Papers by Domenico Meconi
Do Large Language Models Understand Word Senses? (2025.emnlp-main)
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| Challenge: | Large Language Models (LLMs) have set new performance standards in a wide range of tasks. |
| Approach: | They evaluate the Word Sense Disambiguation capabilities of instruction-tuned LLMs and their ability to understand word senses in three generative settings: definition generation, free-form explanation, and example generation. |
| Outcome: | The proposed models can explain the meaning of words in context with 98% accuracy, while demonstrating greater robustness across domains and levels of difficulty. |