HiCREST Research at EMNLP2026 in Budapest

The HiCREST Laboratory is proud to announce the presentation of our latest research at the Empirical Methods in Natural Language Processing (EMNLP 2026) conference held in Budapest, Hungary.

On Monday, October 26th, our PhD student Francesco Pio Monaco (Doctoral Programme in Information Engineering and Computer Science) presented the poster for the paper titled:

“Frequency Matters: Fast Model-Agnostic Data Curation for Pruning and Quantization”

Co-authored by Francesco Pio Monaco, Elia Cunegatti, Flavio Vella, and Giovanni Iacca.

Following the poster presentation, Francesco Pio Monaco and Prof. Flavio Vella represented the lab throughout the multi-day event, participating in technical tracks, workshops, and discussions with international researchers in Natural Language Processing and AI.

Congratulations to Francesco and all co-authors on this scientific milestone!