Zobrazeno 1 - 10
of 12 193
pro vyhledávání: '"Nissim, A"'
This paper presents a novel technique for camera calibration using a single view that incorporates a spherical mirror. Leveraging the distinct characteristics of the sphere's contour visible in the image and its reflections, we showcase the effective
Externí odkaz:
http://arxiv.org/abs/2409.16386
Autor:
Fraija, Nissim, Veres, P., Kamenetskaia, B. Betancourt, Galvan-Gamez, A., Dainotti, M. G., Dichiara, Simone, Becerra, R. L.
Energetic GeV photons expected from the closest and the most energetic Gamma-ray bursts (GRBs) provide an unique opportunity to study the very-high-energy emission as well as the possible correlations with lower energy bands in realistic GRB afterglo
Externí odkaz:
http://arxiv.org/abs/2409.12166
A firm seeks to analyze a dataset and to release the results. The dataset contains information about individual people, and the firm is subject to some regulation that forbids the release of the dataset itself. The regulation also imposes conditions
Externí odkaz:
http://arxiv.org/abs/2408.14740
Axion Like Particles (ALPs) can be produced in Gamma Ray Bursts, altering the polarization of the electromagnetic emission in these events. For the first time, we derive bounds on the axion-photon coupling from polarization measurements of GRB 221009
Externí odkaz:
http://arxiv.org/abs/2408.07352
Rebuses are puzzles requiring constrained multi-step reasoning to identify a hidden phrase from a set of images and letters. In this work, we introduce a large collection of verbalized rebuses for the Italian language and use it to assess the rebus-s
Externí odkaz:
http://arxiv.org/abs/2408.00584
Estimating the difficulty of multiple-choice questions would be great help for educators who must spend substantial time creating and piloting stimuli for their tests, and for learners who want to practice. Supervised approaches to difficulty estimat
Externí odkaz:
http://arxiv.org/abs/2407.05327
Activation steering methods were shown to be effective in conditioning language model generation by additively intervening over models' intermediate representations. However, the evaluation of these techniques has so far been limited to single condit
Externí odkaz:
http://arxiv.org/abs/2406.17563
Credit attribution is crucial across various fields. In academic research, proper citation acknowledges prior work and establishes original contributions. Similarly, in generative models, such as those trained on existing artworks or music, it is imp
Externí odkaz:
http://arxiv.org/abs/2406.15916
Autor:
Occhipinti, Daniela, Marchi, Michele, Mondella, Irene, Lai, Huiyuan, Dell'Orletta, Felice, Nissim, Malvina, Guerini, Marco
Automatic methods for generating and gathering linguistic data have proven effective for fine-tuning Language Models (LMs) in languages less resourced than English. Still, while there has been emphasis on data quantity, less attention has been given
Externí odkaz:
http://arxiv.org/abs/2406.07288
Autor:
Lai, Huiyuan, Nissim, Malvina
Large language models (LLMs) with Chain-of-thought (CoT) have recently emerged as a powerful technique for eliciting reasoning to improve various downstream tasks. As most research mainly focuses on English, with few explorations in a multilingual co
Externí odkaz:
http://arxiv.org/abs/2406.02301