Linear Differential Vision Transformer: Learning Visual Contrasts via Pairwise Differentials
arxiv.org·1h
👁️Computer Vision
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Everything About Transformers
krupadave.com·5d
📝Natural Language Processing
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Attention Illuminates LLM Reasoning: The Preplan-and-Anchor Rhythm EnablesFine-Grained Policy Optimization
⚙️Model Fine-tuning
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DynBERG: Dynamic BERT-based Graph neural network for financial fraud detection
arxiv.org·1h
📝Natural Language Processing
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DEER: Disentangled Mixture of Experts with Instance-Adaptive Routing for Generalizable Machine-Generated Text Detection
arxiv.org·1h
📝Natural Language Processing
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Transformer-Based Decoding in Concatenated Coding Schemes Under Synchronization Errors
arxiv.org·1h
🗄️Vector Databases
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LangChain vs LangGraph: A Beginner’s Guide to Building Smarter AI Workflows
hackernoon.com·14h
⛓️LangChain
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Optimizing Native Sparse Attention with Latent Attention and Local Global Alternating Strategies
arxiv.org·1h
⛓️LangChain
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LinEAS: End-to-end Learning of Activation Steering with a Distributional Loss
machinelearning.apple.com·1d
⚙️Model Fine-tuning
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Hybrid channel attention network for auditory attention detection
nature.com·1d
⚙️Model Fine-tuning
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Connectivity Structure and Dynamics of Nonlinear Recurrent Neural Networks
journals.aps.org·6h
👁️Computer Vision
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Anatomically Constrained Transformers for Echocardiogram Analysis
arxiv.org·1h
👁️Computer Vision
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Identifying the Periodicity of Information in Natural Language
arxiv.org·1d
📝Natural Language Processing
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Efficient Test-Time Retrieval Augmented Generation
arxiv.org·1h
🔍RAG
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KAT-GNN: A Knowledge-Augmented Temporal Graph Neural Network for Risk Prediction in Electronic Health Records
arxiv.org·1h
🗄️Vector Databases
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Building a Multimodal RAG That Responds with Text, Images, and Tables from Sources
towardsdatascience.com·10h
📝Natural Language Processing
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