June 2023: Paper 2: Writer's Viewpoints and Perspectives (8700/2) Download Insert-Download Past Paper-Download Mark Scheme November 2022 AQA GCSE (9-1) English Language (8700) Past Exam Papers November 2022: Paper 1: Explorations in Creative Reading and Writing (8...
Published on 20 May 2023 Special Submissions Abstract | This paper examines the theme of gender in Ernest Hemingway’s The Garden of Eden and James Baldwin’s Giovanni’s Room. Both expatriate artists interrogate in their novels an American gendered identity tied to innocence and trauma in histori...
2023-11We preprint our paperKnowledgeable Preference Alignment for LLMs in Domain-specific Question Answeringand release the [Repo]. 2023-10We preprint our paperMaking Large Language Models Perform Better in Knowledge Graph Completionand release the [Repo]. 2023-06We create this repository to maintai...
Paper 1: 1EN2/01English Language 2.0 - Non Fiction Texts Download Paper–Download Mark Scheme Paper 2: 1EN2/02English Language 2.0 - Contemporary Texts Download Paper–Download Mark Scheme November 2022 Pearson Edexcel GCSE (9-1) English Language Past Papers (...
In this paper, we present the results of a large cross-linguistic analysis of written language that we conducted to test the equi-complexity hypothesis which assumes that all languages are (in some sense) equally complex. We operationalized our key quantity of interest, prediction complexity \(F...
The full prompting scheme, experimental setup and tabular results are provided in the Supplementary Methods. Evaluating language models on open-source benchmarks We evaluated our models’ performance on general language and specific medical tasks using open-source benchmarks to assess their capability ...
89.4% accuracy on the RACE benchmark; 89.4 score on the GLUE benchmark; and An F1 score of 92.2 on the SQuAD 2.0 benchmark. What does the AI community think? The paper has been submitted to ICLR 2020 and is available on theOpenReview forum, where you can see the reviews and comments...
DiVeRSe has three main components: first, it generates diverse prompts to explore different reasoning paths for the same question; second, it uses a verifier to filter out incorrect answers based on a weighted voting scheme; and third, it verifies each reasoning step individually instead of the ...
where pj denotes the language model, xi denotes the wild-type residue and α = 1. To further filter substitutions to only those with the highest likelihood, we choose substitutions based on a consensus scheme, where, for a new amino acid \(x_i^\prime\), we compute $$f\left( {x...
In this paper, we take user id and item id as the input to generate explanations for the recommendations by leveraging the PLMs. The proposed learning scheme jointly trains the rating prediction task and explanation generation task. The rating prediction task learns the predictive representation from...