原因1：过往研究证明decoder-only泛化化性能更好Google有两篇著名的发表于ICML’22的论文，一个是《Examining Scaling and Transfer of Language Model Architectures for Machine Translation》，另一个是《What Language Model Architecture and Pretraining Objective Work Best for Zero-Shot Generalization?》，两篇论文...
通过这两个示例，可以得知双向注意力矩阵最大为满秩，也有可能不为满秩。但是，并不是说双向就一定是...
理论分析没有满意结果,那不妨实际对比一下,正好看到知乎上其他几位答主提到了这篇2022年的论文[8]:What Language Model Architecture and Pretraining Objective Work Best for Zero-Shot Generalization? 这篇论文真是大手笔,在50亿参数1700亿tokens预训练的模型上排列组合做了各种对比实验,有钱任性。论文背景是目前...
论文链接 语音#语音#语音识别 1 浏览(452) (1)
Efficient encoder-decoder architecture for small language models (≤1B parameters) with cross-architecture knowledge distillation and vision-language capabilities encoder-decoder vision-and-language llm decoder-only Updated Feb 7, 2025 Python cisnlp / MEXA Star 10 Code Issues Pull requests 🔍 ...
A natural question to ask is: which architecture is the best choice. According to previous studies, when the amount of training dataset is sufficient, using the full Transformer is the priority choice for NLG tasks. However, for the insufficient training dataset setting, we find this is not ...
Apart from the various interesting features of this model, one feature that catches the attention is its decoder-only architecture. In fact, not just PaLM, some of the most popular and widely used language models are decoder-only.
Despite the significant advancements in applying language models to the seq2seq task, there is still a lack of thorough analysis on the effectiveness of the decoder-only language model architecture. This paper aims to address this gap by conducting a detailed comparison between the encoder-decoder ...
Furu Wei NeurIPS 2024|May 2024 Publication|Publication 下载BibTex We introduce a decoder-decoder architecture, YOCO, for large language models, which only caches key-value pairs once. It consists of two components, i.e., a cross-decoder stacked upon a self-decoder. The s...
Large language models (LLMs) have achieved remarkable success in the field of natural language processing, enabling better human-computer interaction using natural language. However, the seamless integration of speech signals into LLMs has not been explored well. The "decoder-only" architecture has ...