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3 accepted papers

2025

Natural Language Counterfactual Explanations for Graphs Using Large Language Models

AISTATS 2025poster

Explainable Artificial Intelligence (XAI) has emerged as a critical area of research to unravel the opaque inner logic of (deep) machine learning models. Among the various XAI techniques proposed in the literature, counterfactual explanations stand out as one of the most promising approaches. Howev…

Cited by 0SourcecodeScholar
2024

DanteLLM: Let’s Push Italian LLM Research Forward!

COLING 2024main

In recent years, the dominance of Large Language Models (LLMs) in the English language has become evident. However, there remains a pronounced gap in resources and evaluation tools tailored for non-English languages, underscoring a significant disparity in the global AI landscape. This paper seeks t…

2022

SRL4E – Semantic Role Labeling for Emotions: A Unified Evaluation Framework

ACL 2022long

In the field of sentiment analysis, several studies have highlighted that a single sentence may express multiple, sometimes contrasting, sentiments and emotions, each with its own experiencer, target and/or cause. To this end, over the past few years researchers have started to collect and annotate…