MALTO at FadeIT: A BERT-Based System for Multi-Label Fallacy Detection in Italian Social Media (2026 · 1 citation)
The paper describes the MALTO team's entry to Subtask A of the FadeIT shared task at EVALITA 2026. The task is to detect, for each Italian social media post, which of 20 fallacy types it contains. A post can carry several fallacies or none, and the labels come from two annotators who sometimes disagree. The data is…
MALTO at SVELA: A Specific-Attention-Head Approach for Membership Inference Attacks in LLMs Unlearning Evaluation (2026 · 1 citation)
The paper addresses how to check whether machine unlearning in LLMs actually worked. Given an input, the goal is to decide whether the model handled it as retained, forgotten, or never seen. The system was built for the SVELA shared task at EVALITA 2026 and is a white-box membership inference attack that extends…
OCRTurk: A Comprehensive OCR Benchmark for Turkish (2026 · 1 citation)
Most document-parsing benchmarks focus on English and other high-resource languages. For Turkish, the only earlier OCR benchmark used synthetic text drawn from a single book and scored raw text alone. OCRTurk fills this gap with a real-world evaluation set of 180 Turkish PDF pages. The pages are balanced across four…
FIBER: A Multilingual Evaluation Resource for Factual Inference Bias (2026)
Most factual-knowledge probing benchmarks cover only English and only questions with a single correct answer.

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Updated 1 November 2026