Ontology-Based Contextual AI Evaluations (OB-CAIE) Methodology
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New papers, breakthroughs and academic AI research
A Low Grounding Score Is Not an Ungrounded Judge: Identifying the Perceptibility Confound in Multimodal Oversight
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Query Independent Variable Rate Visual Token Coding
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Beyond Pixel Reconstruction: Retrieval-Guided Glyph-Aware Restoration for Low-Resource Manchu Historical Documents
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Rules Amortize, Pairings Don't: Linguistic Structure Determines What Latent Task Representations Can Replace In-Context Learning
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LEGO-OPD: Factorized Teacher Composition for Multimodal On-Policy Distillation
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Assessing the Impact of Language Disparity on Multilingual Linguistic Ability in Large Language Models
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Vmem-$\varphi$: Low-Compute Out-of-Distribution Detection in Spiking Neural Networks from Membrane-Potential Statistics
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Can LLMs Reason Over Long Horizons? An Empirical Evaluation of Context Strategies for Longitudinal Clinical Reasoning
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From Image Latent Space to Fuzzy Rules: Interpretable Analysis of Gastrointestinal Foundation Model
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Scores That Hold, Benchmarks That Leak: Measuring Dataset Contamination in Public Brain-Tumor MRI Classification
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Memorizon: Training World Models Beyond Their Context Window
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