2024
EMNLP
EMNLP 2024
Creative Problem Solving in Large Language and Vision Models - What Would it Take?
Abstract
AbstractWe advocate for a strong integration of Computational Creativity (CC) with research in large language and vision models (LLVMs) to address a key limitation of these models, i.e., creative problem solving. We present preliminary experiments showing how CC principles can be applied to address this limitation. Our goal is to foster discussions on creative problem solving in LLVMs and CC at prestigious ML venues.
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The Questioner
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Interdisciplinary Bridge
— Artificial Intelligence and Deep Learning and Interdisciplinary and Natural Language Processing
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Cross-Pollinator
— Artificial Intelligence, Computer Science, Computer Vision, Data Science & Analytics, Deep Learning, Healthcare & Medicine, Interdisciplinary, Knowledge & Reasoning, Machine Learning, Mathematics & Optimization, Natural Language Processing, Reinforcement Learning, Robotics, Security & Privacy, Speech & Audio
Authors
Topics
Artificial Intelligence > Core AI > Multimodal Learning
Deep Learning > Models > Generative Models
Natural Language Processing > Resources & Methods > Large Language Models
Interdisciplinary > Cognitive Science
Artificial Intelligence > Core AI > Large Language Models
Artificial Intelligence > Core AI > Reasoning
Artificial Intelligence > Core AI > Multi-Modal Learning