April 22, 2024, 4:46 a.m. | Oana Ignat, Gayathri Ganesh Lakshmy, Rada Mihalcea

cs.CL updates on arXiv.org arxiv.org

arXiv:2404.12933v1 Announce Type: new
Abstract: Inspiration is linked to various positive outcomes, such as increased creativity, productivity, and happiness. Although inspiration has great potential, there has been limited effort toward identifying content that is inspiring, as opposed to just engaging or positive. Additionally, most research has concentrated on Western data, with little attention paid to other cultures. This work is the first to study cross-cultural inspiration through machine learning methods. We aim to identify and analyze real and AI-generated cross-cultural …

abstract analysis and analysis arxiv creativity cs.ai cs.cl data detection generated happiness inspiration llm media media data positive productivity research social social media social media data type

Data Engineer

@ Lemon.io | Remote: Europe, LATAM, Canada, UK, Asia, Oceania

Artificial Intelligence – Bioinformatic Expert

@ University of Texas Medical Branch | Galveston, TX

Lead Developer (AI)

@ Cere Network | San Francisco, US

Research Engineer

@ Allora Labs | Remote

Ecosystem Manager

@ Allora Labs | Remote

Founding AI Engineer, Agents

@ Occam AI | New York