activity
20242026
most citedDo LLMs suffer from Multi-Party Hangover? A Diagnostic Approach to Addressee Recognition and Response Selection in Conversations

2 citations · 3 across the 7 of their papers we have counts for

collaborators

8 papers

cs.CL2026

CrisiLangs: A Multilingual Resource for Crisis Warning Generation

Giacomo Gonella, Stefano Menini, Marco Guerini

Communicating with the public during an emergency entails issuing warning messages promptly. In Europe, it often requires producing them in more than one language. Recent work has…

cs.CL2026

LLMberjack: Guided Trimming of Debate Trees for Multi-Party Conversation Creation

Leonardo Bottona, Nicolò Penzo, Bruno Lepri +2

We present LLMberjack, a platform for creating multi-party conversations starting from existing debates, originally structured as reply trees. The system offers an interactive inte…

cs.CL2025

Don't Stop the Multi-Party! On Generating Synthetic Written Multi-Party Conversations with Constraints

Nicolò Penzo, Marco Guerini, Bruno Lepri +2

Written Multi-Party Conversations (WMPCs) are widely studied across disciplines, with social media as a primary data source due to their accessibility. However, these datasets rais…

cs.CL2024

Is Safer Better? The Impact of Guardrails on the Argumentative Strength of LLMs in Hate Speech Countering

Helena Bonaldi, Greta Damo, Nicolás Benjamín Ocampo +3

The potential effectiveness of counterspeech as a hate speech mitigation strategy is attracting increasing interest in the NLG research community, particularly towards the task of…

cs.CL2024

I Want to Break Free! Persuasion and Anti-Social Behavior of LLMs in Multi-Agent Settings with Social Hierarchy

Gian Maria Campedelli, Nicolò Penzo, Massimo Stefan +4

As LLM-based agents become increasingly autonomous and will more freely interact with each other, studying the interplay among them becomes crucial to anticipate emergent phenomena…

cs.CL2024★ 2 cited

Do LLMs suffer from Multi-Party Hangover? A Diagnostic Approach to Addressee Recognition and Response Selection in Conversations

Nicolò Penzo, Maryam Sajedinia, Bruno Lepri +2

Assessing the performance of systems to classify Multi-Party Conversations (MPC) is challenging due to the interconnection between linguistic and structural characteristics of conv…

cs.CL2024

Basque and Spanish Counter Narrative Generation: Data Creation and Evaluation

Jaione Bengoetxea, Yi-Ling Chung, Marco Guerini +1

Counter Narratives (CNs) are non-negative textual responses to Hate Speech (HS) aiming at defusing online hatred and mitigating its spreading across media. Despite the recent incre…

cs.CL2024★ 1 cited

Putting Context in Context: the Impact of Discussion Structure on Text Classification

Nicolò Penzo, Antonio Longa, Bruno Lepri +2

Current text classification approaches usually focus on the content to be classified. Contextual aspects (both linguistic and extra-linguistic) are usually neglected, even in tasks…