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BitNet Text Embeddings
BitNet二值化网络实现高效文本嵌入，为资源受限场景提供轻量级NLP新方案。
arXiv:2606.25674v1 Announce Type: new Abstract: LLM-based text embedders have substantially improved retrieval and semantic representation quality, bu…
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ReverseEOL: Improving Training-free Text Embeddings via Text Reversal in Decoder-only LLMs
无需训练，仅通过反转输入文本，就能显著提升解码器LLM的文本嵌入质量。
arXiv:2606.05858v1 Announce Type: new Abstract: Recent advances in Large Language Models (LLMs) have opened new avenues for generating training-free t…
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PromptEmbedder:: Efficient and Transferable Text Embedding via Dual-LLM Soft Prompting
双LLM软提示新框架实现高效文本嵌入，迁移性更强、计算成本更低，值得NLP研究者关注
arXiv:2605.28066v1 Announce Type: cross Abstract: Large Language Models (LLMs) have demonstrated remarkable efficacy in text embedding, yet current ad…
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Show HN: IgniteMS – batch text embeddings at 253K msg/s on 8x A100
将文本嵌入批处理速度提升至25万条/秒，比Hugging Face TEI快3倍，开源且支持生产环境调优。
Article URL: https://github.com/Artain-AI/ignite-ms Comments URL: https://news.ycombinator.com/item?id=48210818 Points: 2 # Comments: 0
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Text and code embeddings by contrastive pre-training
OpenAI对比预训练方法，学习文本与代码的高质量嵌入表示
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Privacy Policy Enforcement Guardrails for Data-Sensitive Retrieval-Augmented Generation
针对RAG系统数据泄露，提出隐私政策执行（PPE）框架，用双密度估计器与嵌入融合检测非规则属性聚类。
arXiv:2605.17034v1 Announce Type: new Abstract: Standard PII filters often miss contextual data leakage in RAG systems, such as non-regulated attribut…