EDEXCELEDEXCEL CERTIFICATECERTIFICATE ((igcseigcse)ENGLISHLANGUAGE)ENGLISHLANGUAGE PAPER1PAPER1 Thoughtsonapproachingthepaper JonathanPeelSGS2013 MAY2012sampleMAY2012sample materialmaterial •Theexamis2hours15minuteslong •Youareadvisedtospend45minutesoneachof thethreesections–youmustwatchyourtime! •Youshould...
Source data are provided in this paper. Code availability ChatGPT Advanced Data Analysis (previously known as “Code Interpreter”) was utilized for analyses and may be accessed via https://chat.openai.com for ChatGPT Plus users. Source codes for training, evaluating, and optimizing the ML ...
Code for reproducing the ACL'23 paper: Don't Generate, Discriminate: A Proposal for Grounding Language Models to Real-World Environments - GitHub - dki-lab/Pangu: Code for reproducing the ACL'23 paper: Don't Generate, Discriminate: A Proposal for Ground
Have a look at our paper ProtTrans: cracking the language of life’s code through self-supervised deep learning and high performance computing for more information about our work. This repository will be updated regulary with new pre-trained models for proteins as part of supporting bioinformatics...
A recent working paper from the National Bureau of Economic Research reviewed those theories and put forward additional hypotheses about the causes of the problem. Let's look at that paper now.[17] First, the researchers considered...
In this paper, we reason that self-evaluations vary in at least two broad ways that may be described as eithervalue-ladenorusage-based. Accordingly, some self-evaluations prompt people (implicitly or explicitly) to evaluate their performance for a specific functional dimension (e.g. how proficien...
This paper introduces ERASE, which instead improves model behavior when new documents are acquired, by incrementally deleting or rewriting other entries in the knowledge base each time a document is added. In two new benchmark datasets evaluating models' ability to answer questions about a stream ...
This paper investigates how the semantic structure of one English word depends on, and reflects, our models of relevant areas of experience. As a linguist, my original concern was with the problems posed by the word lie for traditional semantic theories; but these problems led inexorably to the...
In this paper, we develop an explanation of one very prominent semantic universal, the monotonicity universal. While the existing work has shown that quantifiers satisfying the monotonicity universal are easier to learn, we provide a more complete explanation by considering the emergence of quantifiers...