PromptEmbedder:: Efficient and Transferable Text Embedding via Dual-LLM Soft Prompting 事件

PromptEmbedder:: Efficient and Transferable Text Embedding via Dual-LLM Soft Prompting arXiv:2605.28066v1 Announce Type: new Abstract: Large Language Models (LLMs) have demonstrated remarkable efficacy in text embedding, yet current adaptation methods like LoRA face significant bottlenecks in computational efficiency and cross-architecture transferability. Whenever a new backbone emerges, existing approaches require costly retraining from scratch. To address this, we propose PromptEmbedder, a n