Bi-encoder和Cross-encoder是在自然语言理解任务模型的两种不同方法,在信息检索和相似性搜索二者的使用更为广泛。在LLM大火的今天,RAG的pipe line中这两个模块作为提升检索精度的模块更是备受瞩目。 使用哪个: Bi-encoder:当您拥有大规模数据集和计算资源时,使用Bi-encoder。由于相似性得分可以独立计算,它们在推理期间...
虽然Cross-Encoder在准确性方面通常优于Bi-Encoder,但Bi-Encoder在处理句子嵌入方面具有明显优势,且在某些情况下,如需要高效处理大量文档时,Bi-Encoder可能是更优的选择。因此,在实际应用中,应根据具体需求和可用资源来决定使用哪种编码器类型。 如何结合Bi-Encoder和Cross-Encoder以获得最佳的句子相似度计算结果?
此外,还有文本分类、情感分析等下游任务需要先把文本的embedding求出来,这些功能都能通过"双塔结构"(Bi-Encoder)实现!核心思路很简单:用两个不同的encoder分别求出query的embedding和answer的embedding,然后求两种embedding之间的距离(cosin或dot product都行),找到距离topK的embedding作为最合适的answer即可!存储和查找topK...
该论文给出了一个颇为有趣的在NLP的sentence相似度学习上,如何同时自监督的去训练出效果SOTA的Bi-Encoder和Cross-Encoder。 背景知识 首先,我们简单的介绍下概念:所谓Bi-Encoder,先分别计算两个句子的特征,然后计算特征的相似度 (比如cosine similarity);而Cross-Encoder,是将两句话一起输入模型,可以直接输出两个句子...
Bi-EncoderCross-Encoder主要功能两个句子分别传入,分别输出Embedding向量,计算两个向量的余弦相似度最为两个句子的相似度两个句子同时传入,输出一个...
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In contrast, the efficient but not effective model, Bi-Encoder(BE), encodes texts and images separately, achieving an O(N) encoding complexity. Thus, to fulfill the potential of CE, we propose an Asymmetric Bi-Encoder(ABE) approach, which is a combination of CE and BE. For image-to-...
Bi-encoder vs Cross encoder? When to use which one? | 一只特立独行的猪 #45 Open Wanger-SJTU opened this issue Jun 2, 2024· 0 comments Comments Owner Wanger-SJTU commented Jun 2, 2024 https://wanger-sjtu.github.io/encoder-cross-bi/ Wanger-SJTU added Gitalk 00b3bb178817a706ffc...
论文阅读:Bi-encoder Transformer Network for Mandarin-English Code-switching Speech Recognition using Mix,程序员大本营,技术文章内容聚合第一站。
A BERT-based Neural Ranking Model (NRM) can be either a crossencoder or a bi-encoder. Between the two, bi-encoder is highly efficient because all the documents can be pre-processed before the actual query time. In this work, we show two approaches for improving the performance of BERT-ba...