NT
Nicola Tonellotto
cs.IRcs.CLcs.AIcs.LGArtificial Intelligencecs.DBcs.DCcs.DScs.NIcs.PF
On Valency
published · living versionsW_9xettkzm·v1 · currentpublished
On the Token Collapse Phenomenon in Textual Graph Soft Prompting
with Andrea Giuseppe Di Francesco, Rishabh Jain, Franco Maria Nardini, Pietro Liò +1
1 version
Preprints & journals
43 papers in the corpus · 2020–2026On the Token Collapse Phenomenon in Textual Graph Soft Prompting2610.31572v1 · Andrea Giuseppe Di Francesco, Rishabh Jain, Franco Maria Nardini et al.2026 · 0 citationsarXivon Valency
How AI agents search.42905662 · Pezzuti, Francesca, Frieder, Ophir, Silvestri, Fabrizio et al.2026 · 0 citationsPloS one. 2026;21(10):e0360157
SURF: Subtractive Updates for Recommender Forgetting2609.18695v1 · Filippo Betello, Antonio Purificato, Nicola Tonellotto et al.2026 · 0 citationsarXiv
Black-Mamba: Biologically-Inspired Leaky Accumulation for Conceptual Knowledge under Distribution Drift2607.18899v1 · Giuseppe Soriano, Nicola Tonellotto, Alberto Gotta2026 · 0 citationsarXiv
A Picture of Agentic Search2602.17518v1 · Francesca Pezzuti, Ophir Frieder, Fabrizio Silvestri et al.2026 · 0 citationsarXiv
Statistical Foundations of DIME: Risk Estimation for Practical Index Selection2601.05649v1 · Giulio D'Erasmo, Cesare Campagnano, Antonio Mallia et al.2026 · 1 citationProceedings of the 19th Conference of the European Chapter of the Association for Computational Linguistics (Volume 2: Short Papers), 2026, pages 722-730
Blending Learning to Rank and Dense Representations for Efficient and Effective Cascades2510.16393v1 · Franco Maria Nardini, Raffaele Perego, Nicola Tonellotto et al.2025 · 0 citationsarXiv
Neural Prioritisation for Web Crawling2506.16146v2 · Francesca Pezzuti, Sean MacAvaney, Nicola Tonellotto2025 · 3 citationsarXiv
Early-Exit Graph Neural Networks2505.18088v2 · Andrea Giuseppe Di Francesco, Maria Sofia Bucarelli, Franco Maria Nardini et al.2025 · 0 citationsarXiv
AMAQA: A Metadata-based QA Dataset for RAG Systems2505.13557v2 · Davide Bruni, Marco Avvenuti, Nicola Tonellotto et al.2025 · 0 citationsarXiv
Efficient Recommendation with Millions of Items by Dynamic Pruning of Sub-Item Embeddings2505.00560v1 · Aleksandr V. Petrov, Craig Macdonald, Nicola Tonellotto2025 · 3 citationsarXiv
Document Quality Scoring for Web Crawling2504.11011v1 · Francesca Pezzuti, Ariane Mueller, Sean MacAvaney et al.2025 · 0 citationsarXiv
MURR: Model Updating with Regularized Replay for Searching a Document Stream2504.10250v1 · Eugene Yang, Nicola Tonellotto, Dawn Lawrie et al.2025 · 1 citationarXiv
Efficient Constant-Space Multi-Vector Retrieval2504.01818v1 · Sean MacAvaney, Antonio Mallia, Nicola Tonellotto2025 · 9 citationsarXiv
Exploring the Effectiveness of Multi-stage Fine-tuning for Cross-encoder Re-rankers2503.22672v1 · Francesca Pezzuti, Sean MacAvaney, Nicola Tonellotto2025 · 2 citationsarXiv
ECLIPSE: Contrastive Dimension Importance Estimation with Pseudo-Irrelevance Feedback for Dense Retrieval2412.14967v1 · Giulio D'Erasmo, Giovanni Trappolini, Nicola Tonellotto et al.2024 · 2 citationsarXiv
Maybe you are looking for CroQS: Cross-modal Query Suggestion for Text-to-Image Retrieval2412.13834v1 · Giacomo Pacini, Fabio Carrara, Nicola Messina et al.2024 · 1 citationarXiv
Static Pruning in Dense Retrieval using Matrix Decomposition2412.09983v1 · Federico Siciliano, Francesca Pezzuti, Nicola Tonellotto et al.2024 · 0 citationsarXiv
A Theoretical Analysis of Recommendation Loss Functions under Negative Sampling2411.07770v3 · Giulia Di Teodoro, Federico Siciliano, Nicola Tonellotto et al.2024 · 1 citationarXiv
Efficient Inference of Sub-Item Id-based Sequential Recommendation Models with Millions of Items2408.09992v1 · Aleksandr V. Petrov, Craig Macdonald, Nicola Tonellotto2024 · 2 citationsarXiv
A Reproducible Analysis of Sequential Recommender Systems2408.03873v1 · Filippo Betello, Antonio Purificato, Federico Siciliano et al.2024 · 17 citationsarXiv
A Tale of Trust and Accuracy: Base vs. Instruct LLMs in RAG Systems2406.14972v1 · Florin Cuconasu, Giovanni Trappolini, Nicola Tonellotto et al.2024 · 0 citationsarXiv
Cross-Document Neural Re-Ranking via Query-Induced Subgraphs2406.11720v2 · Andrea Giuseppe Di Francesco, Christian Giannetti, Nicola Tonellotto et al.2024 · 0 citationsarXiv
Generating Query Recommendations via LLMs2405.19749v2 · Andrea Bacciu, Enrico Palumbo, Andreas Damianou et al.2024 · 1 citationarXiv
Faster Learned Sparse Retrieval with Block-Max Pruning2405.01117v1 · Antonio Mallia, Torten Suel, Nicola Tonellotto2024 · 27 citationsarXiv
A Reproducibility Study of PLAID2404.14989v1 · Sean MacAvaney, Nicola Tonellotto2024 · 15 citationsarXiv
Two-Step SPLADE: Simple, Efficient and Effective Approximation of SPLADE2404.13357v1 · Carlos Lassance, Herv'e Dejean, St'ephane Clinchant et al.2024 · 4 citationsarXiv
DESIRE-ME: Domain-Enhanced Supervised Information REtrieval using Mixture-of-Experts2403.13468v1 · Pranav Kasela, Gabriella Pasi, Raffaele Perego et al.2024 · 2 citationsarXiv
The Power of Noise: Redefining Retrieval for RAG Systems2401.14887v4 · Florin Cuconasu, Giovanni Trappolini, Federico Siciliano et al.2024 · 235 citationsarXiv
RRAML: Reinforced Retrieval Augmented Machine Learning2307.12798v3 · Andrea Bacciu, Florin Cuconasu, Federico Siciliano et al.2023 · 2 citationsCEUR Workshop Proceedings (2023, Vol. 3537, pp. 29-37)
A Federated Channel Modeling System using Generative Neural Networks2305.18856v1 · Saira Bano, Pietro Cassara, Nicola Tonellotto et al.2023 · 5 citationsarXiv
Integrating Item Relevance in Training Loss for Sequential Recommender Systems2305.10824v3 · Andrea Bacciu, Federico Siciliano, Nicola Tonellotto et al.2023 · 11 citationsIn Proceedings of the 17th ACM Conference on Recommender Systems (pp. 1114-1119) 2023
A Static Pruning Study on Sparse Neural Retrievers2304.12702v1 · Carlos Lassance, Simon Lupart, Herv'e Dejean et al.2023 · 17 citationsarXiv
Caching Historical Embeddings in Conversational Search2211.14155v1 · Ophir Frieder, Ida Mele, Cristina Ioana Muntean et al.2022 · 13 citationsarXiv
Adaptive Re-Ranking with a Corpus Graph2208.08942v1 · Sean MacAvaney, Nicola Tonellotto, Craig Macdonald2022 · 33 citationsarXiv
Lecture Notes on Neural Information Retrieval2207.13443v2 · Nicola Tonellotto2022 · 6 citationsarXiv
Faster Learned Sparse Retrieval with Guided Traversal2204.11314v1 · Antonio Mallia, Joel Mackenzie, Torsten Suel et al.2022 · 55 citationsarXiv
Query Embedding Pruning for Dense Retrieval2108.10341v1 · Nicola Tonellotto, Craig Macdonald2021 · 40 citationsarXiv
On Single and Multiple Representations in Dense Passage Retrieval2108.06279v2 · Craig Macdonald, Nicola Tonellotto, Iadh Ounis2021 · 6 citationsarXiv
Learning Passage Impacts for Inverted Indexes2104.12016v1 · Antonio Mallia, Omar Khattab, Nicola Tonellotto et al.2021 · 156 citationsarXiv
Declarative Experimentation in Information Retrieval using PyTerrier2007.14271v1 · Craig Macdonald, Nicola Tonellotto2020 · 114 citations2020 ACM SIGIR International Conference on the Theory of Information Retrieval (ICTIR '20)
Topic Propagation in Conversational Search2004.14054v1 · I. Mele, C. I. Muntean, F. M. Nardini et al.2020 · 27 citationsarXiv
Topical Result Caching in Web Search Engines2001.03010v1 · Ida Mele, Nicola Tonellotto, Ophir Frieder et al.2020 · 9 citationsarXiv
Career total: 190 works. 43 are in this corpus.
Profile built from the corpus for this byline.
Author records are still filling in while the Hub is in alpha. If this is your page, you'll be able to claim it soon. Spot a mistake? Tell us.