7 papers
Comparing Natural and Synthetic Structured Data: A Study of the Passive Verb Alternation in French and Italian
Giuseppe Samo, Paola Merlo
This study compares the impact of natural and synthetic data on training and evaluating large language models (LLMs), using the case of passive verb alternation in French and Itali…
Datasets for Verb Alternations across Languages: BLM Templates and Data Augmentation Strategies
Giuseppe Samo, Paola Merlo
Large language models (LLMs) have shown remarkable performance across various sentence-based linguistic phenomena, yet their ability to capture cross-sentence paradigmatic patterns…
Blackbird Language Matrices: A Framework to Investigate the Linguistic Competence of Language Models
Paola Merlo, Chunyang Jiang, Giuseppe Samo +1
This article describes a novel language task, the Blackbird Language Matrices (BLM) task, inspired by intelligence tests, and illustrates the BLM datasets, their construction and b…
Modelling the Morphology of Verbal Paradigms: A Case Study in the Tokenization of Turkish and Hebrew
Giuseppe Samo, Paola Merlo
We investigate how transformer models represent complex verb paradigms in Turkish and Modern Hebrew, concentrating on how tokenization strategies shape this ability. Using the Blac…
Analogical Structure, Minimal Contextual Cues and Contrastive Distractors: Input Design for Sample-Efficient Linguistic Rule Induction
Chunyang Jiang, Paola Merlo
Large language models achieve strong performance on many tasks, but their training makes it hard to see which properties of the input support efficient linguistic rule learning. We…
Challenging the Abilities of Large Language Models in Italian: a Community Initiative
Malvina Nissim, Danilo Croce, Viviana Patti +78
The rapid progress of Large Language Models (LLMs) has transformed natural language processing and broadened its impact across research and society. Yet, systematic evaluation of t…