Papers by Sungho Jang

1 papers
PLEX: Adaptive Parameter-Efficient Fine-Tuning for Code LLMs using Lottery-Tickets (2025.naacl-industry)

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Challenge: PLEX is a lottery-ticket based parameter-efficient fine-tuning method that adapts large language models to well-supported and underrepresented programming languages (PLs) in pretraining.
Approach: They propose a lottery-ticket based parameter-efficient fine-tuning method that adapts large language models to well-supported and underrepresented programming languages (PLs)
Outcome: The proposed method achieves state-of-the-art performance among PEFT methods while maintaining competitive results with reduced computational overhead.

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