2 citations · 2 across the 4 of their papers we have counts for
4 papers
Meta Knowledge for Retrieval Augmented Large Language Models
Laurent Mombaerts, Terry Ding, Adi Banerjee +3
Retrieval Augmented Generation (RAG) is a technique used to augment Large Language Models (LLMs) with contextually relevant, time-critical, or domain-specific information without a…
AI for Handball: predicting and explaining the 2024 Olympic Games tournament with Deep Learning and Large Language Models
Florian Felice
Over summer 2024, the world will be looking at Paris to encourage their favorite athletes win the Olympic gold medal. In handball, few nations will fight hard to win the precious m…
Prediction of Handball Matches with Statistically Enhanced Learning via Estimated Team Strengths
Florian Felice, Christophe Ley
We propose a Statistically Enhanced Learning (aka. SEL) model to predict handball games. Our Machine Learning model augmented with SEL features outperforms state-of-the-art models…
Ranking Handball Teams from Statistical Strength Estimation
Florian Felice
In this work, we present a methodology to estimate the strength of handball teams using a statistical method. We propose the use of the Conway-Maxwell-Poisson distribution to model…