Papers by Andrea Iovine
AttributeForge: An Agentic LLM Framework for Automated Product Schema Modeling (2025.emnlp-industry)
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Yunhan Huang, Klevis Ramo, Andrea Iovine, Melvin Monteiro, Sedat Gokalp, Arjun Bakshi, Hasan Turalic, Arsh Kumar, Jona Neumeier, Ripley Yates, Rejaul Monir, Simon Hartmann, Tushar Manglik, Mohamed Yakout
| Challenge: | e-commerce platforms are producing only tens of attributes per month for schema modeling . authors present a framework to automate end-to-end product schema modeling using Large Language Models . |
| Approach: | They introduce a framework to automate end-to-end product schema modeling using Large Language Models. |
| Outcome: | The proposed framework achieves an 88 increase in modeling throughput while delivering superior quality. |
CycleKQR: Unsupervised Bidirectional Keyword-Question Rewriting (2022.emnlp-main)
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| Challenge: | Existing approaches to query paraphrases are based on encoderdecoder architectures, but they do not support the two important functionalities beyond questions. |
| Approach: | They propose a keyword-question rewriting task to improve query understanding capabilities of NLU systems for all surface forms. |
| Outcome: | Empirically, we show that CycleKQR significantly improves QA performance by rewriting queries into the appropriate form while retaining the original semantic meaning of input queries. |