Investigating the Impact of Data Contamination of Large Language Models in Text-to-SQL translation

Data and code for "Measuring bias in Instruction-Following models with P-AT"

This repository contains the code of the paper: PreCog: Exploring the Relation between Memorization and Performance in Pre-trained Language Models

This repository contains the code of the paper: The Dark Side of the Language: Pre-trained Transformers in the DarkNet

This repository contains the code of the paper: Are All Languages Equal? Curriculum Learning over Different Languages

🐸 KERMIT - A lightweight library to encode and interpret Universal Syntactic Embeddings

KERM-HATE push forward the research on how syntactic information can be used to de-bias hate speech recognizers and so to contribute to solve problems of prejudice.