Why AI Content All Sounds the Same & How SEO Pros Can Fix It via @sejournal, @mktbrew
searchenginejournal.com·7h
🔀Transformers
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We're Counting Birbs Today
💾Database
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Disassembling Terabytes of Random Data with Zig and Capstone to Prove a Point
🔧Feature Engineering
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PaddleOCR-VL: Boosting Multilingual Document Parsing via a 0.9B Ultra-CompactVision-Language Model
🔧Feature Engineering
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Integrity Under Siege: A Rogue gNodeB's Manipulation of 5G Network Slice Allocation
arxiv.org·8h
🌐Distributed Systems
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Human-centric photo dataset aims to help spot AI biases responsibly
techxplore.com·16h
🤖AI
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Deep Value Benchmark: Measuring Whether Models Generalize Deep values or Shallow Preferences
arxiv.org·1d
🤖AI
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A Criminology of Machines
arxiv.org·8h
🔧Feature Engineering
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CARMA: Comprehensive Automatically-annotated Reddit Mental Health Dataset for Arabic
arxiv.org·8h
🔧Feature Engineering
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NOWS: Neural Operator Warm Starts for Accelerating Iterative Solvers
arxiv.org·1d
🎮Reinforcement Learning
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List Decoding and New Bicycle Code Constructions for Quantum LDPC Codes
arxiv.org·8h
💾Database
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CytoNet: A Foundation Model for the Human Cerebral Cortex
arxiv.org·1d
🔀Transformers
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Identifying the Periodicity of Information in Natural Language
arxiv.org·3d
🔀Transformers
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Decoupling Augmentation Bias in Prompt Learning for Vision-Language Models
arxiv.org·8h
🤖AI
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Tackling Incomplete Data in Air Quality Prediction: A Bayesian Deep Learning Framework for Uncertainty Quantification
arxiv.org·1d
🤖ML
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EVTAR: End-to-End Try on with Additional Unpaired Visual Reference
arxiv.org·2d
🤖AI
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PROPEX-RAG: Enhanced GraphRAG using Prompt-Driven Prompt Execution
arxiv.org·2d
🕸️Graph Databases
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