Print Join the Discussion View in the ACM Digital Library The mathematical reasoning performed by LLMs is fundamentally different from the rule-based symbolic methods in traditional formal reasoning.
Abstract: The rapid growth of social media has led to the widespread uploading of private images to online networks, raising significant privacy concerns. Existing methods for image privacy assessment ...
PyOdys is a robust and flexible Python package for solving ordinary differential equations (ODEs) of the form: $$ M(t, y)\frac{dy}{dt} = F(t, y). $$. Adaptive Time ...
Memory can be broken down into multiple types, including long-term memory, short-term memory, explicit and implicit memory, and working memory. Memory is a process in your brain that enables you to ...
The IMEX schemes apply the implicit temporal method to only a small portion of the domain and use explicit calculations elsewhere, based on a convenient splitting algorithm. IMEX methods effectively ...
Understanding implicit meaning is a fundamental aspect of human communication. Yet, current Natural Language Inference (NLI) models struggle to recognize implied entailments—statements that are ...
Faculty of Sport Sciences and Health, Department of Cognitive and Behavioral Sciences and Technology in Sport, Shahid Beheshti University of Tehran, Tehran, Iran Introduction: This study aimed to ...
Integrating human values after model training using Learning-based algorithms requires fine-tuning LLMs, which requires more computational power and is time-consuming. Additionally, it generates ...
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