Min

1 papers
Multi-Task Pre-Finetuning of Lightweight Transformer Encoders for Text Classification and NER (2025.emnlp-industry)

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Challenge: nave multitask pre-finetuning introduces conflicting optimization signals that degrade overall performance.
Approach: They propose a framework that enables a single shared encoder backbone with modular adapters.
Outcome: The proposed framework achieves comparable performance to individual pre-finetuning while meeting practical deployment constraint.

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