most citedA Guide To Effectively Leveraging LLMs for Low-Resource Text Summarization: Data Augmentation and Semi-supervised Approaches

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cs.CL2025

Between Predictability and Randomness: Seeking Artistic Inspiration from AI Generative Models

Olga Vechtomova

Artistic inspiration often emerges from language that is open to interpretation. This paper explores the use of AI-generated poetic lines as stimuli for creativity. Through analysi…

cs.CL2024★ 1 cited

A Guide To Effectively Leveraging LLMs for Low-Resource Text Summarization: Data Augmentation and Semi-supervised Approaches

Gaurav Sahu, Olga Vechtomova, Issam H. Laradji

Existing approaches for low-resource text summarization primarily employ large language models (LLMs) like GPT-3 or GPT-4 at inference time to generate summaries directly; however,…