WikiConference Seoul 2025, Future of WIkimedia is on diversity
diff.wikimedia.orgยท1d
๐Dublin Core
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arXiv Changes Rules After Getting Spammed With AI-Generated 'Research' Papers
slashdot.orgยท1d
๐ฏPerformance Proofs
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The Case Against PGVector
๐๏ธVector Databases
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Casing Collar Identification using AlexNet-based Neural Networks for Depth Measurement in Oil and Gas Wells
arxiv.orgยท1d
๐ง Machine Learning
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Deflanderization for Game Dialogue: Balancing Character Authenticity with TaskExecution in LLM-based NPCs
๐Digital humanities
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22.00.0162 Decimal Diary: Not-Kondo and deleting Canva
johnnydecimal.comยท1d
๐ Personal Archives
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Spatial Secrets: Unlocking Hidden Patterns with Language Models
๐งฎKolmogorov Complexity
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Temporal Fusion Transformer for Multi-Horizon Probabilistic Forecasting of Weekly Retail Sales
arxiv.orgยท1d
๐Time Series
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Estimation of Segmental Longitudinal Strain in Transesophageal Echocardiography by Deep Learning
arxiv.orgยท4h
๐Differential Geometry
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Multi-Representation Attention Framework for Underwater Bioacoustic Denoising and Recognition
arxiv.orgยท2d
๐Psychoacoustic Coding
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Efficiency vs. Alignment: Investigating Safety and Fairness Risks in Parameter-Efficient Fine-Tuning of LLMs
arxiv.orgยท1d
โจEffect Handlers
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OMEGA: Optimized Multimodal Position Encoding Index Derivation with Global Adaptive Scaling for Vision-Language Models
arxiv.orgยท1d
๐คAdvanced OCR
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Optimizing Native Sparse Attention with Latent Attention and Local Global Alternating Strategies
arxiv.orgยท1d
๐งฎVector Embeddings
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Reevaluating Self-Consistency Scaling in Multi-Agent Systems
arxiv.orgยท1d
๐ฒCellular Automata
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Investigating Label Bias and Representational Sources of Age-Related Disparities in Medical Segmentation
arxiv.orgยท1d
๐Learned Metrics
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Interpretable Heart Disease Prediction via a Weighted Ensemble Model: A Large-Scale Study with SHAP and Surrogate Decision Trees
arxiv.orgยท4h
๐ง Machine Learning
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DecompSR: A dataset for decomposed analyses of compositional multihop spatial reasoning
arxiv.orgยท4h
๐Parser Combinators
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Redundancy Maximization as a Principle of Associative Memory Learning
arxiv.orgยท4h
๐ง Machine Learning
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