Cosimo Rulli

According to our database, Cosimo Rulli authored at least 12 papers between 2023 and 2025.

Collaborative distances:

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

2025

ChatGPT Versus Modest Large Language Models: An Extensive Study on Benefits and Drawbacks for Conversational Search.

Guido Rocchietti, Cosimo Rulli, Franco Maria Nardini, Cristina Ioana Muntean, Raffaele Perego, Ophir Frieder

IEEE Access, 2025

2024

Pairing Clustered Inverted Indexes with kNN Graphs for Fast Approximate Retrieval over Learned Sparse Representations.

Sebastian Bruch, Franco Maria Nardini, Cosimo Rulli, Rossano Venturini

CoRR, 2024

Efficient Multi-Vector Dense Retrieval Using Bit Vectors.

Franco Maria Nardini, Cosimo Rulli, Rossano Venturini

CoRR, 2024

Efficient Inverted Indexes for Approximate Retrieval over Learned Sparse Representations.

Sebastian Bruch, Franco Maria Nardini, Cosimo Rulli, Rossano Venturini

Proceedings of the 47th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2024

Efficient and Effective Multi-Vector Dense Retrieval with EMVB.

Franco Maria Nardini, Cosimo Rulli, Rossano Venturini

Proceedings of the 32nd Symposium of Advanced Database Systems, 2024

LongDoc Summarization using Instruction-tuned Large Language Models for Food Safety Regulations.

Guido Rocchietti, Cosimo Rulli, Korbinian Randl, Cristina Ioana Muntean, Franco Maria Nardini, Raffaele Perego, Salvatore Trani, Manos Karvounis, Jakub Janostik

Proceedings of the 14th Italian Information Retrieval Workshop, 2024

Seismic: Efficient and Effective Retrieval over Learned Sparse Representation.

Sebastian Bruch, Franco Maria Nardini, Cosimo Rulli, Rossano Venturini

Proceedings of the 14th Italian Information Retrieval Workshop, 2024

Distilled Neural Networks for Efficient Learning to Rank: (Extended Abstract).

Franco Maria Nardini, Cosimo Rulli, Salvatore Trani, Rossano Venturini

Proceedings of the 40th IEEE International Conference on Data Engineering, 2024

Efficient Multi-vector Dense Retrieval with Bit Vectors.

Franco Maria Nardini, Cosimo Rulli, Rossano Venturini

Proceedings of the Advances in Information Retrieval, 2024

Pairing Clustered Inverted Indexes with κ-NN Graphs for Fast Approximate Retrieval over Learned Sparse Representations.

Sebastian Bruch, Franco Maria Nardini, Cosimo Rulli, Rossano Venturini

Proceedings of the 33rd ACM International Conference on Information and Knowledge Management, 2024

2023

Distilled Neural Networks for Efficient Learning to Rank.

Franco Maria Nardini, Cosimo Rulli, Salvatore Trani, Rossano Venturini

IEEE Trans. Knowl. Data Eng., May, 2023

Neural Network Compression using Binarization and Few Full-Precision Weights.

Franco Maria Nardini, Cosimo Rulli, Salvatore Trani, Rossano Venturini

CoRR, 2023