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pro vyhledávání: '"Bethany, Mazal"'
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:
Silva, Samuel Henrique, Bethany, Mazal, Votto, Alexis Megan, Scarff, Ian Henry, Beebe, Nicole, Najafirad, Peyman
Publikováno v:
In Forensic Science International: Synergy 2022 4
Akademický článek
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