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pro vyhledávání: '"Mazal P"'
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:
Scientific Reports, Vol 14, Iss 1, Pp 1-17 (2024)
Abstract Evaluation of genetic biodiversity for micronutrients is crucial for breeding high-quality crops and addressing the negative impacts of mineral deficiencies. The objectives of this research were to assess genetic variation and the relationsh
Externí odkaz:
https://doaj.org/article/9111f28d344b45a8a79107cbd929b075
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