Federico Bianchi Silvia Terragni, Dirk Hovy: Pre-training is a Hot Topic: Contextualized Document Embeddings Improve Topic Coherence The Joint Conference of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing (ACL-IJCNLP 2021) less than 1 minute read Share on Twitter Facebook LinkedIn Previous Next
Silvia Terragni, Modestas Filipavicius, Nghia Khau, Bruna Guedes, André Manso and Roland Mathis: In-Context Learning User Simulators for Task-Oriented Dialog Systems. Foundations and Applications in Large-scale AI: Models-Pre-training, Fine-tuning, and Prompt-based Learning (co-located at KDD 2023) less than 1 minute read
Patrick John Chia, Giuseppe Attanasio, Federico Bianchi, Silvia Terragni, Ana Rita Magalhães, Diogo Goncalves, Ciro Greco, Jacopo Tagliabue: Contrastive language and vision learning of general fashion concepts Scientific reports 12 less than 1 minute read
Silvia Terragni, Bruna Guedes, Andre Manso, Modestas Filipavicius, Nghia Khau, Roland Mathis: BETOLD: A Task-Oriented Dialog Dataset for Breakdown Detection. Proceedings of the Second Workshop on When Creative AI Meets Conversational AI (co-located at COLING 2022) less than 1 minute read
Federico Bianchi, Giuseppe Attanasio, Raphael Pisoni, Silvia Terragni, Gabriele Sarti, Sri Lakshmi: Contrastive Language-Image Pre-Training for the Italian Language. Pre-print less than 1 minute read
