Zobrazeno 1 - 10
of 848
pro vyhledávání: '"Barone Antonio A"'
Autor:
Rubavicius, Rimvydas, Miceli-Barone, Antonio Valerio, Lascarides, Alex, Ramamoorthy, Subramanian
Cyber-physical systems like autonomous vehicles are tested in simulation before deployment, using domain-specific programs for scenario specification. To aid the testing of autonomous vehicles in simulation, we design a natural language interface, us
Externí odkaz:
http://arxiv.org/abs/2410.09829
LLM-based NLP systems typically work by embedding their input data into prompt templates which contain instructions and/or in-context examples, creating queries which are submitted to a LLM, and then parsing the LLM response in order to generate the
Externí odkaz:
http://arxiv.org/abs/2410.05047
Large Language Models (LLMs) are increasingly becoming the preferred foundation platforms for many Natural Language Processing tasks such as Machine Translation, owing to their quality often comparable to or better than task-specific models, and the
Externí odkaz:
http://arxiv.org/abs/2403.09832
Simulation is an invaluable tool for developing and evaluating controllers for self-driving cars. Current simulation frameworks are driven by highly-specialist domain specific languages, and so a natural language interface would greatly enhance usabi
Externí odkaz:
http://arxiv.org/abs/2310.17372
Space agencies execute complex satellite operations that need to be supported by the technical knowledge contained in their extensive information systems. Knowledge bases (KB) are an effective way of storing and accessing such information at scale. I
Externí odkaz:
http://arxiv.org/abs/2305.19734
Large Language Models (LLMs) have successfully been applied to code generation tasks, raising the question of how well these models understand programming. Typical programming languages have invariances and equivariances in their semantics that human
Externí odkaz:
http://arxiv.org/abs/2305.15507
Publikováno v:
Brazilian Journal of Infectious Diseases, Vol 5, Iss 3, Pp 124-129 (2001)
This study aimed at evaluating the efficacy and safety of meropenem as first choice treatment for nosocomial pneumonia (NP) in intensive care units (ICU) in Hospital das Clínicas (HC) - University of São Paulo; a hospital with high incidence of ant
Externí odkaz:
https://doaj.org/article/150a79c2046c4bf087c682bf566f83c5
Autor:
MENDES-CORRÊA Maria Cássia J., BARONE Antonio Alci, CAVALHEIRO Norma de Paula, TENGAN Fátima Mitiko, GUASTINI Cristina
Publikováno v:
Revista do Instituto de Medicina Tropical de São Paulo, Vol 42, Iss 2, Pp 81-85 (2000)
The objective of this study was to evaluate the prevalence of hepatitis B and C viruses in a group of HIV infected patients, followed at a single institution since 1996. 1,693 HIV positive patients (1,162 male, 531 female) were tested for HBV infecti
Externí odkaz:
https://doaj.org/article/238e73bb4b574a32aa88cfa440a67ff6
Neural machine learning models can successfully model language that is similar to their training distribution, but they are highly susceptible to degradation under distribution shift, which occurs in many practical applications when processing out-of
Externí odkaz:
http://arxiv.org/abs/2110.13229
Autor:
Haddow, Barry, Bawden, Rachel, Barone, Antonio Valerio Miceli, Helcl, Jindřich, Birch, Alexandra
We present a survey covering the state of the art in low-resource machine translation research. There are currently around 7000 languages spoken in the world and almost all language pairs lack significant resources for training machine translation mo
Externí odkaz:
http://arxiv.org/abs/2109.00486