MoM: Mixtures of Scenario-Aware Document Memories for Retrieval-AugmentedGeneration Systems
๐Document AI
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Efficient Test-Time Retrieval Augmented Generation
arxiv.orgยท3d
๐ฏVector Search
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"Let's Agree to Disagree": Investigating the Disagreement Problem in Explainable AI for Text Summarization
arxiv.orgยท1h
๐NLP
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Caption Injection for Optimization in Generative Search Engine
arxiv.orgยท1h
๐NLP
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Self-Attention: The Simple Mechanism That Made ChatGPT Possible
pub.towardsai.netยท1h
๐NLP
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<p>**Abstract:** This research introduces a novel framework, the Automated Knowledge Graph Augmentation and Validation System (AKG-AVS), for dynamically expandi...
freederia.comยท9h
๐ธ๏ธKnowledge Graphs
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Lessons from Implementing RAG in 2025
๐Document AI
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PROPEX-RAG: Enhanced GraphRAG using Prompt-Driven Prompt Execution
arxiv.orgยท3d
๐ธ๏ธKnowledge Graphs
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Beyond Basic RAG: AI Agents for Context-Aware Responses
thenewstack.ioยท1d
๐Document AI
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Extracting Causal Relations in Deep Knowledge Tracing
arxiv.orgยท1h
๐ธ๏ธKnowledge Graphs
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Optimizing filtered vector queries from tens of seconds to single-digit milliseconds in PostgreSQL
๐ฏVector Search
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Knowledge-Augmented Question Error Correction for Chinese Question Answer System with QuestionRAG
arxiv.orgยท1d
๐NLP
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Minimizing Loss โ Maximizing Intelligence
lesswrong.comยท1h
๐คAI
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The Downside of Anthropomorphizing
๐NLP
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Probabilistic Textual Time Series Depression Detection
arxiv.orgยท1h
๐NLP
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Why Googleโs File Search could displace DIY RAG stacks in the enterprise
venturebeat.comยท1d
๐Document AI
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