Retrieval Augmented Generation, Vector Databases, Knowledge Retrieval, Context Enhancement

Normalized Entropy or Apply Rate? Evaluation Metrics for Online Modeling Experiments
engineering.indeedblog.comΒ·2h
πŸ“„Document AI
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What people mean when they say "I hate AI"
derenrich.medium.comΒ·16hΒ·
Discuss: Hacker News
πŸ€–AI
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This Week in Sports Trivia: November 6, 2025
nytimes.comΒ·23h
πŸ€–AI
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NEW: Get a lifetime subscription to 1ForAll AI for only $29.99
neowin.netΒ·1d
πŸ“‹Contract AI
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Stop Coding and Start Planning
every.toΒ·11h
πŸ“‹Contract AI
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Context Engineering 2.0: The Context of Context Engineering
arxiviq.substack.comΒ·12hΒ·
Discuss: Substack
πŸ•ΈοΈKnowledge Graphs
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Is AI After My Job? Navigating the Future of Research Software Engineering
software.ac.ukΒ·45m
πŸ“„Document AI
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TwIST: Rigging the Lottery in Transformers with Independent Subnetwork Training
arxiv.orgΒ·6h
πŸ€–AI
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ImagerySearch: Adaptive Test-Time Search for Video Generation Beyond SemanticDependency Constraints
dev.toΒ·1hΒ·
Discuss: DEV
πŸ€–AI
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LLM-Centric RAG with Multi-Granular Indexing and Confidence Constraints
arxiv.orgΒ·4d
πŸ“NLP
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Noise Injection: Improving Out-of-Distribution Generalization for Limited Size Datasets
arxiv.orgΒ·6h
🎯Vector Search
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Legal Research is Changing: How AI Makes Your C# Applications Smarter
dev.toΒ·23hΒ·
Discuss: DEV
πŸ“‹Contract AI
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From data to corpus: semiotic and documentary issues in audiovisual archives
arxiv.orgΒ·6h
πŸ“NLP
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Hybrid Retrieval-Augmented Generation Agent for Trustworthy Legal Question Answering in Judicial Forensics
arxiv.orgΒ·3d
πŸ“‹Contract AI
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When Models Lie, We Learn: Multilingual Span-Level Hallucination Detection withPsiloQA
dev.toΒ·2hΒ·
Discuss: DEV
πŸ“NLP
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Epidemiology of Large Language Models: A Benchmark for Observational Distribution Knowledge
arxiv.orgΒ·1d
πŸ•ΈοΈKnowledge Graphs
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Quantifying the reasoning abilities of LLMs on clinical cases
nature.comΒ·23h
πŸ“NLP
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Silenced Biases: The Dark Side LLMs Learned to Refuse
arxiv.orgΒ·1d
πŸ“NLP
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Deep Learning Approach for Clinical Risk Identification Using Transformer Modeling of Heterogeneous EHR Data
arxiv.orgΒ·6h
πŸ“„Document AI
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