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 4 of their papers we have counts for

collaborators

5 papers

cs.CL2026

Have You Been Convinced? A Neuro-symbolic Argumentation Reasoning Approach to Detecting Persuasiveness in ChangeMyView Discussions

Siddharth Bhargava, Sara Tonelli, Patricia Martín-Rodilla

Argument structures represent how individual arguments interact within a discourse. However, leveraging these structures to infer meaningful knowledge remains challenging, as it re…

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★ 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★ 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…