Bots, Bread and the Battle for the Web
unit42.paloaltonetworks.com·9h
📊Feed Optimization
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Beyond the Magic: How LLMs Work
💻Local LLMs
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Embedding Leak Auditor
🕵️Vector Smuggling
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SPARTA: Evaluating Reasoning Segmentation Robustness through Black-Box Adversarial Paraphrasing in Text Autoencoder Latent Space
arxiv.org·4h
🧠Machine Learning
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RAG Explained: How AI Systems Got Smarter by Learning to Look Things Up
📊Multi-vector RAG
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Leveraging Hierarchical Organization for Medical Multi-document Summarization
arxiv.org·1d
📋Document Grammar
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ChessQA: Evaluating Large Language Models for Chess Understanding
arxiv.org·4h
🧠Intelligence Compression
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DeshadowMamba: Deshadowing as 1D Sequential Similarity
arxiv.org·4h
🌀Fractal Compression
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SABlock: Semantic-Aware KV Cache Eviction with Adaptive Compression Block Size
arxiv.org·1d
📄Text Chunking
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Semi-supervised and unsupervised learning for health indicator extraction from guided waves in aerospace composite structures
arxiv.org·4h
🧠Machine Learning
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PaperAsk: A Benchmark for Reliability Evaluation of LLMs in Paper Search and Reading
arxiv.org·1d
🔍Information Retrieval
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A Novel Framework for Multi-Modal Protein Representation Learning
arxiv.org·1d
🧠Machine Learning
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CURVETE: Curriculum Learning and Progressive Self-supervised Training for Medical Image Classification
arxiv.org·1d
🌀Differential Geometry
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MiniOneRec: An Open-Source Framework for Scaling Generative Recommendation
arxiv.org·4h
🔍Information Retrieval
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DynaStride: Dynamic Stride Windowing with MMCoT for Instructional Multi-Scene Captioning
arxiv.org·4h
📊Learned Metrics
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Information-Theoretic Discrete Diffusion
arxiv.org·4h
📡Information theory
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Think before Recommendation: Autonomous Reasoning-enhanced Recommender
arxiv.org·1d
🎯Content Recommendation
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Adaptive Dual Prompting: Hierarchical Debiasing for Fairness-aware Graph Neural Networks
arxiv.org·1d
🎛️Feed Filtering
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