Papers by Davide Testa

2 papers
We Understand Elliptical Sentences, and Language Models should Too: A New Dataset for Studying Ellipsis and its Interaction with Thematic Fit (2023.acl-long)

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Challenge: ellipsis is a linguistic phenomenon characterized by the omission of one or more sentence elements.
Approach: They investigated how prototypicality affects the ability of Language Models to handle elliptical sentences . they found that models were better suited to evaluating argument thematic fit .
Outcome: The proposed dataset shows that the models perform better for typical events than for atypical ones in different elliptical contexts.
All-in-one: Understanding and Generation in Multimodal Reasoning with the MAIA Benchmark (2025.findings-emnlp)

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Challenge: MAIA evaluates visual language models on video-related tasks using reasoning categories that aim to disentangle language and vision relations.
Approach: a native-italian benchmark is designed for fine-grained investigation of the reasoning abilities of visual language models on videos.
Outcome: The benchmark evaluates visual language models on two aligned tasks and a visual question-answering task.

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