Zobrazeno 1 - 6
of 6
pro vyhledávání: '"Coppolillo, Erica"'
Large Language Models (LLMs) exhibit significant persuasion capabilities in one-on-one interactions, but their influence within social networks remains underexplored. This study investigates the potential social impact of LLMs in these environments,
Externí odkaz:
http://arxiv.org/abs/2411.13187
Autor:
Coppolillo, Erica, Mungari, Simone, Ritacco, Ettore, Fabbri, Francesco, Minici, Marco, Bonchi, Francesco, Manco, Giuseppe
Digital platforms such as social media and e-commerce websites adopt Recommender Systems to provide value to the user. However, the social consequences deriving from their adoption are still unclear. Many scholars argue that recommenders may lead to
Externí odkaz:
http://arxiv.org/abs/2409.16478
Providing recommendations that are both relevant and diverse is a key consideration of modern recommender systems. Optimizing both of these measures presents a fundamental trade-off, as higher diversity typically comes at the cost of relevance, resul
Externí odkaz:
http://arxiv.org/abs/2408.03772
Recently, Large Language Models (LLMs) have showcased their potential in various natural language processing tasks, including code generation. However, while significant progress has been made in adapting LLMs to generate code for several imperative
Externí odkaz:
http://arxiv.org/abs/2407.18723
The scarcity of realistic datasets poses a significant challenge in benchmarking recommender systems and social network analysis methods and techniques. A common and effective solution is to generate synthetic data that simulates realistic interactio
Externí odkaz:
http://arxiv.org/abs/2407.16594
Akademický článek
Tento výsledek nelze pro nepřihlášené uživatele zobrazit.
K zobrazení výsledku je třeba se přihlásit.
K zobrazení výsledku je třeba se přihlásit.