Attention Is Off By One Efficient Streaming Language Models with Attention Sinks Vision Transformer Need Registers StableMask Transformers Need Glasses 此笔记尝试从几篇比较经典的LLMs量化文章出发和从可解释性的角度去理解Transformer架构中存在的Outlier(离群值)问题 Understanding and Overcoming the Challenges of...
Stemming is a text preprocessing technique innatural language processing(NLP). Specifically, it is the process of reducing inflected form of a word to one so-called “stem,” or root form, also known as a “lemma” in linguistics.1It is one of two primary methods—the other beinglemmatizati...
The connectedness of the graph is reflected in average degrees, graph density, and size of the largest connected component. The degree of organization in the graph can be measured by comparing the statistical similarity of graph features to randomly generated graphs of the same size. Sequential ...
LDA’s imagined generative text process begins with pre-document topics. Each topic is fixed vocabulary of words, in which each word has a probability that it belongs to that topic. Note that words are assigned probabilities rather than a discrete category to account for potential plurality of m...
Once the script is started, it asks you to specify the path of your model checkpoint. Note: If you want to change the system configuration, you need to move in the ner4el/conf folder and change the parameters of your interest. As an example, if you move to the data configuration file...
A large language model (LLM) is a deep learning model designed to understand, translate, and generate humanlike language. LLMs are trained on enormous amounts of public domain data with millions or billions of parameters, which enables the text it generates to sound like a human wrote it. ...
Herbelot, Aur´elie. 2013. What is in a text, what isn't, and what this has to do with lexical semantics. In Proceedings of the Tenth International Con- ference on Computational Semantics (IWCS2013). Potsdam, Germany. https://www.aclweb.org/anthology/W/W13/W13-0204.pdf....
Artificial writing is permeating our lives due to recent advances in large-scale, transformer-based language models (LMs) such as BERT, GPT-2 and GPT-3. Using them as pre-trained models and fine-tuning them for specific tasks, researchers have extended t
I found that the wordpiece training and the sentencepiece training in the blog are almost the same. So, Can I think of a sentencepiece as a wordpiece? If not, what is the difference between the two? Thank you !! Author iamxiaoyubeicommentedMay 30, 2019• ...
论文:aclanthology.org/2023.a 问题:推理能力随着规模并没有增强很多 转折点:论文“Chain-of-Thought(CoT)prompting Elicits Reasoning in Large Language Models” Abstract 论文的motivation 发现:即使给模型完全错误的中间步骤,模型最终结果基本不会变,模型推理能力还是存在的 Introduction 模型有两种较强的涌现能力(“...