Written by Michalina Szpyrka / Translation by Aleksandra Krzysztoszek / Euractiv.pl / FocuEurope.pl A New Life for News: How AI Made Journalism More Human The consumption of information has experienced a quiet yet significant change in a world where algorithms appear to understand us better … Read More
Author Archives: r.leoni@dstech.it
Democracy Shield: Europe’s Response to Putin’s “Tests”
Written by Michalina Szpyrka / Translation by Aleksandra Krzysztoszek / Euractiv.pl / FocuEurope.pl Democracy Shield: Europe’s Response to Putin’s “Tests” Europe’s democracies face a newly complex set of threats. In response, the European Parliament is proposing a new agency to safeguard the EU’s public sphere from the damaging impact of digital operations. Could the proposed FIMI agency be the digital protector for this new era? Information attacks, consistently traced back to Moscow, intensify before … Read More
Typographic Attacks in a Multi-Image Setting
Typographic Attacks in a Multi-Image Setting Large Vision-Language Models (LVLMs) are susceptible to typographic attacks, which are misclassifications caused by an attack text that is added to an image. In this paper, we introduce a multi-image setting for studying typographic … Read More
Climate and Technology: Achieving Sustainable Development in the Digital Era
Written by Michalina Szpyrka / Translation by Aleksandra Krzysztoszek / Euractiv.pl / FocuEurope.pl Climate and Technology: Achieving Sustainable Development in the Digital Era As algorithms approach autonomous importance and sustainable development shifts from optional to essential, a constant tension exists between innovation and regulation. The … Read More
Fine-grained Fallacy Detection with Human Label Variation
Fine-grained Fallacy Detection with Human Label Variation We introduce FAINA, the first dataset for fallacy detection that embraces multiple plausible answers and natural disagreement. FAINA includes over 11K span-level annotations with overlaps across 20 fallacy types on social media posts … Read More
LLMs vs Established Text Augmentation Techniques for Classification
LLMs vs Established Text Augmentation Techniques for Classification: When do the Benefits Outweight the Costs? The generative large language models (LLMs) are increasingly being used for data augmentation tasks, where text samples are LLM-paraphrased and then used for classifier fine-tuning. … Read More