This illustrates a widespread problem affecting large language models (LLMs): even when an English-language version passes a safety test, it can still hallucinate dangerous misinformation in other ...

Extended educational sessions that offer attendees the opportunity to learn research methods and techniques from prominent psychological scientists.

This week's YouGov/Sky News/Times voting intention poll has the following headline results: ...

Background Metabolic-associated steatotic liver disease (MASLD) is a prevalent chronic liver disease affecting approximately ...

Background Socioeconomic exposures related to anaemia in Peruvian children have been modelled assuming additive or log-additive relationships, yet such approaches overlook the fact that illness ...

The fight is on for the Gorton and Denton byelection on February 26. It is a three-way contest between Labour, Reform and the ...

Understanding and modelling course evaluation scores in higher education programs is crucial for enhancing and improving student experience and program outputs. This study investigates the influence ...

Abstract: The strict arcsine model of the natural exponential family with cubic variance function is a feasible alternative for statistical analysis of overdispersed count data. Following from this ...

ABSTRACT: This research evaluates the effect of monetary policy rate and exchange rate on inflation across continents using both Frequentist and Bayesian Generalized Additive Mixed Models (GAMMs).

The goal of neurogam is to provide utilities for estimating the onset and offset of time-resolved effects, such as those found in M/EEG, pupillometry, or finger/mouse-tracking data (amongst others).

Predicting performance for large-scale industrial systems—like Google’s Borg compute clusters—has traditionally required extensive domain-specific feature engineering and tabular data representations, ...