7 citations · 17 across the 8 of their papers we have counts for
9 papers
Embedding Surgery: Localized Updates for Adaptive Ranking Correction in Dense Retrieval
Maddalena Amendola, Antonio Mallia, Raffaele Perego
Dense retrieval systems are core components of modern search engines, recommendation platforms, and retrieval-augmented generation pipelines. They encode documents and queries into…
Efficient Constant-Space Multi-Vector Retrieval
Sean MacAvaney, Antonio Mallia, Nicola Tonellotto
Multi-vector retrieval methods, exemplified by the ColBERT architecture, have shown substantial promise for retrieval by providing strong trade-offs in terms of retrieval latency a…
Faster Learned Sparse Retrieval with Block-Max Pruning
Antonio Mallia, Torten Suel, Nicola Tonellotto
Learned sparse retrieval systems aim to combine the effectiveness of contextualized language models with the scalability of conventional data structures such as inverted indexes. N…
DeeperImpact: Optimizing Sparse Learned Index Structures
Soyuj Basnet, Jerry Gou, Antonio Mallia +1
A lot of recent work has focused on sparse learned indexes that use deep neural architectures to significantly improve retrieval quality while keeping the efficiency benefits of th…
Improved Learned Sparse Retrieval with Corpus-Specific Vocabularies
Puxuan Yu, Antonio Mallia, Matthias Petri
We explore leveraging corpus-specific vocabularies that improve both efficiency and effectiveness of learned sparse retrieval systems. We find that pre-training the underlying BERT…
Faster Learned Sparse Retrieval with Guided Traversal
Antonio Mallia, Joel Mackenzie, Torsten Suel +1
Neural information retrieval architectures based on transformers such as BERT are able to significantly improve system effectiveness over traditional sparse models such as BM25. Th…
Learning Passage Impacts for Inverted Indexes
Antonio Mallia, Omar Khattab, Nicola Tonellotto +1
Neural information retrieval systems typically use a cascading pipeline, in which a first-stage model retrieves a candidate set of documents and one or more subsequent stages re-ra…
Supporting Interoperability Between Open-Source Search Engines with the Common Index File Format
Jimmy Lin, Joel Mackenzie, Chris Kamphuis +5
There exists a natural tension between encouraging a diverse ecosystem of open-source search engines and supporting fair, replicable comparisons across those systems. To balance th…
Debunking Fake News One Feature at a Time
Melanie Tosik, Antonio Mallia, Kedar Gangopadhyay
Identifying the stance of a news article body with respect to a certain headline is the first step to automated fake news detection. In this paper, we introduce a 2-stage ensemble…