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<title>Channels - Scaling Data Difficulty: Improving Coding Models via Reinforcement Learning on Fresh and Challenging Problems :: FRELIP Discovery
Channels Scaling Data Difficulty: Improving Coding Models via Reinforcement Learning on Fresh and Challenging Problems
Breaking Training Bottlenecks: Effective and Stable Reinforcement Learning for Coding Models
Connections between reinforcement learning with feedback,test-time scaling, and diffusion guidance: An anthology
LLM Architecture, Scaling Laws, and Economics: A Quick Summary
Advancing AI Challenges for the United States Department of the Air Force
Towards Resilient Intrusion Detection in CubeSats: Challenges, TinyML Solutions, and Future Directions
Kaggle Chronicles: 15 Years of Competitions, Community and Data Science Innovation
A guideline for the methodology chapter in computer science dissertations
Max Bense as a Visionary: from Entropy to the Dialectics of Programmed Images
Enabling Student Innovation through Virtual Reality Development
Symbolic Mathematical Computation 1965--1975: The View from a Half-Century Perspective
Mesterséges Intelligencia Kutatások Magyarországon
Detection, Classification and Prevalence of Self-Admitted Aging Debt
The history of digital ethics
Reproducibility: The New Frontier in AI Governance
Education Paradigm Shift To Maintain Human Competitive Advantage Over AI
Validation of a Small Language Model for DSM-5 Substance Category Classification in Child Welfare Records
On the First Computer Science Research Paper in an Indian Language and the Future of Science in Indian Languages
Jean-Raymond Abrial: A Scientific Biography of a Formal Methods Pioneer
Linux and High-Performance Computing
POSIM: A Multi-Agent Simulation Framework for Social Media Public Opinion Evolution and Governance
The Theorems of Dr. David Blackwell and Their Contributions to Artificial Intelligence
From Physical Difference to Meaning: A Constructor-Theoretic Framework for Prebiotic Information in Casimir-Lifshitz-Coupled Protocell Clusters
A Brief History of Fréchet Distances: From Curves and Probability Laws to FID
People, IT, and Structuration (PIS): An Integrative Theoretical Framework for Management Information Systems
