Aug 6, 2024 · In this study, we propose an innovative approach that blends these worlds by abstracting conversational networks via hypergraphs and analyzing their dynamics ...

Jun 13, 2024 · Our aim is to enhance the stance detection task by incorporating the high-order interactions naturally embedded within a conversation, thereby ...

This paper presented a novel approach to leverage LLMs to address the stance detection task within online social media conversations modeled as hypergraphs.

Jun 16, 2024 · Deciphering Conversational Networks: Stance Detection via Hypergraphs and LLMs ; Alessia Antelmi at Università degli Studi di Torino · Alessia ...

Co-authors ; Deciphering Conversational Networks: Stance Detection via Hypergraphs and LLMs. D De Vinco, A Antelmi, C Spagnuolo, LM Aiello. Companion Publication ...

Deciphering Conversational Networks: Stance Detection via Hypergraphs and LLMs · Daniele De Vinco, Alessia Antelmi, Carmine Spagnuolo, Luca Maria Aiello.

Deciphering Conversational Networks: Stance Detection via Hypergraphs and LLMs. ... Analyzing, Exploring, and Visualizing Complex Networks via Hypergraphs using ...

... Detection on Online Social Networks through Correlation Clustering ... Deciphering Conversational Networks: Stance Detection via Hypergraphs and LLMs

Deciphering Conversational Networks: Stance Detection via Hypergraphs and LLMs ... Analyzing, exploring, and visualizing complex networks via hypergraphs using ...

... Networks: An In-Depth and Step-By-Step Guide." 44, no. : 6534-6544. Other. Deciphering Conversational Networks: Stance Detection via Hypergraphs and LLMs.