Federico Bianchi

Latest

• XSTest: A Test Suite for Identifying Exaggerated Safety Behaviours in Large Language Models
• Safety-Tuned LLaMAs: Lessons From Improving the Safety of Large Language Models that Follow Instructions
• Easily Accessible Text-to-Image Generation Amplifies Demographic Stereotypes at Large Scale
• Beyond Digital 'Echo Chambers': The Role of Viewpoint Diversity in Political Discussion
• Viewpoint: Artificial Intelligence Accidents Waiting to Happen?
• It's Not Just Hate: A Multi-Dimensional Perspective on Detecting Harmful Speech Online
• Twitter-Demographer: A Flow-based Tool to Enrich Twitter Data
• SocioProbe: What, When, and Where Language Models Learn about Sociodemographics
• Data-Efficient Strategies for Expanding Hate Speech Detection into Under-Resourced Languages
• Is It Worth the (Environmental) Cost? Limited Evidence for the Benefits of Diachronic Continuous Training
• HATE-ITA: Hate Speech Detection in Italian Social Media Text
• MilaNLP at SemEval-2022 Task 5: Using Perceiver IO for Detecting Misogynous Memes with Text and Image Modalities
• Language Invariant Properties in Natural Language Processing
• Measuring Harmful Sentence Completion in Language Models for LGBTQIA+ Individuals
• Pipelines for Social Bias Testing of Large Language Models
• XLM-EMO: Multilingual Emotion Prediction in Social Media Text
• On the Gap between Adoption and Understanding in NLP
• Pre-training is a Hot Topic: Contextualized Document Embeddings Improve Topic Coherence
• HONEST: Measuring Hurtful Sentence Completion in Language Models
• Language in a (Search) Box: Grounding Language Learning in Real-World Human-Machine Interaction
• FEEL-IT: Emotion and Sentiment Classification for the Italian Language
• MilaNLP @ WASSA: Does BERT Feel Sad When You Cry?
• Universal Joy A Data Set and Results for Classifying Emotions Across Languages
• BERTective: Language Models and Contextual Information for Deception Detection
• Cross-lingual Contextualized Topic Models with Zero-shot Learning
• “You Sound Just Like Your Father” Commercial Machine Translation Systems Include Stylistic Biases
• What the [MASK]? Making Sense of Language-Specific BERT Models