Zobrazeno 1 - 10
of 3 162
pro vyhledávání: '"A. Mazal"'
Autor:
Haji, Fatemeh, Bethany, Mazal, Tabar, Maryam, Chiang, Jason, Rios, Anthony, Najafirad, Peyman
Multi-agent strategies have emerged as a promising approach to enhance the reasoning abilities of Large Language Models (LLMs) by assigning specialized roles in the problem-solving process. Concurrently, Tree of Thoughts (ToT) methods have shown pote
Externí odkaz:
http://arxiv.org/abs/2409.11527
Autor:
Bethany, Emet, Bethany, Mazal, Flores, Juan Arturo Nolazco, Jha, Sumit Kumar, Najafirad, Peyman
Recent advancements in AI safety have led to increased efforts in training and red-teaming large language models (LLMs) to mitigate unsafe content generation. However, these safety mechanisms may not be comprehensive, leaving potential vulnerabilitie
Externí odkaz:
http://arxiv.org/abs/2409.11445
Autor:
Bethany, Mazal, Bethany, Emet, Wherry, Brandon, Chiang, Cho-Yu, Vishwamitra, Nishant, Rios, Anthony, Najafirad, Peyman
Event detection and text reasoning have become critical applications across various domains. While LLMs have recently demonstrated impressive progress in reasoning abilities, they often struggle with event detection, particularly due to the absence o
Externí odkaz:
http://arxiv.org/abs/2409.00209
Software security remains a critical concern, particularly as junior developers, often lacking comprehensive knowledge of security practices, contribute to codebases. While there are tools to help developers proactively write secure code, their actua
Externí odkaz:
http://arxiv.org/abs/2409.00199
Social media platforms are being increasingly used by malicious actors to share unsafe content, such as images depicting sexual activity, cyberbullying, and self-harm. Consequently, major platforms use artificial intelligence (AI) and human moderatio
Externí odkaz:
http://arxiv.org/abs/2401.11035
Autor:
Bethany, Mazal, Wherry, Brandon, Bethany, Emet, Vishwamitra, Nishant, Rios, Anthony, Najafirad, Peyman
With the recent proliferation of Large Language Models (LLMs), there has been an increasing demand for tools to detect machine-generated text. The effective detection of machine-generated text face two pertinent problems: First, they are severely lim
Externí odkaz:
http://arxiv.org/abs/2401.09407
Autor:
Guigues, Vincent, Kleywegt, Anton, Amorim, Giovanni, Krauss, André Mazal, Nascimento, Victor Hugo
We describe methods, tools, and a software library called LASPATED, available on GitHub (at https://github.com/vguigues/) to fit models using spatio-temporal data and space-time discretization. A video tutorial for this library is available on YouTub
Externí odkaz:
http://arxiv.org/abs/2401.04156
Publikováno v:
ACS Omega, Vol 9, Iss 42, Pp 42709-42720 (2024)
Externí odkaz:
https://doaj.org/article/fdac114bb5ea450ba7aec20814939391
Publikováno v:
ACS Omega, Vol 9, Iss 42, Pp 42746-42756 (2024)
Externí odkaz:
https://doaj.org/article/631f88f1d0bc43868c3e64461e2edf69
Autor:
Julie Tottey, Lucie Etienne-Mesmin, Sandrine Chalançon, Alix Sausset, Sylvain Denis, Carine Mazal, Christelle Blavignac, Guillaume Sallé, Fabrice Laurent, Stéphanie Blanquet-Diot, Sonia Lacroix-Lamandé
Publikováno v:
Gut Pathogens, Vol 16, Iss 1, Pp 1-16 (2024)
Abstract Background Human cryptosporidiosis is distributed worldwide, and it is recognised as a leading cause of acute diarrhoea and death in infants in low- and middle-income countries. Besides immune status, the higher incidence and severity of thi
Externí odkaz:
https://doaj.org/article/296bc824a16244a8a67b49bd5713baf7