Zobrazeno 1 - 10
of 690
pro vyhledávání: '"P. Zuccon"'
Autor:
S. Bartocci, R. Battiston, S. Benella, S. Beolè, W. J. Burger, P. Cipollone, A. Contin, M. Cristoforetti, C. De Donato, C. De Santis, A. Di Luca, F. M. Follega, G. Gebbia, R. Iuppa, M. Laurenza, A. Lega, M. Lolli, M. Martucci, G. Masciantonio, M. Mergè, M. Mese, C. Neubuser, R. Nicolaidis, F. Nozzoli, A. Oliva, G. Osteria, F. Palma, B. Panico, F. Perfetto, A. Perinelli, P. Picozza, E. Ricci, M. Ricci, S. B. Ricciarini, Z. Sahnoun, U. Savino, V. Scotti, M. Sorbara, A. Sotgiu, R. Sparvoli, P. Ubertini, V. Vilona, S. Zoffoli, P. Zuccon
Publikováno v:
The Astrophysical Journal, Vol 974, Iss 2, p 176 (2024)
The intricate behavior of particle acceleration and transport mechanisms complicates the overall efforts in formulating a comprehensive understanding of solar energetic particle (SEP) events; these efforts include observations of low-energy particles
Externí odkaz:
https://doaj.org/article/fedc0cdc35a441a7933e8233fb8a059c
Autor:
M. Martucci, R. Ammendola, D. Badoni, S. Bartocci, R. Battiston, S. Beolè, W. J. Burger, D. Campana, G. Castellini, P. Cipollone, S. Coli, L. Conti, A. Contin, M. Cristoforetti, G. D’Angelo, C. De Donato, C. De Santis, A. Di Luca, F. M. Follega, G. Gebbia, R. Iuppa, A. Lega, M. Lolli, N. Marcelli, G. Masciantonio, M. Mergè, M. Mese, C. Neubüser, F. Nozzoli, A. Oliva, G. Osteria, L. Pacini, F. Palma, F. Palmonari, B. Panico, A. Parmentier, S. Perciballi, F. Perfetto, P. Picozza, M. Pozzato, G. M. Rebustini, E. Ricci, M. Ricci, S. B. Ricciarini, U. Savino, Z. Sahnoun, V. Scotti, A. Sotgiu, R. Sparvoli, P. Ubertini, V. Vilona, V. Vitale, S. Zoffoli, P. Zuccon, O. P. M. Aslam, M. D. Ngobeni, M. S. Potgieter
Publikováno v:
The Astrophysical Journal Letters, Vol 945, Iss 2, p L39 (2023)
Time-dependent energy spectra of galactic cosmic rays (GCRs) carry crucial information regarding their origin and propagation throughout the interstellar environment. When observed at the Earth, after traversing the interplanetary medium, such spectr
Externí odkaz:
https://doaj.org/article/b8ea916360bd4c22af329ed2f2b52bff
Autor:
R. Battiston, C. Neubüser, F. M. Follega, R. Iuppa, V. Vitale, R. Ammendola, D. Badoni, S. Bartocci, A. Bazzano, S. Beolè, I. Bertello, W. J. Burger, D. Campana, A. Cicone, P. Cipollone, S. Coli, L. Conti, A. Contin, M. Cristoforetti, G. D’Angelo, F. De Angelis, C. De Donato, C. De Santis, P. Diego, A. Di Luca, E. Fiorenza, G. Gebbia, A. Lega, M. Lolli, B. Martino, M. Martucci, G. Masciantonio, M. Mergè, M. Mese, A. Morbidini, F. Nuccilli, F. Nozzoli, A. Oliva, G. Osteria, E. Papini, F. Palma, F. Palmonari, A. Parmentier, B. Panico, S. Perciballi, F. Perfetto, A. Perinelli, P. Picozza, M. Piersanti, M. Pozzato, G. Rebustini, D. Recchiuti, E. Ricci, M. Ricci, J. Rodi, A. Russi, S. B. Ricciarini, Z. Sahnoun, U. Savino, V. Scotti, X. Shen, A. Sotgiu, R. Sparvoli, S. Tofani, P. Ubertini, N. Vertolli, V. Vilona, U. Zannoni, Z. Zeren, S. Zoffoli, P. Zuccon
Publikováno v:
The Astrophysical Journal Letters, Vol 946, Iss 1, p L29 (2023)
High-energy, long gamma-ray bursts (GRBs) can be generated by the core collapse of massive stars at the end of their lives. When they happen in the close-by universe they can be exceptionally bright, as seen from the Earth in the case of the recent,
Externí odkaz:
https://doaj.org/article/a26169c0241b4e06b6ea8fcba4266db4
Effective approaches that can scale embedding model depth (i.e. layers) and embedding size allow for the creation of models that are highly scalable across different computational resources and task requirements. While the recently proposed 2D Matryo
Externí odkaz:
http://arxiv.org/abs/2410.13230
The emergence of Vec2Text -- a method for text embedding inversion -- has raised serious privacy concerns for dense retrieval systems which use text embeddings. This threat comes from the ability for an attacker with access to embeddings to reconstru
Externí odkaz:
http://arxiv.org/abs/2410.06628
Accurately estimating model performance poses a significant challenge, particularly in scenarios where the source and target domains follow different data distributions. Most existing performance prediction methods heavily rely on the source data in
Externí odkaz:
http://arxiv.org/abs/2408.02209
Autor:
Khramtsova, Ekaterina, Leelanupab, Teerapong, Zhuang, Shengyao, Baktashmotlagh, Mahsa, Zuccon, Guido
In this demo we present a web-based application for selecting an effective pre-trained dense retriever to use on a private collection. Our system, DenseQuest, provides unsupervised selection and ranking capabilities to predict the best dense retrieve
Externí odkaz:
http://arxiv.org/abs/2407.06685
The goal of screening prioritisation in systematic reviews is to identify relevant documents with high recall and rank them in early positions for review. This saves reviewing effort if paired with a stopping criterion, and speeds up review completio
Externí odkaz:
http://arxiv.org/abs/2407.00635
We provide a systematic understanding of the impact of specific components and wordings used in prompts on the effectiveness of rankers based on zero-shot Large Language Models (LLMs). Several zero-shot ranking methods based on LLMs have recently bee
Externí odkaz:
http://arxiv.org/abs/2406.14117
Autor:
Schlatt, Ferdinand, Fröbe, Maik, Scells, Harrisen, Zhuang, Shengyao, Koopman, Bevan, Zuccon, Guido, Stein, Benno, Potthast, Martin, Hagen, Matthias
Cross-encoders distilled from large language models (LLMs) are often more effective re-rankers than cross-encoders fine-tuned on manually labeled data. However, the distilled models usually do not reach their teacher LLM's effectiveness. To investiga
Externí odkaz:
http://arxiv.org/abs/2405.07920