Papers by Matteo Marcuzzo

2 papers
Pun Unintended: LLMs and the Illusion of Humor Understanding (2025.emnlp-main)

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Challenge: Existing models for pun detection lack nuanced grasp typical of human interpretation.
Approach: They analyze existing pun detection benchmarks and human evaluation across recent LLMs to find subtle changes in puns that mislead LLM.
Outcome: The proposed models lack the nuance typical of human interpretation and lack the depth of their analysis to detect puns.
Morables: A Benchmark for Assessing Abstract Moral Reasoning in LLMs with Fables (2025.emnlp-main)

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Challenge: Literature-based benchmarks provide a compelling framework for evaluating LLMs' capacity for complex abstract reasoning and inference.
Approach: They propose a novel moral reasoning benchmark built from fables and short stories that uses adversarial variants to stress-test model robustness.
Outcome: The proposed model outperforms models on fables and short stories, but is susceptible to adversarial manipulation and rely on superficial patterns rather than true moral reasoning.

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