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Dades bibliogràfiques
Autors principals:	Revista, Zen, IA, 10
Format:	Recurso digital
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Publicat:	Zenodo 2025
Accés en línia:	https://doi.org/10.5281/zenodo.17823224
Etiquetes:	Afegir etiqueta Sense etiquetes, Sigues el primer a etiquetar aquest registre!

Ítems similars

The AI Alignment Loop: Iterative Self-Correction for Robust and Generalizable Models
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Emergent Goal Concordance: Architecting Self-Correcting AI Alignment Systems
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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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Beyond Rectification: Reassessing Activation Function Geometry for Enhanced Neural Network Performance
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Unveiling AI Decision-Making: A Comprehensive Framework for Interpretable Methods and Explainable AI
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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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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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AI-Powered Data Cleaning: Revolutionizing Data Quality and Trust Through Generative Models
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AI Training Observability: A Comprehensive Framework for Real-Time Monitoring, Diagnosis, and Optimization
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A Unified Performance-Cost-Efficiency Model for Large-Scale AI Training on GPU and TPU Accelerators
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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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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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Unmasking Causal Representations: A Novel Masking Paradigm for Explainable Language Models
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Extreme Few-Shot Learning: Beyond Exemplars to Generalizable Abstractions
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Neuro-Symbolic Scene Graph Reasoning for Explainable Vision
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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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Convergent Geometries: Astronomical Alignment and Standardized Metrology in Teotihuacan and Monte Albán
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Woodin Cardinals and the Consistency Strength of Proper Forcing Axioms in Inner Models
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Spectral Geometry of Commutative Rings: A Higher Grothendieck Foundation
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Crystalline Cohomology and the Geometry of Perfectoid Shimura Varieties at Infinite Level
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Optimal Transport Theory and Wasserstein Geometry for Gradient Flows in Metric Spaces
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The Projectile Ascent: Lithic Engineering, Atlatl Mechanics, and the Human Ballistic Niche
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Rational Catalyst Design through Transition State Engineering: Unveiling Energetic and Entropic Drivers.
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Fugacity-Driven Phase Engineering: A Predictive Gibbsian Approach for Extreme Chemical Environments
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Non-Hermitian Topological Photonic Emitters for Robust Quantum State Generation
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Beyond the Given: Contingency, Critique, and the Production of Reality in Continental Thought
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Architectures of Subordination: Manorial Production, Feudal Power, and the Tripartite Imaginary.
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Coupled Spatiotemporal AI: Unlocking Predictive Power in Dynamic Human-Environment Systems
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