From November 10th to November 14th, the IIIA research group will be in Seoul for the 34th International Conference on Information and Knowledge Management (CIKM 2025). The team is excited to share their latest findings and engage with fellow researchers in the vibrant city of Seoul. Come join our presentations!
Monday, November 10th, 2025. Room 209B
During the PhD Symposium, Andrea Pasin will present an overview of his PhD research exploring
how quantum computing could shape the future of information retrieval with the paper titled
"Investigating the Usage and Evaluation of Quantum Computing Technologies for Information Access".
DOI: 10.1145/3746252.3761656
Tuesday, November 11th, 2025. 4:00 PM. Room 202
As the afternoon unfolds in Seoul, during the Full Paper session "LLM 3", Simone Merlo will
present the paper titled
"A Cost-Effective Framework to Evaluate LLM-Generated Relevance Judgements". This work, developed in
collaboration with Stefano Marchesin,
Guglielmo Faggioli, and Nicola Ferro, addresses how we can evaluate
LLM-generated relevance judgments efficiently,
saving on the cost of human annotators while maintaining solid statistical reliability.
DOI: 10.1145/3746252.3761200
Tuesday, November 11th, 2025. 5:45-7:30 PM. Room E, 3F (posterboard 99)
After Simone's presentation, join us at the poster session (posterboard 99), where Francesco L. De
Faveri will present the paper titled
"DP-COMET: A Differential Privacy Contextual Obfuscation MEchanism for Texts in Natural Language
Processing". This work, developed in collaboration with
Guglielmo Faggioli, and Nicola Ferro, explores how to protect user privacy
using contextual obfuscation methods in NLP and IR applications.
GitHub: https://github.com/Kekkodf/DP-COMET
DOI: 10.1145/3746252.3760888
Thursday, November 13th, 2025. 4:00 PM. Room 203
In the last main conference afternoon, during the Full Paper session "Search & Retrieval 2" Ornella
Irrera will present the paper titled
"Scaling Trust: Veracity-Driven Defect Detection in Entity Search". This work, developed in
collaboration with Stefano Marchesin,
Gianmaria Silvello, and Omar Alonso (from Amazon Science), covers eRank, a new
strategy for reranking in entity search, and ALADDIN,
a scalable framework for defect detection in knowledge graphs.
GitHub: https://github.com/KGAccuracyEval/defect-detection4entity-search
DOI: 10.1145/3746252.3761208