Distilled Neural Networks for Efficient Learning to Rank. - Franco Maria Nardini; Cosimo Rulli; Salvatore Trani; Rossano Venturini (IEEE Trans. Knowl. Data Eng., 2023)

Pairing Clustered Inverted Indexes with κ-NN Graphs for Fast Approximate Retrieval over Learned Sparse Representations. - Sebastian Bruch 001; Franco Maria Nardini; Cosimo Rulli; Rossano Venturini (CIKM, 2024)

Efficient Multi-vector Dense Retrieval with Bit Vectors. - Franco Maria Nardini; Cosimo Rulli; Rossano Venturini (ECIR (2), 2024)

Distilled Neural Networks for Efficient Learning to Rank: (Extended Abstract). - Franco Maria Nardini; Cosimo Rulli; Salvatore Trani; Rossano Venturini (ICDE, 2024)

Seismic: Efficient and Effective Retrieval over Learned Sparse Representation. - Sebastian Bruch 001; Franco Maria Nardini; Cosimo Rulli; Rossano Venturini (IIR, 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 001; Salvatore Trani; Manos Karvounis; Jakub Janostik (IIR, 2024)

Efficient and Effective Multi-Vector Dense Retrieval with EMVB. - Franco Maria Nardini; Cosimo Rulli; Rossano Venturini (SEBD, 2024)

Efficient Inverted Indexes for Approximate Retrieval over Learned Sparse Representations. - Sebastian Bruch 001; Franco Maria Nardini; Cosimo Rulli; Rossano Venturini (SIGIR, 2024)

Efficient Multi-Vector Dense Retrieval Using Bit Vectors. - Franco Maria Nardini; Cosimo Rulli; Rossano Venturini (CoRR, 2024)

Pairing Clustered Inverted Indexes with kNN Graphs for Fast Approximate Retrieval over Learned Sparse Representations. - Sebastian Bruch 001; Franco Maria Nardini; Cosimo Rulli; Rossano Venturini (CoRR, 2024)

Efficient Inverted Index-based Approximate Retrieval over High-dimensional Learned Sparse Representations. - Sebastian Bruch 001; Franco Maria Nardini; Cosimo Rulli; Rossano Venturini (IEEE Data Eng. Bull., 2024)

Investigating the Scalability of Approximate Sparse Retrieval Algorithms to Massive Datasets. - Sebastian Bruch 001; Franco Maria Nardini; Cosimo Rulli; Rossano Venturini; Leonardo Venuta (ECIR (3), 2025)

kANNolo: Sweet and Smooth Approximate k-Nearest Neighbors Search. - Leonardo Delfino; Domenico Erriquez; Silvio Martinico; Franco Maria Nardini; Cosimo Rulli; Rossano Venturini (ECIR (4), 2025)

Efficient Approximate Nearest Neighbor Search on a Raspberry Pi. - Silvio Martinico; Franco Maria Nardini; Cosimo Rulli; Rossano Venturini (SIGIR, 2025)

Efficient Conversational Search via Topical Locality in Dense Retrieval. - Cristina Ioana Muntean; Franco Maria Nardini; Raffaele Perego 001; Guido Rocchietti; Cosimo Rulli (SIGIR, 2025)

Effective Inference-Free Retrieval for Learned Sparse Representations. - Franco Maria Nardini; Thong Nguyen 004; Cosimo Rulli; Rossano Venturini; Andrew Yates (SIGIR, 2025)

Neural Lexical Search with Learned Sparse Retrieval. - Andrew Yates; Carlos Lassance; Cosimo Rulli; Eugene Yang; Sean MacAvaney; Siddharth A. K. Singh; Thong Nguyen 004; Yibin Lei (SIGIR, 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 001; Ophir Frieder (IEEE Access, 2025)

Neural network compression using binarization and few full-precision weights. - Franco Maria Nardini; Cosimo Rulli; Salvatore Trani; Rossano Venturini (Inf. Sci., 2025)