RAG Explained: How AI Systems Got Smarter by Learning to Look Things Up
🌀Brotli Internals
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Improving Visual Discriminability of CLIP for Training-Free Open-Vocabulary Semantic Segmentation
arxiv.org·2h
📊Learned Metrics
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Playing around with org-db-v3 and consult: vector search of my blog post Org files, with previews
sachachua.com·5h
⏱️Interval Archives
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Amazon Nova Multimodal Embeddings: State-of-the-art embedding model for agentic RAG and semantic search
🧮Vector Embeddings
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How to Scale LLM Apps Without Exploding Your Cloud Bill
hackernoon.com·2d
📄Text Chunking
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Redefining Retrieval Evaluation in the Era of LLMs
arxiv.org·2d
🔍Information Retrieval
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Quality-Aware Translation Tagging in Multilingual RAG system
arxiv.org·1d
🤖AI Translation
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A Novel Framework for Multi-Modal Protein Representation Learning
arxiv.org·1d
🧠Machine Learning
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META-RAG: Meta-Analysis-Inspired Evidence-Re-Ranking Method for Retrieval-Augmented Generation in Evidence-Based Medicine
arxiv.org·2h
🔍Information Retrieval
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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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GroupSHAP-Guided Integration of Financial News Keywords and Technical Indicators for Stock Price Prediction
arxiv.org·1d
🧠Machine Learning
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From Memorization to Reasoning in the Spectrum of Loss Curvature
arxiv.org·2h
🧠Intelligence Compression
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M-Eval: A Heterogeneity-Based Framework for Multi-evidence Validation in Medical RAG Systems
arxiv.org·2h
🎙️Whisper
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MRMR: A Realistic and Expert-Level Multidisciplinary Benchmark forReasoning-Intensive Multimodal Retrieval
🗂️Vector Search
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SABlock: Semantic-Aware KV Cache Eviction with Adaptive Compression Block Size
arxiv.org·1d
📄Text Chunking
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New Dataset PerSense-D Enables Model-Agnostic Dense Object Segmentation
hackernoon.com·10h
📊Learned Metrics
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RS-ORT: A Reduced-Space Branch-and-Bound Algorithm for Optimal Regression Trees
arxiv.org·2h
🧮Kolmogorov Bounds
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DeshadowMamba: Deshadowing as 1D Sequential Similarity
arxiv.org·2h
🌀Fractal Compression
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