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of 60
pro vyhledávání: '"Lipizzi, Carlo"'
Multimodal generative models are crucial for various applications. We propose an approach that combines an expressive energy-based model (EBM) prior with Markov Chain Monte Carlo (MCMC) inference in the latent space for multimodal generation. The EBM
Externí odkaz:
http://arxiv.org/abs/2408.10467
Autor:
Mondal, Devam, Lipizzi, Carlo
In light of recent legal allegations brought by publishers, newspapers, and other creators of copyrighted corpora against large language model developers who use their copyrighted materials for training or fine-tuning purposes, we propose a novel sys
Externí odkaz:
http://arxiv.org/abs/2407.02659
Autor:
Mondal, Devam, Lipizzi, Carlo
Despite the growing capabilities of large language models, there exists concerns about the biases they develop. In this paper, we propose a novel, automated mechanism for debiasing through specified dataset augmentation in the lens of bias producers
Externí odkaz:
http://arxiv.org/abs/2403.13925
Autor:
Lipizzi, Carlo
Large Language Models (LLM) have taken the front seat in most of the news since November 2022, when ChatGPT was introduced. After more than one year, one of the major reasons companies are resistant to adopting them is the limited confidence they hav
Externí odkaz:
http://arxiv.org/abs/2403.04964
Formal method-based analysis of the 5G Wireless Communication Protocol is crucial for identifying logical vulnerabilities and facilitating an all-encompassing security assessment, especially in the design phase. Natural Language Processing (NLP) assi
Externí odkaz:
http://arxiv.org/abs/2308.03277
Autor:
Yuan, Shiyu, Lipizzi, Carlo
Information extraction (IE) plays very important role in natural language processing (NLP) and is fundamental to many NLP applications that used to extract structured information from unstructured text data. Heuristic-based searching and data-driven
Externí odkaz:
http://arxiv.org/abs/2307.00130
The automatic extraction of structure from text can be difficult for machines. Yet, the elicitation of this information can provide many benefits and opportunities for various applications. Benefits have also been identified for the area of Requireme
Externí odkaz:
http://arxiv.org/abs/2202.05065
This work introduces a new method to consider subjectivity and general context dependency in text analysis and uses as example the detection of emotions conveyed in text. The proposed method takes into account subjectivity using a computational versi
Externí odkaz:
http://arxiv.org/abs/2005.06059
Autor:
Babvey, Pouria, Capela, Fernanda, Cappa, Claudia *, Lipizzi, Carlo, Petrowski, Nicole, Ramirez-Marquez, Jose
Publikováno v:
In Child Abuse & Neglect June 2021 116 Part 2
Autor:
Mondal, Devam, Lipizzi, Carlo
Publikováno v:
Computers (2073-431X); Jun2024, Vol. 13 Issue 6, p141, 9p