---
title: "Who cites FadeIT at EVALITA 2026: — 8 citing papers"
description: "8 papers of the Elamur Research library cite «FadeIT at EVALITA 2026: Overview of the Fallacy Detection in Italian Social Media Texts Task»…"
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---
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# Who cites «FadeIT at EVALITA 2026: Overview of the Fallacy Detection in Italian Social Media Texts Task»

8 papers of our library cite it (of the 149,439 whose bibliographies we read) · 4 with a page here, the most cited first · [← back to «FadeIT at EVALITA 2026: Overview of the Fallacy Detection in Italian Social Media Texts Task»](https://md.research.elamur.ai/free/en/papers/ramponi-2026-fadeit-evalita-2026-overview-fallacy/)

1. **[Kenji-Endo: a BabyLM @EVALITA](https://md.research.elamur.ai/free/en/papers/scozzaro-2026-kenji-endo-babylm-evalita/) [Evaluation Campaign of Natural Language Processing and Speech Tools for Italian. Final Workshop](https://md.research.elamur.ai/free/en/venues/evalita/)**Calogero Jerik Scozzaro, Matteo Rinaldi, Gianluca Mittone, et al.*2026 · 2 citations*
2. **[MALTO at FadeIT: A BERT-Based System for Multi-Label Fallacy Detection in Italian Social Media](https://md.research.elamur.ai/free/en/papers/salami-2026-malto-fadeit-bert-based-system/) [Evaluation Campaign of Natural Language Processing and Speech Tools for Italian. Final Workshop](https://md.research.elamur.ai/free/en/venues/evalita/)**Matin Salami, Luca M. Rodia, Vladimir Schiau, et al.*2026 · 1 citation*
3. **[PuDy at FadeIT: Enhancing Fine-Grained Fallacy Detection with Hierarchy-Aware Training and Contextual Enrichment](https://md.research.elamur.ai/free/en/papers/phu-2026-pudy-fadeit-enhancing-fine-grained/) [Evaluation Campaign of Natural Language Processing and Speech Tools for Italian. Final Workshop](https://md.research.elamur.ai/free/en/venues/evalita/)**Duy Dang Phu, Son Bui Hong, Dang Van Thin*2026 · 1 citation*
4. **[RBG-AI at FadeIT: Prompted LLMs with Label Abstraction for Logical Fallacy Detection](https://md.research.elamur.ai/free/en/papers/meenakshi-2026-rbg-ai-fadeit-prompted-llms/) [Evaluation Campaign of Natural Language Processing and Speech Tools for Italian. Final Workshop](https://md.research.elamur.ai/free/en/venues/evalita/)**Meenakshi, Jairam R, Reshma U, et al.*2026 · 1 citation*

4 more papers of our library cite it; they have no page here yet.

- [← back to](https://md.research.elamur.ai/free/en/papers/ramponi-2026-fadeit-evalita-2026-overview-fallacy/) — FadeIT at EVALITA 2026: Overview of the Fallacy Detection in Italian Social Media Texts Task