Zobrazeno 1 - 10
of 13 853
pro vyhledávání: '"P, Camara"'
Challenges in the automated evaluation of Retrieval-Augmented Generation (RAG) Question-Answering (QA) systems include hallucination problems in domain-specific knowledge and the lack of gold standard benchmarks for company internal tasks. This resul
Externí odkaz:
http://arxiv.org/abs/2406.14783
We present a novel neural encoder system for acoustic-to-articulatory inversion. We leverage the Pink Trombone voice synthesizer that reveals articulatory parameters (e.g tongue position and vocal cord configuration). Our system is designed to identi
Externí odkaz:
http://arxiv.org/abs/2406.14379
Nuclear magnetic resonance spectroscopy is a prominent analytical tool, with applications throughout chemistry, medicine and solid-state physics. While conventional NMR spectrometers require large magnetic fields to interrogate a sample, recent advan
Externí odkaz:
http://arxiv.org/abs/2406.09340
In the context of the 2HDM, and assuming that neutrinos acquire masses via the Weinberg operator, we perform a systematic analysis to determine the minimal quark and lepton flavour patterns, compatible with masses, mixing and CP violation data, reali
Externí odkaz:
http://arxiv.org/abs/2406.03331
Autor:
Melo, Edypo, Souto, Diogo, Cunha, Katia, Smith, Verne V., Wanderley, Fábio, Grilo, Vinicius, Camara, Deusalete, Murta, Kely, Hejazi, Neda, Crossfield, Ian J. M., Teske, Johanna, Luque, Rafael, Zhang, Michael, Bean, Jacob
Exoplanets hosting M dwarfs are the best targets to characterize Earth-like or super-Earth planetary atmospheres with the James Webb Space Telescope (JWST). We determine detailed stellar parameters ($T_{\rm eff}$, log$g$, and $\xi$) and individual ab
Externí odkaz:
http://arxiv.org/abs/2406.00111
Assume interest is in sampling from a probability distribution $\mu$ defined on $(\mathsf{Z},\mathscr{Z})$. We develop a framework to construct sampling algorithms taking full advantage of numerical integrators of ODEs, say $\psi\colon\mathsf{Z}\righ
Externí odkaz:
http://arxiv.org/abs/2404.13302
Autor:
Alameda-Pineda, Xavier, Addlesee, Angus, García, Daniel Hernández, Reinke, Chris, Arias, Soraya, Arrigoni, Federica, Auternaud, Alex, Blavette, Lauriane, Beyan, Cigdem, Camara, Luis Gomez, Cohen, Ohad, Conti, Alessandro, Dacunha, Sébastien, Dondrup, Christian, Ellinson, Yoav, Ferro, Francesco, Gannot, Sharon, Gras, Florian, Gunson, Nancie, Horaud, Radu, D'Incà, Moreno, Kimouche, Imad, Lemaignan, Séverin, Lemon, Oliver, Liotard, Cyril, Marchionni, Luca, Moradi, Mordehay, Pajdla, Tomas, Pino, Maribel, Polic, Michal, Py, Matthieu, Rado, Ariel, Ren, Bin, Ricci, Elisa, Rigaud, Anne-Sophie, Rota, Paolo, Romeo, Marta, Sebe, Nicu, Sieińska, Weronika, Tandeitnik, Pinchas, Tonini, Francesco, Turro, Nicolas, Wintz, Timothée, Yu, Yanchao
Despite the many recent achievements in developing and deploying social robotics, there are still many underexplored environments and applications for which systematic evaluation of such systems by end-users is necessary. While several robotic platfo
Externí odkaz:
http://arxiv.org/abs/2404.07560
Publikováno v:
JHEP06(2024)027
The Riemann-Hilbert approach, in conjunction with the canonical Wiener-Hopf factorisation of certain matrix functions called monodromy matrices, enables one to obtain explicit solutions to the non-linear field equations of some gravitational theories
Externí odkaz:
http://arxiv.org/abs/2404.03373
The merger of two magnetized compact objects, such as neutron stars, forms a compact object which may launch a relativistic and collimated jet. Numerical simulations of the process show that a dense and highly magnetized medium surrounds the system.
Externí odkaz:
http://arxiv.org/abs/2403.17086
Bayesian active learning is based on information theoretical approaches that focus on maximising the information that new observations provide to the model parameters. This is commonly done by maximising the Bayesian Active Learning by Disagreement (
Externí odkaz:
http://arxiv.org/abs/2402.11973