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Detalhes bibliográficos
Main Authors:	Revista, Zen, IA, 10
Formato:	Recurso digital
Idioma:
Publicado em:	Zenodo 2025
Acesso em linha:	https://doi.org/10.5281/zenodo.17818734
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AI Training Observability: A Comprehensive Framework for Real-Time Monitoring, Diagnosis, and Optimization
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Co-evolving Policies and Values for Generalizable and Aligned AI
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Harmonizing Heterogeneity: Unified Embedding Spaces for Generalist AI
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Meta-Calculus: Learning Differentiable Optimization Rules for AI
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Beyond Benchmarks: The Qualitative Imperative in Human-Centered AI Evaluation
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Unmasking Causal Representations: A Novel Masking Paradigm for Explainable Language Models
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Neuro-Symbolic Scene Graph Reasoning for Explainable Vision
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The AI Alignment Loop: Iterative Self-Correction for Robust and Generalizable Models
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Gradient Manifolds: Navigating Complex Loss Landscapes for Enhanced AI Generalization
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Data Quality Cascades in AI: Characterizing, Mitigating, and Preventing Error Propagation
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Meta-Corrigibility: Architectures for Self-Modifying AI with Enduring Human Oversight
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Emergent Goal Concordance: Architecting Self-Correcting AI Alignment Systems
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Normative Engineering of AI: Leveraging Inner Product Geometry for Robustness and Alignment
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A Unified Performance-Cost-Efficiency Model for Large-Scale AI Training on GPU and TPU Accelerators
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Unmasking the Trojan Horse: Provable Detection and Mitigation of Deceptive Alignment in AI Systems
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AI's Achilles Heel: The Critical Role of Data Validation in Robust and Trustworthy Systems
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AI-Powered Data Cleaning: Revolutionizing Data Quality and Trust Through Generative Models
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Adaptive Information Granularity: A Unified Learning Framework for Sparse and Dense Representations
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Intelligent Vector Databases: A Self-Optimizing Framework for Context-Aware Semantic Retrieval
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Beyond Rectification: Reassessing Activation Function Geometry for Enhanced Neural Network Performance
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Meta-SARSA: Learning Adaptive On-Policy Exploration Strategies
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Adaptive Semantic Chunking for Enhanced Contextual Fidelity in Long-Document RAG
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Adaptive Step Sizes and Implicit Regularization: Decoding the Generalization Landscape of Gradient Optimizers
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Beyond Quadratic: Sublinear Attention via Learnable Orthogonal Projections
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Extreme Few-Shot Learning: Beyond Exemplars to Generalizable Abstractions
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From Patching to Preventing: Architecting Intrinsic Jailbreak Resistance in Foundation Models
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Adaptive Early Exits: Bridging Accuracy and Efficiency in Deep Learning via Resource-Aware Optimization
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Bridging Locality and Globality: Hierarchical Transformer Architectures for Infinite Context
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The Exact Structure of Triangulated Categories: Unveiling Abelian Foundations
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Coupled Spatiotemporal AI: Unlocking Predictive Power in Dynamic Human-Environment Systems
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Pellian Forms and the Ideal Class Group: Unveiling Torsion and Rank
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Emergent Schnirelmann Densities: Unveiling the Fine Structure of Goldbach-Waring Bases
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Unveiling the Leptonic CP Phase through Precision Neutrino Oscillation Asymmetries
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Rational Catalyst Design through Transition State Engineering: Unveiling Energetic and Entropic Drivers.
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Forging Globalities: Bronze, Connectivity, and the Making of Early Complex Societies
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Salt, Silver, and Sovereignty: Resource Control and the Making of the Greek Mediterranean
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Beyond Rank-Size Regularities: Unveiling Multifaceted Urban Transformations in the Era of Megacities, Suburban Sprawl, Gentrification Dynamics, and Smart City Agendas
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Allee Catastrophes: A New Framework for r/K Selection in Dynamic Landscapes
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Sheaves of Logical States: A Unified Framework for Intuitionistic, Modal, and Paraconsistent Logics
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Neural Jump-Diffusion: A Data-Driven Framework for Heston Model Calibration and Beyond
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