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pro vyhledávání: '"DeMartini P"'
Autor:
Hlaváček Josef
Monografie o životě a díle českého sochaře generace 60.let a tendencí informelu.
Autor:
Davide Mastrantonio
Publikováno v:
Italiano a scuola, Vol 6, Pp 201-214 (2024)
Externí odkaz:
https://doaj.org/article/19c3e3bd03f74c4a8c21df8d04aebff5
Autor:
Eleonora Zucchini
Publikováno v:
Italiano a scuola, Vol 4, Pp 365-368 (2023)
Externí odkaz:
https://doaj.org/article/2c6fca0000294f039a410e1a263910c7
Human-annotated content is often used to train machine learning (ML) models. However, recently, language and multi-modal foundational models have been used to replace and scale-up human annotator's efforts. This study compares human-generated and ML-
Externí odkaz:
http://arxiv.org/abs/2411.18968
Autor:
Ariai, Farid, Demartini, Gianluca
Natural Language Processing is revolutionizing the way legal professionals and laypersons operate in the legal field. The considerable potential for Natural Language Processing in the legal sector, especially in developing computational tools for var
Externí odkaz:
http://arxiv.org/abs/2410.21306
Aligning the output of Large Language Models (LLMs) with human preferences (e.g., by means of reinforcement learning with human feedback, or RLHF) is essential for ensuring their effectiveness in real-world scenarios. Despite significant advancements
Externí odkaz:
http://arxiv.org/abs/2410.16586
We present a novel approach for enhancing diversity and control in data annotation tasks by personalizing large language models (LLMs). We investigate the impact of injecting diverse persona descriptions into LLM prompts across two studies, exploring
Externí odkaz:
http://arxiv.org/abs/2410.11745
Autor:
MARIO GÓMEZ-TORRENTE
Publikováno v:
Manuscrito, Vol 43, Iss 4, Pp 215-220 (2020)
Abstract Thainá Demartini has criticized my view that ordinary natural kind terms refer to vague non-scientific kinds and defended the more traditional view that they refer to precise kinds discovered by science. In this note I reject Demartini’s
Externí odkaz:
https://doaj.org/article/458185b5574d49498173729fafbc4243
Autor:
DeMartini, D., Alhassid, Y.
We compute the magnetic dipole (M1) $\gamma$-ray strength functions ($\gamma$SF) for the odd-mass lanthanides $^{143-151}$Nd and $^{147-153}$Sm using the shell-model Monte Carlo method in combination with the static-path approximation and the maximum
Externí odkaz:
http://arxiv.org/abs/2410.00109
While model fairness improvement has been explored previously, existing methods invariably rely on adjusting explicit sensitive attribute values in order to improve model fairness in downstream tasks. However, we observe a trend in which sensitive de
Externí odkaz:
http://arxiv.org/abs/2409.18470