Sticking to the Mean: Detecting Sticky Tokens in Text Embedding Models
"文本嵌入" 相关文章
Evolutionary Feature-wise Thresholding for Binary Representation of NLP Embeddings
现代 AI 知识库基石：文本嵌入、向量数据库与 RAG 原理全解析
ICML 2025 小米×武大｜UBMoE-LLM揭秘：双向微调，让AI既能懂也能说！
Embedding进化论：从Word2Vec到OpenAI三代模型技术跃迁
Qwen3 Embedding: Advancing Text Embedding and Reranking Through Foundation Models
ICML 2025 小米×武大｜UBMoE-LLM揭秘：双向微调，让AI既能懂也能说！
阿里Qwen3一口气开源多个向量&排序模型，冲！
Qwen3 Embedding：通过基础模型推进文本嵌入与重排序(中文翻译)
Qwen3开源最新Embedding模型
Alibaba Qwen Team Releases Qwen3-Embedding and Qwen3-Reranker Series – Redefining Multilingual Embedding and Ranking Standards
科学家验证强柏拉图表征假说，证明所有语言模型都会收敛于相同“通用意义几何”
无需数据配对，文本嵌入也能互通？康奈尔重磅研究：所有模型都殊途同归
无需数据配对，文本嵌入也能互通？康奈尔研究：所有模型殊途同归
Combining minerals and lithology text embeddings for data discovery
Text Embeddings for Rock Classifications
Do text embeddings perfectly encode text?
Build cost-effective RAG applications with Binary Embeddings in Amazon Titan Text Embeddings V2, Amazon OpenSearch Serverless, and Amazon Bedrock Knowledge Bases
Microsoft Asia Research Introduces SPEED: An AI Framework that Aligns Open-Source Small Models (8B) to Efficiently Generate Large-Scale Synthetic Embedding Data
‘bge-en-icl’: A Novel AI Model that Employs Few-Shot Examples to Produce High-Quality Text Embeddings
