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pro vyhledávání: '"P, PIN"'
Large Language Models (LLMs) are increasingly being integrated into services such as ChatGPT to provide responses to user queries. To mitigate potential harm and prevent misuse, there have been concerted efforts to align the LLMs with human values an
Externí odkaz:
http://arxiv.org/abs/2412.18171
Publikováno v:
AAAI 2025
The emergence of Vision-Language Models (VLMs) is a significant advancement in integrating computer vision with Large Language Models (LLMs) to enhance multi-modal machine learning capabilities. However, this progress has also made VLMs vulnerable to
Externí odkaz:
http://arxiv.org/abs/2412.17544
Autor:
Aguerre, X., Arya, R., Barabash, A., Basharina-Freshville, A., Bongrand, M., Bourgeois, Ch., Boursette, D., Breton, D., Breier, R., Busto, J., Calvez, S., Cerna, C., Ceschia, M., Chauveau, E., Dawson, L., Duchesneau, D., Evans, J., Filosofov, D. V., Girard-Carillo, C., Guillon, B., Granjon, M., Hoballah, M., Hodák, R., Horkley, J., Huber, A., Hussain, H., Jeremie, A., Jullian, S., Kaizer, J., Klimenko, A. A., Kochetov, O., Koňařík, F., Konovalov, S., Křižák, T., Lahaie, A., Lang, K., Lemière, Y., Li, E., Loaiza, P., Maalmi, J., Macko, M., Marquet, C., Mauger, F., Mendl, A., Minotti, A., Morgan, B., Nemchenok, I., Nomachi, M., Palušová, V., Patrick, C., Pape, E., Perrot, F., Petro, M., Pin, A., Piquemal, F., Povinec, P., Pratt, S., Proga, M., Quinn, W., Rahimov, A. V., Ramachers, Y., Riddle, C., Rukhadze, N. I., Saakyan, R., Salazar, R., Sedgbeer, J., Simard, L., Šimkovic, F., Smolnikov, A. A., Söldner-Rembold, S., Štekl, I., Suhonen, J., Tedjditi, H., Thomas, J., Timkin, V., Tretyak, V., Turnbull, G., Vereshchaka, Y., Waters, D., Yumatov, V.
The SuperNEMO experiment is searching for neutrinoless double beta decay of \textsuperscript{82}Se, with the unique combination of a tracking detector and a segmented calorimeter. This feature allows to detect the two electrons emitted in the decay a
Externí odkaz:
http://arxiv.org/abs/2412.18021
Electromyography (EMG) signals are widely used in human motion recognition and medical rehabilitation, yet their variability and susceptibility to noise significantly limit the reliability of myoelectric control systems. Existing recognition algorith
Externí odkaz:
http://arxiv.org/abs/2412.15819
Solving complex reasoning tasks is a key real-world application of agents. Thanks to the pretraining of Large Language Models (LLMs) on code data, recent approaches like CodeAct successfully use code as LLM agents' action, achieving good results. How
Externí odkaz:
http://arxiv.org/abs/2412.15305
Autor:
Chiu, Pin-Yen, Wu, Dai-Jie, Chu, Po-Hsun, Hsu, Chia-Hsuan, Chiu, Hsiang-Chen, Wang, Chih-Yu, Chen, Jun-Cheng
Kinship face synthesis is a challenging problem due to the scarcity and low quality of the available kinship data. Existing methods often struggle to generate descendants with both high diversity and fidelity while precisely controlling facial attrib
Externí odkaz:
http://arxiv.org/abs/2412.10785
Autor:
Liao, Pin-Yu, Su, Guan-Ming, Schive, Hsi-Yu, Kunkel, Alexander, Huang, Hsinhao, Chiueh, Tzihong
Soliton cores at the center of fuzzy dark matter (FDM) halos provide a promising way to distinguish FDM from other dark matter models. However, the relation between solitons and their host halos remains contentious. Here, we rigorously examine this s
Externí odkaz:
http://arxiv.org/abs/2412.09908
Fine-grained remote sensing image segmentation is essential for accurately identifying detailed objects in remote sensing images. Recently, vision transformer models (VTMs) pre-trained on large-scale datasets have demonstrated strong zero-shot genera
Externí odkaz:
http://arxiv.org/abs/2412.06664
In vision-language models (VLMs), the ability to perceive and interpret color and physical environment is crucial for achieving contextually accurate understanding and interaction. However, despite advances in multimodal modeling, there remains a sig
Externí odkaz:
http://arxiv.org/abs/2412.03927
Autor:
Takano, Satoru, Shimoda, Tomofumi, Oshima, Yuka, Ooi, Ching Pin, Forsyth, Perry William Fox, Cao, Mengdi, Komori, Kentaro, Michimura, Yuta, Sugimoto, Ryosuke, Kame, Nobuki, Watada, Shingo, Yokozawa, Takaaki, Miyoki, Shinji, Washimi, Tatsuki, Ando, Masaki
Publikováno v:
Galaxies 2024, 12(6), 78
The Torsion-Bar Antenna (TOBA) is a torsion pendulum-based gravitational detector developed to observe gravitational waves in frequencies between 1 mHz and 10 Hz. The low resonant frequency of the torsion pendulum enables observation in this frequenc
Externí odkaz:
http://arxiv.org/abs/2412.01323