Had you queried DeepSeek, a Chinese AI, however, you would have got quite different advice. “Seek compromise,” it suggests, ...

Why AI agents stall in production: fine-tuning forgets, RAG leaks context. Hypernetworks generate a task-specific model from your policies at inference time.

Social communication occurs in an almost infinite number of contexts. There are the engrossing conversations you have with those you know and love, and the ones with relative strangers whose ...

Objective Relational continuity of care is associated with better patient experience and health outcomes. In England, relational continuity of primary care has been declining over a decade, coinciding ...

A nursing engagement initiative in a UK emergency department addressed the problems of low staff engagement, high turnover and emotional exhaustion in the aftermath of the Covid-19 pandemic. Grounded ...

This repository contains the code to reproduce the experiments presented in the paper "Relational Conformal Prediction for Correlated Time Series". This project uses the Hydra library to handle the ...

This post continues the series from the Adjoint School of Applied Category Theory 2022. It is a summary of the main ideas introduced in this paper: Filippo Bonchi, Dusko Pavlovic and Pawel Sobocinski, ...

Abstract: We introduce and evaluate a technique to tackle relational learning tasks combining a framework for mining relational queries with a hierarchical Bayesian model. We present the novel rsLDA ...

This repository implements our EMNLP 2022 research paper. HyperRED is a dataset for the new task of hyper-relational extraction, which extracts relation triplets together with qualifier information ...