Researchers at Google Cloud and UCLA have proposed a new reinforcement learning framework that significantly improves the ability of language models to learn very challenging multi-step reasoning ...

The programming model for the longest time has remained unchanged, due in large part to the consistent competitive nature of over-the-air radio versus, at most, SiriusXM, television, or social media.

Introduction: In unsupervised learning, data clustering is essential. However, many current algorithms have issues like early convergence, inadequate local search capabilities, and trouble processing ...

Article Views are the COUNTER-compliant sum of full text article downloads since November 2008 (both PDF and HTML) across all institutions and individuals. These metrics are regularly updated to ...

Samuel Alito says Supreme Court responding to Trump acting 'aggressively' Search for missing swimmer suspended; witness saw shark with body in its mouth Johnny Carson book exposes 'Tonight Show' ban ...

ABSTRACT: This paper deals with linear programming techniques and their application in optimizing lecture rooms in an institution. This linear programming formulated based on the available secondary ...

Two Microsoft researchers have devised a new, optimization-free jailbreak method that can effectively bypass the safety mechanisms of most AI systems. Called Context Compliance Attack (CCA), the ...

In the realm of competitive programming, both human participants and artificial intelligence systems encounter a set of unique challenges. Many existing code generation models struggle to consistently ...

Mixed Integer Linear Programming (MILP) is essential for modeling complex decision-making problems but faces challenges in computational tractability and requires expert formulation. Current deep ...