15 citations · 20 across the 10 of their papers we have counts for
3 papers · 1 filter
An Interdisciplinary Outlook on Large Language Models for Scientific Research
James Boyko, Joseph Cohen, Nathan Fox +9
In this paper, we describe the capabilities and constraints of Large Language Models (LLMs) within disparate academic disciplines, aiming to delineate their strengths and limitatio…
What is a Labor Market? Classifying Workers and Jobs Using Network Theory
Jamie Fogel, Bernardo Modenesi
This paper develops a new data-driven approach to characterizing latent worker skill and job task heterogeneity by applying an empirical tool from network theory to large-scale Bra…
Evaluating Explainability in Machine Learning Predictions through Explainer-Agnostic Metrics
Cristian Munoz, Kleyton da Costa, Bernardo Modenesi +1
The rapid integration of artificial intelligence (AI) into various industries has introduced new challenges in governance and regulation, particularly regarding the understanding o…