From Zero to LLMOps Hero: Your 101 Guide to Running LLMs in Production
analyticsvidhya.com·1d
🦀Rust
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DLER: Doing Length pEnalty Right - Incentivizing More Intelligence per Token viaReinforcement Learning
🧩Neurodiverse
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NOAH: Benchmarking Narrative Prior driven Hallucination and Omission in Video Large Language Models
arxiv.org·13h
🧩Neurodiverse
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Why Language Models Are “Lost in the Middle”
pub.towardsai.net·20h
🧩Neurodiverse
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Seeing Shapes: Unveiling Neural Network Vision with Fourier Geometry by Arvind Sundararajan
🧩Neurodiverse
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When Bias Pretends to Be Truth: How Spurious Correlations Undermine Hallucination Detection in LLMs
arxiv.org·13h
🧩Neurodiverse
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Cross-Modal Fine-Tuning of 3D Convolutional Foundation Models for ADHD Classification with Low-Rank Adaptation
arxiv.org·13h
🧩Neurodiverse
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Can Training Dynamics of Scale-Invariant Neural Networks Be Explained by the Thermodynamics of an Ideal Gas?
arxiv.org·13h
🧩Neurodiverse
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Explainable Deep Learning-based Classification of Wolff-Parkinson-White Electrocardiographic Signals
arxiv.org·13h
🧩Neurodiverse
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Adaptive PID Control for Robotic Systems via Hierarchical Meta-Learning and Reinforcement Learning with Physics-Based Data Augmentation
arxiv.org·13h
🧩Neurodiverse
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A software platform for real-time and adaptive neuroscience experiments
nature.com·5h
🧩Neurodiverse
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CG-TTRL: Context-Guided Test-Time Reinforcement Learning for On-Device Large Language Models
arxiv.org·13h
🧩Neurodiverse
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Enhancing Robustness of Graph Neural Networks through p-Laplacian
arxiv.org·13h
🧩Neurodiverse
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