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cs.CL2026

Multilingual Training and Evaluation Resources for Vision-Language Models

Daniela Baiamonte, Elena Fano, Matteo Gabburo +3

Vision Language Models (VLMs) achieved rapid progress in the recent years. However, despite their growth, VLMs development is heavily grounded on English, leading to two main limit…

cs.CL2024

SLIMER-IT: Zero-Shot NER on Italian Language

Andrew Zamai, Leonardo Rigutini, Marco Maggini +1

Traditional approaches to Named Entity Recognition (NER) frame the task into a BIO sequence labeling problem. Although these systems often excel in the downstream task at hand, the…

cs.CL2024

Show Less, Instruct More: Enriching Prompts with Definitions and Guidelines for Zero-Shot NER

Andrew Zamai, Andrea Zugarini, Leonardo Rigutini +2

Recently, several specialized instruction-tuned Large Language Models (LLMs) for Named Entity Recognition (NER) have emerged. Compared to traditional NER approaches, these models h…

cs.CL2024

A Turkish Educational Crossword Puzzle Generator

Kamyar Zeinalipour, Yusuf Gökberk Keptiğ, Marco Maggini +2

This paper introduces the first Turkish crossword puzzle generator designed to leverage the capabilities of large language models (LLMs) for educational purposes. In this work, we…

cs.CL2024

Clue-Instruct: Text-Based Clue Generation for Educational Crossword Puzzles

Andrea Zugarini, Kamyar Zeinalipour, Surya Sai Kadali +3

Crossword puzzles are popular linguistic games often used as tools to engage students in learning. Educational crosswords are characterized by less cryptic and more factual clues t…