Tommaso Teofili

According to our database, Tommaso Teofili authored at least 15 papers between 2017 and 2025.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2025

Gosling Grows Up: Retrieval with Learned Dense and Sparse Representations Using Anserini.

Jimmy Lin, Arthur Haonan Chen, Carlos Lassance, Xueguang Ma, Ronak Pradeep, Tommaso Teofili, Jasper Xian, Jheng-Hong Yang, Brayden Zhong, Vincent Zhong

Proceedings of the 48th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2025

Patience in Proximity: A Simple Early Termination Strategy for HNSW Graph Traversal in Approximate k-Nearest Neighbor Search.

Tommaso Teofili, Jimmy Lin

Proceedings of the Advances in Information Retrieval, 2025

2024

Vector Search with OpenAI Embeddings: Lucene Is All You Need.

Jasper Xian, Tommaso Teofili, Ronak Pradeep, Jimmy Lin

Proceedings of the 17th ACM International Conference on Web Search and Data Mining, 2024

2023

Searching Dense Representations with Inverted Indexes.

Jimmy Lin, Tommaso Teofili

CoRR, 2023

Anserini Gets Dense Retrieval: Integration of Lucene's HNSW Indexes.

Xueguang Ma, Tommaso Teofili, Jimmy Lin

Proceedings of the 32nd ACM International Conference on Information and Knowledge Management, 2023

2022

CERTEM: Explaining and Debugging Black-box Entity Resolution Systems with CERTA.

Tommaso Teofili, Donatella Firmani, Nick Koudas, Paolo Merialdo, Divesh Srivastava

Proc. VLDB Endow., 2022

Kelpie: an Explainability Framework for Embedding-based Link Prediction Models.

Andrea Rossi, Donatella Firmani, Paolo Merialdo, Tommaso Teofili

Proc. VLDB Endow., 2022

Explaining Link Prediction Systems based on Knowledge Graph Embeddings.

Andrea Rossi, Donatella Firmani, Paolo Merialdo, Tommaso Teofili

Proceedings of the SIGMOD '22: International Conference on Management of Data, Philadelphia, PA, USA, June 12, 2022

Explaining Link Prediction with Kelpie.

Andrea Rossi, Donatella Firmani, Paolo Merialdo, Tommaso Teofili

Proceedings of the 30th Italian Symposium on Advanced Database Systems, 2022

Effective Explanations for Entity Resolution Models.

Tommaso Teofili, Donatella Firmani, Nick Koudas, Vincenzo Martello, Paolo Merialdo, Divesh Srivastava

Proceedings of the 38th IEEE International Conference on Data Engineering, 2022

2021

TrustyAI Explainability Toolkit.

Rob Geada, Tommaso Teofili, Rui Vieira, Rebecca Whitworth, Daniele Zonca

CoRR, 2021

2019

Text Mining in Remotely Sensed Phenology Studies: A Review on Research Development, Main Topics, and Emerging Issues.

Sofia Bajocco, Elisabetta Raparelli, Tommaso Teofili, Marco Bascietto, Carlo Ricotta

Remote. Sens., 2019

Lucene for Approximate Nearest-Neighbors Search on Arbitrary Dense Vectors.

Tommaso Teofili, Jimmy Lin

CoRR, 2019

Affect Enriched Word Embeddings for News Information Retrieval.

Tommaso Teofili, Niyati Chhaya

Proceedings of the Third International Workshop on Recent Trends in News Information Retrieval, 2019

2017

par2hier: towards vector representations for hierarchical content.

Tommaso Teofili

Proceedings of the International Conference on Computational Science, 2017