Papers by Marco Maggini
Clue-Instruct: Text-Based Clue Generation for Educational Crossword Puzzles (2024.lrec-main)
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| Challenge: | Educational crosswords are characterized by less cryptic and more factual clues than traditional puzzles. |
| Approach: | They propose to use a dataset to generate educational clues for Large Language Models (LLMs) they use Wikipedia to gather information associated with relevant keywords and use it to generate clues. |
| Outcome: | The proposed approach generates educational clues from a dataset containing 44,075 examples with text-keyword pairs associated with three distinct crossword clues. |
From Graph to Text and Back: Semantic Fidelity in Automated Industrial Knowledge Graphs (2026.acl-industry)
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| Challenge: | Large Language Models (LLMs) often hallucinate entities or omit relations, posing unacceptable liability. |
| Approach: | They propose a self-supervised round-trip pipeline to enforce strict semantic fidelity in KG-to-text generation. |
| Outcome: | The proposed approach improves triple-extraction accuracy and verbalization faithfulness without manual annotation or massive teacher models. |