Soda Marem Lo is a PhD student at the beginning of her 3rd year, and she will talk about one of her latest works called “I’m sure you’re a real scholar yourself: Exploring Ironic Content Generation by Large Language Models.”
Join us if you’re interested in learning more about the ability of LLMs to generate ironic content!
Abstract:
Generating ironic content is challenging: it requires a nuanced understanding of context and implicit references and balancing seriousness and playfulness. Moreover, irony is highly subjective and can depend on various factors, such as social, cultural, or generational aspects. This paper explores whether Large Language Models (LLMs) can learn to generate ironic responses to social media posts. To do so, we fine-tune two models to generate ironic and non-ironic content and deeply analyze their outputs’ linguistic characteristics, their connection to the original post, and their similarity to the human-written replies. We also conduct a large-scale human evaluation of the outputs. Additionally, we investigate whether LLMs can learn a form of irony tied to a generational perspective, with mixed results
When: 8/11/2024 11.30
Where: Sala Riunioni (1st floor)