Zobrazeno 1 - 10
of 17 949
pro vyhledávání: '"P, Branco"'
Autor:
Zhu, Shaolin, Supryadi, Xu, Shaoyang, Sun, Haoran, Pan, Leiyu, Cui, Menglong, Du, Jiangcun, Jin, Renren, Branco, António, Xiong, Deyi
This paper provides a comprehensive survey of the latest research on multilingual large language models (MLLMs). MLLMs not only are able to understand and generate language across linguistic boundaries, but also represent an important advancement in
Externí odkaz:
http://arxiv.org/abs/2411.11072
Publikováno v:
12th International Conference on Urban History (2014)
Project Lx Conventos aims to study, in a systematic and integrated manner, the impact of the dissolution of religious orders in the dynamics of urban transformation in nineteenth century Lisbon. After the liberal revolution and the civil war, in the
Externí odkaz:
http://arxiv.org/abs/2410.19455
Sentence encoder encode the semantics of their input, enabling key downstream applications such as classification, clustering, or retrieval. In this paper, we present Serafim PT*, a family of open-source sentence encoders for Portuguese with various
Externí odkaz:
http://arxiv.org/abs/2407.19527
A numerical semigroup $S$ is coated with odd elements (Coe-semigroup), if $\left\{x-1, x+1\right\}\subseteq S$ for all odd element $x$ in $S$. In this note, we will study this kind of numerical semigroups. In particular, we are interested in the stud
Externí odkaz:
http://arxiv.org/abs/2407.17153
Autonomously tailoring content to a set of predetermined affective patterns has long been considered the holy grail of affect-aware human-computer interaction at large. The experience-driven procedural content generation framework realises this visio
Externí odkaz:
http://arxiv.org/abs/2408.06346
Autor:
Rodrigues, João, Branco, António
Retrieval-augmented generation resorts to content retrieved from external sources in order to leverage the performance of large language models in downstream tasks. The excessive volume of retrieved content, the possible dispersion of its parts, or t
Externí odkaz:
http://arxiv.org/abs/2407.03955
Comparing fingers and gestures for bci control using an optimized classical machine learning decoder
Severe impairment of the central motor network can result in loss of motor function, clinically recognized as Locked-in Syndrome. Advances in Brain-Computer Interfaces offer a promising avenue for partially restoring compromised communicative abiliti
Externí odkaz:
http://arxiv.org/abs/2406.17391
Numerical ``direct'' approaches to time-optimal control often fail to find solutions that are singular in the sense of the Pontryagin Maximum Principle, performing better when searching for saturated (bang-bang) solutions. In previous work by one of
Externí odkaz:
http://arxiv.org/abs/2406.07644
Autor:
Costa, G., Dumont, T., Lançon, A., Palacios, A., Charbonnel, C., Prugniel, P., Ekstrom, S., Georgy, C., Branco, V., Coelho, P., Martins, L., Borisov, S., Voggel, K., Chantereau, W.
Publikováno v:
A&A 690, A22 (2024)
A common property of globular clusters (GC) is to host multiple populations characterized by peculiar chemical abundances. Recent photometric studies suggest that the He content could vary between the populations of a GC by up to $\Delta$He $\sim$ 0.
Externí odkaz:
http://arxiv.org/abs/2405.16505
In the field of autonomous Unmanned Aerial Vehicles (UAVs) landing, conventional approaches fall short in delivering not only the required precision but also the resilience against environmental disturbances. Yet, learning-based algorithms can offer
Externí odkaz:
http://arxiv.org/abs/2405.12681