Zobrazeno 1 - 10
of 29 220
pro vyhledávání: '"de Melo, P."'
Autor:
Yeghiazaryan, Mikael, Namburu, Sai Abhishek Siddhartha, Kim, Emily, Panev, Stanislav, de Melo, Celso, Lance, Brent, De la Torre, Fernando, Hodgins, Jessica K.
Detecting vehicles in aerial images can be very challenging due to complex backgrounds, small resolution, shadows, and occlusions. Despite the effectiveness of SOTA detectors such as YOLO, they remain vulnerable to adversarial attacks (AAs), compromi
Externí odkaz:
http://arxiv.org/abs/2412.16358
The emergence of finetuning-as-a-service has revealed a new vulnerability in large language models (LLMs). A mere handful of malicious data uploaded by users can subtly manipulate the finetuning process, resulting in an alignment-broken model. Existi
Externí odkaz:
http://arxiv.org/abs/2412.12497
Autor:
Zhang, Xiechi, Zheng, Shunfan, Wang, Linlin, de Melo, Gerard, Cao, Zhu, Wang, Xiaoling, He, Liang
As multimodal large language models (MLLMs) gain prominence in the medical field, the need for precise evaluation methods to assess their effectiveness has become critical. While benchmarks provide a reliable means to evaluate the capabilities of MLL
Externí odkaz:
http://arxiv.org/abs/2412.11453
Autor:
Lombardo, L., Hansen, C. J., Rizzuti, F., Cescutti, G., Mashonkina, L. I., François, P., Bonifacio, P., Caffau, E., Puls, A Alencastro, de Melo, R. Fernandes, Gallagher, A. J., Skúladóttir, Á., Koch-Hansen, A. J., Sbordone, L.
The chemical abundances of elements such as barium and the lanthanides are essential to understand the nucleosynthesis of heavy elements in the early Universe as well as the contribution of different neutron capture processes (for example slow versus
Externí odkaz:
http://arxiv.org/abs/2412.09141
3D spatial reasoning is the ability to analyze and interpret the positions, orientations, and spatial relationships of objects within the 3D space. This allows models to develop a comprehensive understanding of the 3D scene, enabling their applicabil
Externí odkaz:
http://arxiv.org/abs/2412.07825
Large Language Models are known to capture real-world knowledge, allowing them to excel in many downstream tasks. Despite recent advances, these models are still prone to what are commonly known as hallucinations, causing them to emit unwanted and fa
Externí odkaz:
http://arxiv.org/abs/2412.06676
Autor:
Mital, Nitish, Malzard, Simon, Walters, Richard, De Melo, Celso M., Rao, Raghuveer, Nockles, Victoria
In many computer vision domains the collection of sufficient real-world data is challenging and can severely impact model performance, particularly when running inference on samples that are unseen or underrepresented in training. Synthetically gener
Externí odkaz:
http://arxiv.org/abs/2412.01477
Autor:
Puls, Arthur Alencastro, Kuske, Jan, Hansen, Camilla Juul, Lombardo, Linda, Visentin, Giorgio, Arcones, Almudena, de Melo, Raphaela Fernandes, Reichert, Moritz, Bonifacio, Piercarlo, Caffau, Elisabetta, Fritzsche, Stephan
The third r-process peak (Os, Ir, Pt) is poorly understood due to observational challenges, with spectral lines located in the blue or near-ultraviolet region of stellar spectra. These challenges need to be overcome for a better understanding of the
Externí odkaz:
http://arxiv.org/abs/2412.00195
Autor:
Romanou, Angelika, Foroutan, Negar, Sotnikova, Anna, Chen, Zeming, Nelaturu, Sree Harsha, Singh, Shivalika, Maheshwary, Rishabh, Altomare, Micol, Haggag, Mohamed A., A, Snegha, Amayuelas, Alfonso, Amirudin, Azril Hafizi, Aryabumi, Viraat, Boiko, Danylo, Chang, Michael, Chim, Jenny, Cohen, Gal, Dalmia, Aditya Kumar, Diress, Abraham, Duwal, Sharad, Dzenhaliou, Daniil, Florez, Daniel Fernando Erazo, Farestam, Fabian, Imperial, Joseph Marvin, Islam, Shayekh Bin, Isotalo, Perttu, Jabbarishiviari, Maral, Karlsson, Börje F., Khalilov, Eldar, Klamm, Christopher, Koto, Fajri, Krzemiński, Dominik, de Melo, Gabriel Adriano, Montariol, Syrielle, Nan, Yiyang, Niklaus, Joel, Novikova, Jekaterina, Ceron, Johan Samir Obando, Paul, Debjit, Ploeger, Esther, Purbey, Jebish, Rajwal, Swati, Ravi, Selvan Sunitha, Rydell, Sara, Santhosh, Roshan, Sharma, Drishti, Skenduli, Marjana Prifti, Moakhar, Arshia Soltani, Moakhar, Bardia Soltani, Tamir, Ran, Tarun, Ayush Kumar, Wasi, Azmine Toushik, Weerasinghe, Thenuka Ovin, Yilmaz, Serhan, Zhang, Mike, Schlag, Imanol, Fadaee, Marzieh, Hooker, Sara, Bosselut, Antoine
The performance differential of large language models (LLM) between languages hinders their effective deployment in many regions, inhibiting the potential economic and societal value of generative AI tools in many communities. However, the developmen
Externí odkaz:
http://arxiv.org/abs/2411.19799
Autor:
Hipólito-Ricaldi, Wiliam S., von Marttens, Rodrigo, de Melo-Santos, Felipe, Rodrigues, Davi C.
We investigate the observational implications of a gravitational model wherein the gravitational constant $G$ and the cosmological constant $\Lambda$ exhibit scale-dependent behavior at the perturbative level, while preserving the General Relativity
Externí odkaz:
http://arxiv.org/abs/2411.12097