Publications

Mert Yuksekgonul, Federico Bianchi, Pratyusha Kalluri, Dan Jurafsky, James Zou (2023). When and Why Vision-Language Models Behave like Bags-Of-Words, and What to Do About It?. In ICLR.

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Federico Bianchi, Pratyusha Kalluri, Esin Durmus, Faisal Ladhak, Myra Cheng, Debora Nozza, Tatsunori Hashimoto, Dan Jurafsky, James Zou, Aylin Caliskan (2022). Easily Accessible Text-to-Image Generation Amplifies Demographic Stereotypes at Large Scale. FAccT.

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Federico Bianchi, Debora Nozza, Dirk Hovy (2022). Language Invariant Properties in Natural Language Processing. In NLP Power!.

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Federico Bianchi, Debora Nozza, Dirk Hovy (2022). XLM-EMO: Multilingual Emotion Prediction in Social Media Text. 12th Workshop on Computational Approaches to Subjectivity, Sentiment and Social Media Analysis at EACL 2021.

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Debora Nozza, Federico Bianchi, Dirk Hovy (2022). Pipelines for Social Bias Testing of Large Language Models. First Workshop on Challenges & Perspectives in Creating Large Language Models at ACL 2022.

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Debora Nozza, Federico Bianchi, Dirk Hovy, Anne Lauscher (2022). Measuring Harmful Sentence Completion in Language Models for LGBTQIA+ Individuals. Second Workshop on Language Technology for Equality, Diversity and Inclusion at ACL 2022.

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Patrick John Chia, Jacopo Tagliabue, Federico Bianchi, Chloe He, Brian Ko (2022). Beyond NDCG: behavioral testing of recommender systems with RecList. In WWW.

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Federico Bianchi, Giuseppe Attanasio, Raphael Pisoni, Silvia Terragni, Gabriele Sarti, Sri Lakshmi (2021). Contrastive Language-Image Pre-training for the Italian Language. In ArXiv.

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Federico Bianchi, Silvia Terragni, Dirk Hovy (2021). Pre-training is a Hot Topic: Contextualized Document Embeddings Improve Topic Coherence. In ACL.

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Federico Bianchi, Dirk Hovy (2021). On the Gap between Adoption and Understanding in NLP. In Findings of the Association for Computational Linguistics.

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Giovanni Cassani, Federico Bianchi, Marco Marelli (2021). Words with Consistent Diachronic Usage Patterns are Learned Earlier: A Computational Analysis Using Temporally Aligned Word Embeddings.. In Cognitive Science.

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Federico Bianchi, Jacopo Tagliabue, Bingqing Yu (2021). Query2Prod2Vec: Grounded Word Embeddings for eCommerce. In NAACL-HLT.

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Federico Bianchi, Ciro Greco, Jacopo Tagliabue (2021). Language in a (Search) Box: Grounding Language Learning in Real-World Human-Machine Interaction. In NAACL-HLT.

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Federico Bianchi, Silvia Terragni, Dirk Hovy, Debora Nozza, Elisabetta Fersini (2021). Cross-lingual Contextualized Topic Models with Zero-shot Learning. In EACL.

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Tommaso Fornaciari, Federico Bianchi, Massimo Poesio, Dirk Hovy (2021). BERTective: Language Models and Contextual Information for Deception Detection. In EACL.

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Monireh Ebrahimi, Aaron Eberhart, Federico Bianchi, Pascal Hitzler (2021). Towards bridging the neuro-symbolic gap: deep deductive reasoners.. In Applied Intelligence.

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Federico Bianchi, Debora Nozza, Dirk Hovy (2021). FEEL-IT: Emotion and Sentiment Classification for the Italian Language. In WASSA.

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Federico Bianchi, Jacopo Tagliabue, Bingqing Yu, Luca Bigon, Ciro Greco (2020). Fantastic Embeddings and How to Align Them: Zero-Shot Inference in a Multi-Shop Scenario. SIGIR@E-com.

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Valerio Di Carlo, Federico Bianchi, Matteo Palmonari (2019). Training Temporal Word Embeddings with a Compass. In AAAI..

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Federico Bianchi, Matteo Palmonari, Debora Nozza (2018). Towards Encoding Time in text-based Entity Embeddings. In ISWC.

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Federico Bianchi, Matteo Palmonari, Marco Cremaschi, Elisabetta Fersini (2017). Actively Learning to Rank Semantic Associations for Personalized Contextual Exploration of Knowledge Graphs. In ESWC.

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