Picture for Nicola Tonellotto

Nicola Tonellotto

Generating Query Recommendations via LLMs

Jun 04, 2024
Viaarxiv icon

Faster Learned Sparse Retrieval with Block-Max Pruning

Add code
May 02, 2024
Viaarxiv icon

A Reproducibility Study of PLAID

Add code
Apr 23, 2024
Viaarxiv icon

Two-Step SPLADE: Simple, Efficient and Effective Approximation of SPLADE

Add code
Apr 20, 2024
Viaarxiv icon

DESIRE-ME: Domain-Enhanced Supervised Information REtrieval using Mixture-of-Experts

Add code
Mar 20, 2024
Viaarxiv icon

The Power of Noise: Redefining Retrieval for RAG Systems

Add code
Jan 29, 2024
Viaarxiv icon

RRAML: Reinforced Retrieval Augmented Machine Learning

Add code
Jul 27, 2023
Viaarxiv icon

A Federated Channel Modeling System using Generative Neural Networks

May 30, 2023
Figure 1 for A Federated Channel Modeling System using Generative Neural Networks
Figure 2 for A Federated Channel Modeling System using Generative Neural Networks
Figure 3 for A Federated Channel Modeling System using Generative Neural Networks
Figure 4 for A Federated Channel Modeling System using Generative Neural Networks
Viaarxiv icon

Integrating Item Relevance in Training Loss for Sequential Recommender Systems

Add code
May 25, 2023
Figure 1 for Integrating Item Relevance in Training Loss for Sequential Recommender Systems
Figure 2 for Integrating Item Relevance in Training Loss for Sequential Recommender Systems
Figure 3 for Integrating Item Relevance in Training Loss for Sequential Recommender Systems
Figure 4 for Integrating Item Relevance in Training Loss for Sequential Recommender Systems
Viaarxiv icon

A Static Pruning Study on Sparse Neural Retrievers

Add code
Apr 25, 2023
Figure 1 for A Static Pruning Study on Sparse Neural Retrievers
Figure 2 for A Static Pruning Study on Sparse Neural Retrievers
Figure 3 for A Static Pruning Study on Sparse Neural Retrievers
Figure 4 for A Static Pruning Study on Sparse Neural Retrievers
Viaarxiv icon