3 citations · 3 across the 4 of their papers we have counts for
5 papers · 1 filter
A Picture of Agentic Search
Francesca Pezzuti, Ophir Frieder, Fabrizio Silvestri +2
With automated systems increasingly issuing search queries alongside humans, Information Retrieval (IR) faces a major shift. Yet IR remains human-centred, with systems, evaluation…
Neural Prioritisation for Web Crawling
Francesca Pezzuti, Sean MacAvaney, Nicola Tonellotto
Given the vast scale of the Web, crawling prioritisation techniques based on link graph traversal, popularity, link analysis, and textual content are frequently applied to surface…
Document Quality Scoring for Web Crawling
Francesca Pezzuti, Ariane Mueller, Sean MacAvaney +1
The internet contains large amounts of low-quality content, yet users expect web search engines to deliver high-quality, relevant results. The abundant presence of low-quality page…
Exploring the Effectiveness of Multi-stage Fine-tuning for Cross-encoder Re-rankers
Francesca Pezzuti, Sean MacAvaney, Nicola Tonellotto
State-of-the-art cross-encoders can be fine-tuned to be highly effective in passage re-ranking. The typical fine-tuning process of cross-encoders as re-rankers requires large amoun…
Static Pruning in Dense Retrieval using Matrix Decomposition
Federico Siciliano, Francesca Pezzuti, Nicola Tonellotto +1
In the era of dense retrieval, document indexing and retrieval is largely based on encoding models that transform text documents into embeddings. The efficiency of retrieval is dir…