81 citations · 233 across the 22 of their papers we have counts for
25 papers
Echoes of Deeds: Moral History Can Shape and Steer LLM Behavioral Choices
Lucio La Cava, Andrea Tagarelli
Evaluations of Large Language Models (LLMs) morality typically consider decisions in isolation, thus overlooking whether an individual's unrelated prior conduct influences the mode…
On the Effects of Decentralized Moderation on Network Robustness and Information Diffusion in Mastodon
Beatriz Arregui-García, Lucio La Cava, Anees Baqir +3
Decentralized online social networks such as Mastodon distribute moderation power across thousands of independently governed servers, raising fundamental questions about how local…
Learning Perspectivist Social Meaning via Demographic-Conditioned Fusion Embeddings
Amanda Cercas Curry, Lucio La Cava, Luca Maria Aiello +1
Social meaning in language is inherently perspectival, varying across annotator backgrounds, demographics, and ideological positions. However, most NLP systems collapse this variat…
Political Persuasion and Endorsement in Large Language Models
Alessia Antelmi, Alessia Galdeman, Lucio La Cava +2
Large Language Models (LLMs) are increasingly employed as proxies for human behavior in computational social science. However, their tendency to internalize biases from training da…
Double Rectified Linear Unit-based Modular Semantics for Quantitative Bipolar Argumentation Framework
Gianvincenzo Alfano, Sergio Greco, Lucio La Cava +2
Quantitative Bipolar Argumentation Frameworks (QBAFs) provide an alternative approach to computing argument acceptability in Bipolar Argumentation Frameworks (BAFs). Each argument…
Luminol-AIDetect: Fast Zero-shot Machine-Generated Text Detection based on Perplexity under Text Shuffling
Lucio La Cava, Andrea Tagarelli
Machine-generated text (MGT) detection requires identifying structurally invariant signals across generation models, rather than relying on model-specific fingerprints. In this res…
LLM-based Argument Mining meets Argumentation and Description Logics: a Unified Framework for Reasoning about Debates
Gianvincenzo Alfano, Sergio Greco, Lucio La Cava +2
Large Language Models (LLMs) achieve strong performance in analyzing and generating text, yet they struggle with explicit, transparent, and verifiable reasoning over complex texts…
Culturally Grounded Personas in Large Language Models: Characterization and Alignment with Socio-Psychological Value Frameworks
Candida M. Greco, Lucio La Cava, Andrea Tagarelli
Despite the growing utility of Large Language Models (LLMs) for simulating human behavior, the extent to which these synthetic personas accurately reflect world and moral value sys…
Machines in the Crowd? Measuring the Footprint of Machine-Generated Text on Reddit
Lucio La Cava, Luca Maria Aiello, Andrea Tagarelli
Generative Artificial Intelligence is reshaping online communication by enabling large-scale production of Machine-Generated Text (MGT) at low cost. While its presence is rapidly g…
Toward Preference-aligned Large Language Models via Residual-based Model Steering
Lucio La Cava, Andrea Tagarelli
Preference alignment is a critical step in making Large Language Models (LLMs) useful and aligned with (human) preferences. Existing approaches such as Reinforcement Learning from…
Authorship Attribution in Multilingual Machine-Generated Texts
Lucio La Cava, Dominik Macko, Róbert Móro +2
As Large Language Models (LLMs) have reached human-like fluency and coherence, distinguishing machine-generated text (MGT) from human-written content becomes increasingly difficult…
OpenTuringBench: An Open-Model-based Benchmark and Framework for Machine-Generated Text Detection and Attribution
Lucio La Cava, Andrea Tagarelli
Open Large Language Models (OLLMs) are increasingly leveraged in generative AI applications, posing new challenges for detecting their outputs. We propose OpenTuringBench, a new be…
Heuristic-Informed Mixture of Experts for Link Prediction in Multilayer Networks
Lucio La Cava, Domenico Mandaglio, Lorenzo Zangari +1
Link prediction algorithms for multilayer networks are in principle required to effectively account for the entire layered structure while capturing the unique contexts offered by…
Safeguarding Decentralized Social Media: LLM Agents for Automating Community Rule Compliance
Lucio La Cava, Andrea Tagarelli
Ensuring content compliance with community guidelines is crucial for maintaining healthy online social environments. However, traditional human-based compliance checking struggles…
Is Contrasting All You Need? Contrastive Learning for the Detection and Attribution of AI-generated Text
Lucio La Cava, Davide Costa, Andrea Tagarelli
The significant progress in the development of Large Language Models has contributed to blurring the distinction between human and AI-generated text. The increasing pervasiveness o…
Finding Hidden Swing Voters in the 2022 Italian Elections Twitter Discourse
Alessia Antelmi, Lucio La Cava, Arianna Pera
The global proliferation of social media platforms has transformed political communication, making the study of online interactions between politicians and voters crucial for under…
Talking the Talk Does Not Entail Walking the Walk: On the Limits of Large Language Models in Lexical Entailment Recognition
Candida M. Greco, Lucio La Cava, Andrea Tagarelli
Verbs form the backbone of language, providing the structure and meaning to sentences. Yet, their intricate semantic nuances pose a longstanding challenge. Understanding verb relat…
Quantifying the impact of persuasiveness, cautiousness and prior beliefs in (mis)information sharing on online social networks using Drift Diffusion Models
Lucila G. Alvarez-Zuzek, Lucio La Cava, Jelena Grujic +1
Misleading newsletters can shape individuals' perceptions, and pose a threat to societies; as we witnessed by lowering the severity of follow-up stay-at-home orders and burdening a…
Open Models, Closed Minds? On Agents Capabilities in Mimicking Human Personalities through Open Large Language Models
Lucio La Cava, Andrea Tagarelli
The emergence of unveiling human-like behaviors in Large Language Models (LLMs) has led to a closer connection between NLP and human psychology. Scholars have been studying the inh…
Polarization in Decentralized Online Social Networks
Lucio La Cava, Domenico Mandaglio, Andrea Tagarelli
Centralized social media platforms are currently experiencing a shift in user engagement, drawing attention to alternative paradigms like Decentralized Online Social Networks (DOSN…
Drivers of social influence in the Twitter migration to Mastodon
Lucio La Cava, Luca Maria Aiello, Andrea Tagarelli
The migration of Twitter users to Mastodon following Elon Musk's acquisition presents a unique opportunity to study collective behavior and gain insights into the drivers of coordi…
Visually Wired NFTs: Exploring the Role of Inspiration in Non-Fungible Tokens
Lucio La Cava, Davide Costa, Andrea Tagarelli
The fervor for Non-Fungible Tokens (NFTs) attracted countless creators, leading to a Big Bang of digital assets driven by latent or explicit forms of inspiration, as in many creati…
Show me your NFT and I tell you how it will perform: Multimodal representation learning for NFT selling price prediction
Davide Costa, Lucio La Cava, Andrea Tagarelli
Non-Fungible Tokens (NFTs) represent deeds of ownership, based on blockchain technologies and smart contracts, of unique crypto assets on digital art forms (e.g., artworks or colle…
Information Consumption and Boundary Spanning in Decentralized Online Social Networks: the case of Mastodon Users
Lucio La Cava, Andrea Tagarelli
Decentralized Online Social Networks (DOSNs) represent a growing trend in the social media landscape, as opposed to the well-known centralized peers, which are often in the spotlig…