Extreme Food Risk Analytics

BitsAndBites at SemEval-2025 Task 9: Improving Food Hazard Detection with Sequential Multitask Learning and Large Language Models

Auteurs: Aurora Gensale, Irene Benedetto, Luca Gioacchini, Luca Cagliero, and Alessio Bosca.
Publié dans: Proceedings of the 19th International Workshop on Semantic Evaluation (SemEval-2025), pages 718–725,, 2025
Éditeur: Association for Computational Linguistics.

Power- and Fragmentation-aware Online Scheduling for GPU Datacenters

Auteurs: Francesco Lettich, Emanuele Carlini, Franco Maria Nardini, Raffaele Perego, Salvatore Trani
Publié dans: """The 25th IEEE International Symposium on Cluster, Cloud and Internet Computing"""
Éditeur: Zenodo

Power- and Fragmentation-aware Online Scheduling for GPU Datacenters

Auteurs: Francesco Lettich, Emanuele Carlini, Franco Maria Nardini, Raffaele Perego, Salvatore Trani
Publié dans: The 25th IEEE International Symposium on Cluster, Cloud and Internet Computing, 2025
Éditeur: Zenodo

Learning to Rank for Non Independent and Identically Distributed Datasets

Auteurs: Jacopo Cecchetti; Nicola Tonellotto; Raffaele Perego 0001
Publié dans: Proceedings of the 2024 ACM SIGIR International Conference on Theory of Information Retrieval, 2024
DOI: 10.1145/3664190.3672513

Can Embeddings Analysis Explain Large Language Model Ranking?

Auteurs: Claudio Lucchese, Giorgia Minello, Franco Maria Nardini, Salvatore Orlando, Raffaele Perego, Alberto Veneri
Publié dans: ACM CIKM 2023, 2023, ISBN 979-8-4007-0124-5
Éditeur: Association for Computing Machinery
DOI: 10.1145/3583780.3615225

CoDIME: A Counterfactual Approach for Dimension Importance Estimation through Click Logs

Auteurs: Guglielmo Faggioli, Nicola Ferro, Raffaele Perego, Nicola Tonellotto
Publié dans: Proceedings of the 48th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2025
Éditeur: ACM
DOI: 10.1145/3726302.3729926

Efficient Multi-vector Dense Retrieval with Bit Vectors

Auteurs: Franco Maria Nardini & Cosimo Rulli
Publié dans: ECIR 2024, 2024, ISBN 978-3-031-56060-6
Éditeur: ECIR 2024
DOI: 10.1007/978-3-031-56060-6_1

Computing the Why-Provenance for Datalog Queries via SAT Solvers

Auteurs: Calautti M.; Livshits E.; Pieris A.; Schneider M.
Publié dans: Proceedings of the AAAI Conference on Artificial Intelligence, 2024
Éditeur: AAAI Press
DOI: 10.1609/AAAI.V38I9.28914

Survival Analysis as a Risk Stratification Tool for Threshold Exceedance Forecasting

Auteurs: George Marinos, Manos Karvounis, Ioannis Athanasiadis
Publié dans: Proceedings of the 15th International Joint Conference on Knowledge Discovery, Knowledge Engineering and Knowledge Management, 2023, ISSN 2184-3228
Éditeur: SciTePress
DOI: 10.5220/0012234700003598

Towards Robust Expert Finding in Community Question Answering Platforms

Auteurs: Amendola, M., Passarella, A., Perego, R.
Publié dans: ECIR 2024, 2024, ISBN 978-3-031-56069-9
Éditeur: Springer, Cham
DOI: 10.1007/978-3-031-56069-9_12

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

Auteurs: Sebastian Bruch 0001; Franco Maria Nardini; Cosimo Rulli; Rossano Venturini
Publié dans: Proceedings of the 33rd ACM International Conference on Information and Knowledge Management, 2024
Éditeur: ACM
DOI: 10.48550/ARXIV.2408.04443

Investigating the Scalability of Approximate Sparse Retrieval Algorithms to Massive Datasets

Auteurs: Sebastian Bruch 0001; Franco Maria Nardini; Cosimo Rulli; Rossano Venturini; Leonardo Venuta
Publié dans: European Conference on Information Retrieval 2025: Advances in Information Retrieval, Numéro 15574, 2025, ISBN 9783031887130
Éditeur: Springer Nature
DOI: 10.1007/978-3-031-88714-7_43

DESIRE-ME: Domain-Enhanced Supervised Information Retrieval Using Mixture-of-Experts

Auteurs: Kasela, P., Pasi, G., Perego, R., Tonellotto, N.
Publié dans: ECIR 2024, 2024, ISBN 978-3-031-56060-6
Éditeur: Springer, Cham
DOI: 10.1007/978-3-031-56060-6_8

Efficient Inverted Indexes for Approximate Retrieval over Learned Sparse Representations

Auteurs: Sebastian Bruch 0001; Franco Maria Nardini; Cosimo Rulli; Rossano Venturini
Publié dans: Proceedings of the 47th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2024
Éditeur: ACM
DOI: 10.48550/ARXIV.2404.18812

CoSRec: A Joint Conversational Search and Recommendation Dataset

Auteurs: Marco Alessio, Simone Merlo, Tommaso Di Noia, Guglielmo Faggioli, Marco Ferrante, Nicola Ferro, Cristina Ioana Muntean, Franco Maria Nardini, Fedelucio Narducci, Raffaele Perego, Giuseppe Santucci, Nicola Viterbo
Publié dans: Proceedings of the 48th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2025
Éditeur: ACM
DOI: 10.1145/3726302.3730319

The mod-minimizer: a simple and efficient sampling algorithm for longk-mers

Auteurs: Ragnar Groot Koerkamp; Giulio Ermanno Pibiri
Publié dans: 24th International Workshop on Algorithms in Bioinformatics (WABI 2024), 2024
Éditeur: Schloss Dagstuhl – Leibniz-Zentrum für Informatik
DOI: 10.3929/ETHZ-B-000694344

Named Entity Recognition using context similarity data augmentation.

Auteurs: Ilaria Bartolini; Angelo Chianese; Vincenzo Moscato; Marco Postiglione; Giancarlo Sperlí; Andrea Vignali
Publié dans: 2024
Éditeur: CEUR

kANNolo: Sweet and Smooth Approximate k-Nearest Neighbors Search

Auteurs: Leonardo Delfino, Domenico Erriquez, Silvio Martinico, Franco Maria Nardini, Cosimo Rulli, Rossano Venturini
Publié dans: Lecture Notes in Computer Science, Advances in Information Retrieval, 2025
Éditeur: Springer Nature Switzerland
DOI: 10.1007/978-3-031-88717-8_29

SE-PEF: a Resource for Personalized Expert Finding

Auteurs: Pranav Kasela, Gabriella Pasi, Raffaele Perego
Publié dans: ACM SIGIR AP, 2023, ISBN 979-8-4007-0408-6
Éditeur: Association for Computing Machinery
DOI: 10.1145/3624918.3625335

Efficient Re-ranking with Cross-encoders via Early Exit

Auteurs: Francesco Busolin, Claudio Lucchese, Franco Maria Nardini, Salvatore Orlando, Raffaele Perego, Salvatore Trani, Alberto Veneri
Publié dans: Proceedings of the 48th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2025
Éditeur: ACM
DOI: 10.1145/3726302.3729962

A Learning-to-Rank Formulation of Clustering-Based Approximate Nearest Neighbor Search

Auteurs: Thomas Vecchiato, Claudio Lucchese, Franco Maria Nardini, Sebastian Bruch
Publié dans: Proceedings of the 47th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2024
Éditeur: ACM
DOI: 10.1145/3626772.3657931

A Geometric Framework for Query Performance Prediction in Conversational Search

Auteurs: Guglielmo Faggioli, Nicola Ferro, Cristina Ioana Muntean, Raffaele Perego, Nicola Tonellotto
Publié dans: ACM SIGIR 2023, 2023, ISBN 978-1-4503-9408-6
Éditeur: Association for Computing Machinery
DOI: 10.1145/3539618.3591625

Dimension Importance Estimation for Dense Information Retrieval

Auteurs: Guglielmo Faggioli, Nicola Ferro, Raffaele Perego, Nicola Tonellotto
Publié dans: Proceedings of the 47th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2024
Éditeur: ACM
DOI: 10.1145/3626772.3657691

Effective Inference-Free Retrieval for Learned Sparse Representations

Auteurs: Franco Maria Nardini, Thong Nguyen, Cosimo Rulli, Rossano Venturini, Andrew Yates
Publié dans: Proceedings of the 48th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2025
Éditeur: ACM
DOI: 10.1145/3726302.3730185

FoodSafeSum: Enabling Natural Language Processing Applications for Food Safety Document Summarization and Analysis

Auteurs: Juli Bakagianni, Korbinian Randl, Guido Rocchietti, Cosimo Rulli, Franco Maria Nardini, Salvatore Trani, Aron Henriksson, Anna Romanova, John Pavlopoulos
Publié dans: Findings of the Association for Computational Linguistics: EMNLP 2025, 2025
Éditeur: Association for Computational Linguistics
DOI: 10.18653/V1/2025.FINDINGS-EMNLP.911

Efficient Conversational Search via Topical Locality in Dense Retrieval

Auteurs: Cristina Ioana Muntean, Franco Maria Nardini, Raffaele Perego, Guido Rocchietti, Cosimo Rulli
Publié dans: Proceedings of the 48th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2025, ISBN 9798400715921
Éditeur: ACM
DOI: 10.1145/3726302.3730186

Post-hoc Selection of Pareto-Optimal Solutions in Search and Recommendation

Auteurs: Vincenzo Paparella, Vito Walter Anelli, Franco Maria Nardini, Raffaele Perego, Tommaso Di Noia
Publié dans: ACM CIKM 2023, 2023, ISBN 979-8-4007-0124-5
Éditeur: Association for Computing Machinery
DOI: 10.1145/3583780.3615010

Query Performance Prediction Using Dimension Importance Estimators

Auteurs: Guglielmo Faggioli, Nicola Ferro, Raffaele Perego, Nicola Tonellotto
Publié dans: Lecture Notes in Computer Science, Advances in Information Retrieval, 2025
Éditeur: Springer Nature Switzerland
DOI: 10.1007/978-3-031-88711-6_13

CAMEO: Fostering Joint Conversational Search and Recommendation.

Auteurs: Di Noia T.; Faggioli G.; Ferrante M.; Ferro N.; Narducci F.; Perego R.; Santucci G.
Publié dans: 2024
Éditeur: CEUR

Efficient and Effective Multi-Vector Dense Retrieval with EMVB.

Auteurs: Nardini F. M.; Rulli C.; Venturini R.
Publié dans: Italian Symposium on Advanced Database Systems, 2024
Éditeur: ACM

PHOBIC: Perfect Hashing With Optimized Bucket Sizes and Interleaved Coding

Auteurs: Stefan Hermann; Hans-Peter Lehmann; Giulio Ermanno Pibiri; Peter Sanders 0001; Stefan Walzer
Publié dans: 2024
Éditeur: KIT
DOI: 10.48550/ARXIV.2404.18497

SemEval-2025 Task 9: The Food Hazard Detection Challenge

Auteurs: Korbinian Randl; John Pavlopoulos; Aron Henriksson; Tony Lindgren; Juli Bakagianni
Publié dans: Proceedings of the 19th International Workshop on Semantic Evaluation (SemEval-2025), 2025
Éditeur: ACL ANTHOLOGY

Rewriting Conversational Utterances with Instructed Large Language Models

Auteurs: Elnara Galimzhanova, Cristina Ioana Muntean, Franco Maria Nardini, Raffaele Perego, Guido Rocchietti
Publié dans: 2023 IEEE International Conference on Web Intelligence and Intelligent Agent Technology (WI-IAT), 2023, ISBN 979-8-3503-0918-8
Éditeur: IEEE
DOI: 10.48550/ARXIV.2410.07797

Commonsense injection in Conversational Systems: An adaptable framework for query expansion

Auteurs: Guido Rocchietti, Ophir Frieder, Cristina Ioana Muntean, Franco Maria Nardini, Raffaele Perego
Publié dans: 2023 IEEE International Conference on Web Intelligence and Intelligent Agent Technology (WI-IAT), 2023, ISBN 979-8-3503-0918-8
Éditeur: IEEE
DOI: 10.1109/WI-IAT59888.2023.00013

Efficient Approximate Nearest Neighbor Search on a Raspberry Pi

Auteurs: Silvio Martinico, Franco Maria Nardini, Cosimo Rulli, Rossano Venturini
Publié dans: Proceedings of the 48th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2025
Éditeur: ACM
DOI: 10.1145/3726302.3730268

ReNeuIR at SIGIR 2024: The Third Workshop on Reaching Efficiency in Neural Information Retrieval

Auteurs: Maik Fröbe; Joel Mackenzie; Bhaskar Mitra 0001; Franco Maria Nardini; Martin Potthast
Publié dans: Proceedings of the 47th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2024
Éditeur: ACM
DOI: 10.1145/3626772.3657994

Optimistic Query Routing in Clustering-based Approximate Maximum Inner Product Search

Auteurs: Sebastian Bruch, Aditya Krishnan, Franco Maria Nardini
Publié dans: NeurIPS 2025 The Thirty-Ninth Annual Conference on Neural Information Processing Systems
Éditeur: NeurIPS 2025 The Thirty-Ninth Annual Conference on Neural Information Processing Systems

LR2: A Legal RAG for Legal Reasoning over Cases

Auteurs: Irene Benedetto, Luca Cagliero, Francesco Tarasconi
Publié dans: Frontiers in Artificial Intelligence and Applications, Legal Knowledge and Information Systems, 2025
Éditeur: IOS Press
DOI: 10.3233/FAIA251614

BrightCookies at SemEval-2025 Task 9: Exploring Data Augmentation for Food Hazard Classification

Auteurs: Foteini Papadopoulou, Osman Mutlu, Neris Özen, Bas Van Der Velden, Iris Hendrickx, and Ali Hurriyetoglu
Publié dans: Proceedings of the 19th International Workshop on Semantic Evaluation (SemEval 2025), 2025
Éditeur: ACL ANTHOLOGY

CICLe: Conformal In-Context Learning for Largescale Multi-Class Food Risk Classification

Auteurs: Korbinian Randl; John Pavlopoulos; Aron Henriksson; Tony Lindgren
Publié dans: Findings of the Association for Computational Linguistics ACL 2024, 2024
DOI: 10.48550/ARXIV.2403.11904

Beyond the Veil of Similarity: Quantifying Semantic Continuity in Explainable AI

Auteurs: Qi Huang, Emanuele Mezzi, Osman Mutlu, Miltiadis Kofinas, Vidya Prasad, Shadnan Azwad Khan, Elena Ranguelova, Niki van Stein
Publié dans: Communications in Computer and Information Science, Explainable Artificial Intelligence, 2024
Éditeur: Springer Nature Switzerland
DOI: 10.1007/978-3-031-63787-2_16

Knowledge Extraction in the Αge of LLMs

Auteurs: Bosca, Alessio
Publié dans: 2025
Éditeur: Zenodo
DOI: 10.5281/ZENODO.15411333

Enhancing Conversational Search with Large Language Models

Auteurs: Guido Rocchietti, Cristina Ioana Muntean, Franco Maria Nardini
Publié dans: ERCIM News, Numéro Vol. 136, 2024
Éditeur: ERCIM EEIG

D5.1 Focus Group Recommendations for AI Risk Predictions

Auteurs: Karvounis, Manos
Publié dans: 2023
Éditeur: Zenodo
DOI: 10.5281/ZENODO.14626522

D5.2 Experimental Methodology, Tools & Reports from Experiments

Auteurs: Pavlopoulos, John
Publié dans: 2023
Éditeur: Zenodo
DOI: 10.5281/ZENODO.14626540

D4.3 EFRA API Gateway and Data & Analytics Marketplace

Auteurs: Karvounis, Manos
Publié dans: 2024
Éditeur: Zenodo
DOI: 10.5281/ZENODO.14626431

D1.2 Ongoing Recommendations for EFRA Work

Auteurs: Hürriyetoğlu, Ali; van der Velden, Bas
Publié dans: 2024
Éditeur: Zenodo
DOI: 10.5281/ZENODO.14626378

Project Management Handbook

Auteurs: Thanopoulos Babis
Éditeur: Zenodo

Integrating Ai into Food Safety Workflows

Auteurs: Romanova, Anna
Publié dans: 2025
Éditeur: Zenodo
DOI: 10.5281/ZENODO.17016147

D2.3 Report on Data Expansion and Population

Auteurs: Karvounis, Manos
Publié dans: 2024
Éditeur: Zenodo
DOI: 10.5281/ZENODO.14626423

D1.1 EFRA Requirements Roadmap

Auteurs: Hürriyetoğlu, Ali; van der Velden, Bas
Publié dans: 2024
Éditeur: Zenodo
DOI: 10.5281/ZENODO.14626136

Predicting Corn Infections Using Weather Data and Machine Learning

Auteurs: Rumeau, Morgane; Folnovic, Tanja
Publié dans: 2025
Éditeur: Zenodo
DOI: 10.5281/ZENODO.15632067

D4.1 EFRA Architecture & Green Operations

Auteurs: Trani, Salvatore; Lettich, Francesco
Publié dans: 2024
Éditeur: Zenodo
DOI: 10.5281/ZENODO.14626430

D5.3 Use-case Plan, Reports & Recommendations

Auteurs: Karvounis, Manos
Publié dans: 2024
Éditeur: Zenodo
DOI: 10.5281/ZENODO.14626569

D6.2 Integrated Τoolset for Μultiplying Ιmpact

Auteurs: kotsikoris, vasilis
Publié dans: 2024
Éditeur: Zenodo
DOI: 10.5281/ZENODO.14626672

D7.1 Project Management Handbook

Auteurs: Thanopoulos, Babis
Publié dans: 2023
Éditeur: Zenodo
DOI: 10.5281/ZENODO.14626686

D6.1 Dissemination, Exploitation, Communication Plan

Auteurs: kotsikoris, vasilis
Publié dans: 2023
Éditeur: Zenodo
DOI: 10.5281/ZENODO.14643160

Locality-preserving minimal perfect hashing of k-mers

Auteurs: Giulio Ermanno Pibiri, Yoshihiro Shibuya, Antoine Limasset
Publié dans: Bioinformatics, Numéro 39, 2023, ISSN 1367-4803
Éditeur: Oxford University Press (OUP)
DOI: 10.48550/ARXIV.2210.13097

Bridging Dense and Sparse Maximum Inner Product Search

Auteurs: Sebastian Bruch, Franco Maria Nardini, Amir Ingber, Edo Liberty
Publié dans: ACM Transactions on Information Systems, Numéro 42, 2024, ISSN 1046-8188
Éditeur: Association for Computing Machinery (ACM)
DOI: 10.48550/ARXIV.2309.09013

What Lies Behind Mycotoxin Presence in Animal Feed? A Case Study☆

Auteurs: Maria-Eleni Dimitrakopoulou, George Marinos, Manos Karvounis, Giannis Stoitsis, Nikolaos Manouselis, Charalampos Thanopoulos, Chris Elliott
Publié dans: Journal of Food Protection, Numéro 88, 2025, ISSN 0362-028X
Éditeur: Elsevier BV
DOI: 10.1016/J.JFP.2025.100464

Leveraging Topic Specificity and Social Relationships for Expert Finding in Community Question Answering Platforms

Auteurs: Amendola, Maddalena; Passarella, Andrea; Perego, Raffaele
Publié dans: ACM Transactions on Information Systems, ISSN 1046-8188
Éditeur: ACM
DOI: 10.48550/ARXIV.2407.04018

Automotive fault nowcasting with machine learning and natural language processing

Auteurs: John Pavlopoulos, Alv Romell, Jacob Curman, Olof Steinert, Tony Lindgren, Markus Borg, Korbinian Randl
Publié dans: Machine Learning, Numéro 113, 2023, ISSN 0885-6125
Éditeur: Springer Science and Business Media LLC
DOI: 10.1007/S10994-023-06398-7

The open-closed mod-minimizer algorithm

Auteurs: Ragnar Groot Koerkamp, Daniel Liu, Giulio Ermanno Pibiri
Publié dans: Algorithms for Molecular Biology, Numéro 20, 2025, ISSN 1748-7188
Éditeur: Springer Science and Business Media LLC
DOI: 10.1101/2024.11.02.621600

Federated learning in food research

Auteurs: Zuzanna Fendor; Bas H.M. van der Velden; Xinxin Wang; Andrea Jr. Carnoli; Osman Mutlu; Ali Hürriyetoğlu
Publié dans: Journal of Agriculture and Food Research, 2025, ISSN 2331-8422
Éditeur: ELSEVIER
DOI: 10.48550/ARXIV.2406.06202

Getting off the DIME: Dimension Pruning via Dimension Importance Estimation for Dense Information Retrieval

Auteurs: Guglielmo Faggioli, Nicola Ferro, Raffaele Perego, Nicola Tonellotto
Publié dans: ACM Transactions on Information Systems, Numéro 44, 2025, ISSN 1046-8188
Éditeur: Association for Computing Machinery (ACM)
DOI: 10.1145/3765619

Explainable, Effective, and Efficient Learning-to-Rank Models Using ILMART

Auteurs: Claudio Lucchese, Franco Maria Nardini, Salvatore Orlando, Raffaele Perego, Alberto Veneri
Publié dans: ACM Transactions on Information Systems, Numéro 43, 2025, ISSN 1046-8188
Éditeur: Association for Computing Machinery (ACM)
DOI: 10.1145/3733232

Learning bivariate scoring functions for ranking

Auteurs: Nardini F. M.; Trani R.; Venturini R.
Publié dans: Discover Computing, Numéro Vol. 27, 2024, ISSN 2948-2992
Éditeur: SPRINGER
DOI: 10.1007/S10791-024-09444-7

An Optimal Algorithm for Finding Champions in Tournament Graphs

Auteurs: Beretta L., Nardini F. M., Trani R., Venturini R.
Publié dans: IEEE Transactions on Knowledge and Data Engineering, Numéro Vol. 35, Numéro: 10, 2023, ISSN 1041-4347
Éditeur: Institute of Electrical and Electronics Engineers
DOI: 10.1109/TKDE.2023.3267345

Neural network compression using binarization and few full-precision weights

Auteurs: Franco Maria Nardini; Cosimo Rulli; Salvatore Trani; Rossano Venturini
Publié dans: Information Sciences, Numéro Vol. 716, 2024, ISSN 1872-6291
Éditeur: ELSEVIER
DOI: 10.2139/SSRN.4927691

Comprehensive analysis of PFAS presence from environment to plate

Auteurs: Maria-Eleni Dimitrakopoulou; Manos Karvounis; George Marinos; Zacharoula Theodorakopoulou; Eleni Aloizou; George Petsangourakis; Mihalis Papakonstantinou; Giannis Stoitsis
Publié dans: npj Science of Food, 2024, ISSN 2396-8370
Éditeur: SPRINGER Nature
DOI: 10.1038/S41538-024-00319-1

Explainable, Effective, and Efficient Learning-to-Rank Models Using ILMART

Auteurs: Claudio Lucchese, Franco Maria Nardini, Salvatore Orlando, Raffaele Perego, Alberto Veneri
Publié dans: ACM Transactions on Information Systems, Numéro 43, 2025, ISSN 1046-8188
Éditeur: Association for Computing Machinery (ACM)
DOI: 10.1145/3733232

Efficient Multi-Vector Dense Retrieval Using Bit Vectors

Auteurs: Franco Maria Nardini; Cosimo Rulli; Rossano Venturini
Publié dans: European Conference on Information Retrieval, Numéro Vol. 14609, 2024, ISSN 1611-3349
Éditeur: SPRINGER
DOI: 10.48550/ARXIV.2404.02805

PARK: Personalized academic retrieval with knowledge-graphs

Auteurs: Pranav Kasela, Gabriella Pasi, Raffaele Perego
Publié dans: Information Systems, Numéro 134, 2025, ISSN 0306-4379
Éditeur: Elsevier BV
DOI: 10.1016/J.IS.2025.102574

Early Exit Strategies for Learning-to-Rank Cascades

Auteurs: Francesco Busolin, Claudio Lucchese, Franco Maria Nardini, Salvatore Orlando, Raffaele Perego, Salvatore Trani
Publié dans: IEEE ACCESS, Numéro Vol. 11, 2023, ISSN 2169-3536
Éditeur: IEEE
DOI: 10.1109/ACCESS.2023.3331088

Projection-Displacement-Based Query Performance Prediction for Embedded Space of Dense Retrievers

Auteurs: Suchana Datta, Guglielmo Faggioli, Nicola Ferro, Debasis Ganguly, Cristina Ioana Muntean, Raffaele Perego, Nicola Tonellotto
Publié dans: ACM Transactions on Information Systems, Numéro 44, 2025, ISSN 1046-8188
Éditeur: Association for Computing Machinery (ACM)
DOI: 10.1145/3765617

Meta-colored Compacted de Bruijn Graphs

Auteurs: Giulio Ermanno Pibiri, Jason Fan, Rob Patro
Publié dans: Lecture Notes in Computer Science, 2023, ISSN 2692-8205
Éditeur: Cold Spring Harbor Laboratory
DOI: 10.1101/2023.07.21.550101V2.FULL

Explainable Artificial Intelligence for Deep Learning in Food: Challenges and Opportunities for Food Systems

Auteurs: Osman Mutlu, Bas H.M. van der Velden, Ali Hurriyetoglu, and Anna Fensel
Publié dans: Nature Food, 2025, ISSN 2693-5015
Éditeur: Research Square
DOI: 10.21203/RS.3.RS-7289201/V1

Distilled Neural Networks for Efficient Learning to Rank

Auteurs: Franco Maria Nardini, Cosimo Rulli, Salvatore Trani, Rossano Venturini
Publié dans: IEEE TKDE, Numéro Vol. 35, Numéro: 5, 2024, ISSN 1558-2191
Éditeur: IEEE
DOI: 10.1109/TKDE.2022.3152585

Mind the gap: from plausible to valid self-explanations in large language models

Auteurs: Korbinian Randl, John Pavlopoulos, Aron Henriksson, Tony Lindgren
Publié dans: Machine Learning, Numéro 114, 2025, ISSN 0885-6125
Éditeur: Springer Science and Business Media LLC
DOI: 10.1007/S10994-025-06838-6

Fulgor: a fast and compact k-mer index for large-scale matching and color queries

Auteurs: Jason Fan, Jamshed Khan, Noor Pratap Singh, Giulio Ermanno Pibiri, Rob Patro
Publié dans: Algorithms for Molecular Biology, Numéro 19, 2024, ISSN 1748-7188
Éditeur: Springer Science and Business Media LLC
DOI: 10.1186/S13015-024-00251-9

On weighted k-mer dictionaries

Auteurs: Giulio Ermanno Pibiri
Publié dans: Algorithms for Molecular Biology, Numéro 18, 2023, ISSN 1748-7188
Éditeur: Springer Science and Business Media LLC
DOI: 10.21203/RS.3.RS-2755997/V1

Where the Patterns Are: Repetition-Aware Compression for Colored de Bruijn Graphs

Auteurs: Alessio Campanelli, Giulio Ermanno Pibiri, Jason Fan, Rob Patro
Publié dans: Journal of Computational Biology, ISSN 2692-8205
Éditeur: Cold Spring Harbor Laboratory
DOI: 10.1101/2024.07.09.602727V1.FULL

Caching Historical Embeddings in Conversational Search

Auteurs: Ophir Frieder, Ida Mele, Cristina Ioana Muntean, Franco Maria Nardini, Raffaele Perego, Nicola Tonellotto
Publié dans: ACM Transactions on the Web, Numéro 18, 2024, ISSN 1559-1131
Éditeur: Association for Computing Machinery (ACM)
DOI: 10.48550/ARXIV.2211.14155

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

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