Vector Representations, Word2Vec, Semantic Search, Similarity, Dimensionality

Design principles for more reliable and trustworthy AI artists
techxplore.com·4h
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Deciphering Human Language for Machines: A Developer's Guide to NLP
dev.to·2d·
Discuss: DEV
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From Five Dimensions to Many: Large Language Models as Precise and Interpretable Psychological Profilers
arxiv.org·1d
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Data Quality and Filtering at Scale for Training Large Language Models
pub.towardsai.net·1d
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Bridging Generative and Discriminative Noisy-Label Learning via Direction-Agnostic EM Formulation
arxiv.org·1h
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Measuring the Intrinsic Dimension of Earth Representations
arxiv.org·2d
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Discourse-Aware Scientific Paper Recommendation via QA-Style Summarization and Multi-Level Contrastive Learning
arxiv.org·1d
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Simple 3D Pose Features Support Human and Machine Social Scene Understanding
arxiv.org·1h
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Computational Turing Test Reveals Systematic Differences Between Human and AI Language
arxiv.org·1h
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The New Optimization Stack: Where SEO Meets AI Retrieval via @sejournal, @DuaneForrester
searchenginejournal.com·16h
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Linear Differential Vision Transformer: Learning Visual Contrasts via Pairwise Differentials
arxiv.org·3d
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Emotion Detection From Social Media Posts
arxiv.org·1d
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Twirlator: A Pipeline for Analyzing Subgroup Symmetry Effects in Quantum Machine Learning Ansatzes
arxiv.org·1h
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Multi-Method Analysis of Mathematics Placement Assessments: Classical, Machine Learning, and Clustering Approaches
arxiv.org·1h
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Vision Foundation Models in Agriculture: Toward Domain-Specific Adaptation for Weed Herbicide Trials Assessment
arxiv.org·1h
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Continuous Autoregressive Language Models : Alternate for traditional LLMs, paper by Tencent
reddit.com·17h·
Discuss: r/LocalLLaMA
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Fantastic (small) Retrievers and How to Train Them: mxbai-edge-colbert-v0 TechReport
paperium.net·5h·
Discuss: DEV
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GMoPE:A Prompt-Expert Mixture Framework for Graph Foundation Models
arxiv.org·1d
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PETRA: Pretrained Evolutionary Transformer for SARS-CoV-2 Mutation Prediction
arxiv.org·1h
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