It's LIT! Reliability-Optimized LLMs with Inspectable Tools
arxiv.org·20h
🗣️Large Language Models
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Optimistic UI for AI coding: writing to disk with snapshot undo
🗣️Large Language Models
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Integrating Causal Inference with Graph Neural Networks for Alzheimer's Disease Analysis
arxiv.org·20h
🧠Deep Learning
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Multi-Stage Residual-Aware Unsupervised Deep Learning Framework for Consistent Ultrasound Strain Elastography
arxiv.org·20h
🧠Neural Networks
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Fusing Biomechanical and Spatio-Temporal Features for Fall Prediction: Characterizing and Mitigating the Simulation-to-Reality Gap
arxiv.org·1d
⏱️Time Series Analysis
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The semantic chaos of AI coding (and a proposed classification)
🗣️Large Language Models
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Over-Regulation Is Doubling the Cost
🤖AI
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Text-Driven Reasoning Video Editing via Reinforcement Learning on Digital Twin Representations
arxiv.org·1d
🤖AI
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Treating AI's amnesia with context portability, knowledge graphs and ontologies
🗣️Large Language Models
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COMPASS: Context-Modulated PID Attention Steering System for Hallucination Mitigation
arxiv.org·20h
🗣️Large Language Models
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FSC-Net: Fast-Slow Consolidation Networks for Continual Learning
arxiv.org·2d
🧠Deep Learning
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Critical Evaluation of Quantum Machine Learning for Adversarial Robustness
arxiv.org·20h
🧠Deep Learning
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Application of Graph Based Vision Transformers Architectures for Accurate Temperature Prediction in Fiber Specklegram Sensors
arxiv.org·20h
🧠Neural Networks
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Making Evidence Actionable in Adaptive Learning
arxiv.org·1d
∂Automatic Differentiation
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Thoughts and experiences on using AI for learning
lesswrong.com·3d
🧠Deep Learning
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