Evaluating Large Language Models on Academic Literature Understanding and Review: An Empirical Study among Early-stage Scholars

J Wang, H Hu, Z Wang, S Yan, Y Sheng… - Proceedings of the CHI …, 2024 - dl.acm.org
The rapid advancement of large language models (LLMs) such as ChatGPT makes LLM-
based academic tools possible. However, little research has empirically evaluated how …

When Young Scholars Cooperate with LLMs in Academic Tasks: The Influence of Individual Differences and Task Complexities

J Wang, C Huang, S Yan, W Xie… - International Journal of …, 2024 - Taylor & Francis
As a novel AI-powered conversational system, large language models (LLMs) have the
potential to be used in various applications. Recent advances in LLMs like ChatGPT have …

Valid standard errors for Bayesian quantile regression with clustered and independent data

F Ji, JH Lee, S Rabe-Hesketh - arXiv preprint arXiv:2407.09772, 2024 - arxiv.org
In Bayesian quantile regression, the most commonly used likelihood is the asymmetric
Laplace (AL) likelihood. The reason for this choice is not that it is a plausible data …

Training to support appropriate reliance on advanced driver assistance systems

CA DeGuzman - 2023 - search.proquest.com
Advanced driver assistance systems (ADAS) are becoming more widely available to
consumers. While these systems have potential safety benefits, overreliance on ADAS has …

Lightweight Automated Vehicle Simulator for Studying Drivers Reactions in Real Scenarios

M Bendahmane, L Ribas Xirgo - 2024 - rua.ua.es
Traffic reports, naturalistic observations and in-lab tests are carried out to determine the
influence of driver's distractions in car crashes and to develop technology to detect and …

Partially Automated Vehicle Simulation for Studying Driver Distraction in Real Scenarios

M Bendahmane, L Ribas-Xirgo - 2024 - preprints.org
Driver's distractions are more prone to occur with automated driving vehicles, which might
turn into cancelling some of their advantages. Traffic reports, naturalistic observations and in …