arxiv
PublishedMay 16, 2026 at 4:00 AM
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TiTok: Transfer Token-level Knowledge via Contrastive Excess to Transplant LoRA
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arXiv:2510.04682v3 Announce Type: replace-cross Abstract: Large Language Models (LLMs) are widely applied in real world scenarios, yet fine-tuning them comes with significant computational and storage costs. Parameter-Efficient Fine-Tuning (PEFT) methods such as LoRA mitigate these costs; however, t
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