arxiv
PublishedMay 16, 2026 at 4:00 AM
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PEML: Parameter-efficient Multi-Task Learning with Optimized Continuous Prompts
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arXiv:2605.14055v1 Announce Type: cross Abstract: Parameter-Efficient Fine-Tuning (PEFT) is widely used for adapting Large Language Models (LLMs) for various tasks. Recently, there has been an increasing demand for fine-tuning a single LLM for multiple tasks because it requires overall less data for
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Originally published on arxiv ↗