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contrastive learning 1knowledge graph retrieval 1LLM prompting 1multi-hop retrieval 1query-triplet alignment 1

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cs.CL2024

BIPEFT: Budget-Guided Iterative Search for Parameter Efficient Fine-Tuning of Large Pretrained Language Models

Aofei Chang, Jiaqi Wang, Han Liu +4

Parameter Efficient Fine-Tuning (PEFT) offers an efficient solution for fine-tuning large pretrained language models for downstream tasks. However, most PEFT strategies are manuall…