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Nicolò Penzo

2 accepted papers

2026

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

AAAI 2026technical

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 raise privacy concerns and often reflect platform-specific properties. For example, interactions between speakers may be li

Cited by 0SourcePDFScholar
2024

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

EMNLP 2024main

Assessing the performance of systems to classify Multi-Party Conversations (MPC) is challenging due to the interconnection between linguistic and structural characteristics of conversations. Conventional evaluation methods often overlook variances in model behavior across different levels of structu…