research
∙
09/14/2023
Safety-Tuned LLaMAs: Lessons From Improving the Safety of Large Language Models that Follow Instructions
Training large language models to follow instructions makes them perform...
share
research
∙
09/14/2023
Explaining Speech Classification Models via Word-Level Audio Segments and Paralinguistic Features
Recent advances in eXplainable AI (XAI) have provided new insights into ...
research
∙
09/05/2023
Weigh Your Own Words: Improving Hate Speech Counter Narrative Generation via Attention Regularization
Recent computational approaches for combating online hate speech involve...
research
∙
08/02/2023
XSTest: A Test Suite for Identifying Exaggerated Safety Behaviours in Large Language Models
Without proper safeguards, large language models will readily follow mal...
research
∙
06/14/2023
ITALIC: An Italian Intent Classification Dataset
Recent large-scale Spoken Language Understanding datasets focus predomin...
research
∙
04/20/2023
E Pluribus Unum: Guidelines on Multi-Objective Evaluation of Recommender Systems
Recommender Systems today are still mostly evaluated in terms of accurac...
research
∙
10/13/2022
Is It Worth the (Environmental) Cost? Limited Evidence for the Benefits of Diachronic Continuous Training
Language is constantly changing and evolving, leaving language models to...
research
∙
08/02/2022
ferret: a Framework for Benchmarking Explainers on Transformers
Many interpretability tools allow practitioners and researchers to expla...
research
∙
07/12/2022
EvalRS: a Rounded Evaluation of Recommender Systems
Much of the complexity of Recommender Systems (RSs) comes from the fact ...
research
∙
03/17/2022
