3. 特征融合的门控机制 (Gated Feature Fusion) 核心创新:在 Slope 和 Decay 部分中,使用门控机制动态调节特征重要性。门控机制通过非线性激活函数(如 SiLU 或 GeLU)对当前和历史特征进行权重调整。融合方式:通过逐元素点乘,将历史特征与当前特征有效结合。 意义: 门控机制提供了一种动态、细粒度的特征选择方式,...
Noisy-Channel Model 利用贝叶斯公式: 其中PTM(⋅)和PLM(⋅)分别是TM和LM的模型概率。显然,这是一个generative model。 Shallow Fusion NMT(RNNSearch)使用的是discriminative model,直接学习分布P(y|x),因此不能直接使用贝叶斯公式。一种简单的方法是直接在infer时加入LM的概率分布,从 ...
Model fusion is a technique of growing interest in the field of machine learning, which constructs a generalized model by merging the parameters of multiple independent models with different capabilities without the need to access the original training data or perform costly computations. However, ...
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PUBLICATIONFILTER: An Enhanced Fusion Method for Cross-lingual Language Understanding Universal Language Representation PUBLICATIONTowards Language Agnostic Universal Representations The Microsoft Turing team has long believed that language representation should be universal. In thispaper, pub...
Neural Machine Translation (NMT) can be used to generate fluent output. As such, language models have been investigated for incorporation with NMT. In prior investigations, two models have been used: a translation model and a language model. The translat
sciences. Although we have not compared these approaches directly (which would require more medical text or fusion with general-domain text for training a compute-optimal model26), we believe that this could be an interesting future direction for research and that, in the end, approaches ...
ModelFusion Typescript Library OllamaKit for Swift Ollama for Dart Ollama for Laravel LangChainDart Semantic Kernel - Python Haystack Elixir LangChain Ollama for R - rollama Ollama for R - ollama-r Ollama-ex for Elixir Ollama Connector for SAP ABAP ...
从上图中可以看出连接器有三种形式:projection-based、query-based、fusion-based connectors(第三种是使用MHA多头注意力) 例如,MM1 [7] 通过实验发现,连接器的类型不如视觉 token 数量(决定之后 LLM 可用的视觉信息)及图片的分辨率(决定视觉编码器的输入信息量)重要。
为何要引入RNN-based Language Model呢? 就是为了处理N-gram中N很大的情况。 结构如下: 6. 如何将Language Model与LAS模型想结合呢? 前面提到,Language Model是可以作为任务的一个后处理、可插拔模块进行灵活使用的。那么针对LAS模型,如何将Language Model与LAS模型相结合呢? a) Shallow Fusion: Shallow Fusion就...