Lucio La Cava

Orcid: 0000-0003-3324-0580

According to our database1, Lucio La Cava authored at least 38 papers between 2021 and 2026.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

Legend:

Book  In proceedings  Article  PhD thesis  Dataset  Other 

Links

Online presence:

On csauthors.net:

Bibliography

2026
Double Rectified Linear Unit-based Modular Semantics for Quantitative Bipolar Argumentation Framework.
CoRR, May, 2026

Luminol-AIDetect: Fast Zero-shot Machine-Generated Text Detection based on Perplexity under Text Shuffling.
CoRR, April, 2026

LLM-based Argument Mining meets Argumentation and Description Logics: a Unified Framework for Reasoning about Debates.
CoRR, March, 2026

Culturally Grounded Personas in Large Language Models: Characterization and Alignment with Socio-Psychological Value Frameworks.
CoRR, January, 2026

Heuristic-informed mixture of experts for link prediction in multilayer networks.
Inf. Sci., 2026

Semantic-aware data imputation in dynamic relational databases via pre-trained language models.
Inf. Fusion, 2026

Argument Component Segmentation with Fine-Tuned Large Language Models.
Proceedings of the Findings of the Association for Computational Linguistics: EACL 2026, 2026

ARGUS: Towards End-to-End Argument Mining with Large Language Models.
Proceedings of the Fortieth AAAI Conference on Artificial Intelligence, 2026

2025
Characterizing swing voters in online social media: the case of the 2022 Italian elections.
Soc. Netw. Anal. Min., December, 2025

Machines in the Crowd? Measuring the Footprint of Machine-Generated Text on Reddit.
CoRR, October, 2025

Toward Preference-aligned Large Language Models via Residual-based Model Steering.
CoRR, September, 2025

Authorship Attribution in Multilingual Machine-Generated Texts.
CoRR, August, 2025

Visually Wired NFTs: Exploring the Role of Inspiration in Non-Fungible Tokens.
ACM Trans. Web, May, 2025

Unveiling user dynamics in the evolving social debate on climate crisis during the conferences of the parties.
Pervasive Mob. Comput., 2025

Safeguarding Decentralized Social Media: LLM Agents for Automating Community Rule Compliance.
Online Soc. Networks Media, 2025

WhosAI: A Contrastive Learning Framework for Machine-Generated Text Detection and Attribution.
Proceedings of the 33nd Symposium on Advanced Database Systems, 2025

Correlation Clustering with Fairness Constraints.
Proceedings of the 2nd Workshop on Green-Aware Artificial Intelligence (Green-Aware AI@ECAI 2025) co-located with the 28th European Conference on Artificial Intelligence (ECAI 2025), 2025

OpenTuringBench: An Open-Model-based Benchmark and Framework for Machine-Generated Text Detection and Attribution.
Proceedings of the 2025 Conference on Empirical Methods in Natural Language Processing, 2025

PersonaGen: A Persona-Driven Open-Ended Machine-Generated Text Dataset.
Proceedings of the 34th ACM International Conference on Information and Knowledge Management, 2025

Exploring LLMs' Ability to Spontaneously and Conditionally Modify Moral Expressions through Text Manipulation.
Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2025

Open Models, Closed Minds? On Agents Capabilities in Mimicking Human Personalities through Open Large Language Models.
Proceedings of the Thirty-Ninth AAAI Conference on Artificial Intelligence, 2025

2024
Finding Hidden Swing Voters in the 2022 Italian Elections Twitter Discourse.
CoRR, 2024

Open Models, Closed Minds? On Agents Capabilities in Mimicking Human Personalities through Open Large Language Models.
CoRR, 2024

Polarization in Decentralized Online Social Networks.
Proceedings of the 16th ACM Web Science Conference, 2024

An Exploration of Decentralized Moderation on Mastodon.
Proceedings of the 16th ACM Web Science Conference, 2024

Talking the Talk Does Not Entail Walking the Walk: On the Limits of Large Language Models in Lexical Entailment Recognition.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2024, 2024

Is Contrasting All You Need? Contrastive Learning for the Detection and Attribution of AI-generated Text.
Proceedings of the ECAI 2024 - 27th European Conference on Artificial Intelligence, 19-24 October 2024, Santiago de Compostela, Spain, 2024

2023
Get Out of the Nest! Drivers of Social Influence in the #TwitterMigration to Mastodon.
CoRR, 2023

Show me your NFT and I tell you how it will perform: Multimodal representation learning for NFT selling price prediction.
Proceedings of the ACM Web Conference 2023, 2023

SONAR: Web-based Tool for Multimodal Exploration of Non-Fungible Token Inspiration Networks.
Proceedings of the 46th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2023

Evolution of the Social Debate on Climate Crisis: Insights from Twitter During the Conferences of the Parties.
Proceedings of the International Conference on Information and Communication Technologies for Disaster Management, 2023

2022
Information consumption and boundary spanning in Decentralized Online Social Networks: The case of Mastodon users.
Online Soc. Networks Media, 2022

Information Consumption and Boundary Spanning in Decentralized Online Social Networks: the case of Mastodon Users.
CoRR, 2022

LawNet-Viz: A Web-based System to Visually Explore Networks of Law Article References.
Proceedings of the SIGIR '22: The 45th International ACM SIGIR Conference on Research and Development in Information Retrieval, Madrid, Spain, July 11, 2022

Discovering the Landscape of Decentralized Online Social Networks through Mastodon.
Proceedings of the 30th Italian Symposium on Advanced Database Systems, 2022

Network Analysis of the Information Consumption-Production Dichotomy in Mastodon User Behaviors.
Proceedings of the Sixteenth International AAAI Conference on Web and Social Media, 2022

When Correlation Clustering Meets Fairness Constraints.
Proceedings of the Discovery Science - 25th International Conference, 2022

2021
Understanding the growth of the Fediverse through the lens of Mastodon.
Appl. Netw. Sci., 2021


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