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NOMAD - Navigating Optimal Model Application to Datastreams
arxiv.org·1d
✨Model optimizations in LLMs
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Gaining Momentum: Uncovering Hidden Scoring Dynamics in Hockey through Deep Neural Sequencing and Causal Modeling
arxiv.org·1d
🧠Large Language Models (LLMs)
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Iterative Foundation Model Fine-Tuning on Multiple Rewards
arxiv.org·1d
✨Model optimizations in LLMs
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PDA-LSTM: Knowledge-driven page data arrangement based on LSTM for LCM supression in QLC 3D NAND flash memories
arxiv.org·1d
🔢Quantization of LLMs
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Dynamic Model Selection for Trajectory Prediction via Pairwise Ranking and Meta-Features
arxiv.org·1d
⚡Real-time AI Systems
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H-FA: A Hybrid Floating-Point and Logarithmic Approach to Hardware Accelerated FlashAttention
arxiv.org·1d
📊AI Performance Profiling
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ScaleCall - Agentic Tool Calling at Scale for Fintech: Challenges, Methods, and Deployment Insights
arxiv.org·1d
🔧Systems-level optimizations for LLM serving
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Ariadne: A Controllable Framework for Probing and Extending VLM Reasoning Boundaries
arxiv.org·1d
⚙️AI Infrastructure Automation
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Augmenting learning in neuro-embodied systems through neurobiological first principles
arxiv.org·1d
⚡Real-time AI Systems
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Position: Vibe Coding Needs Vibe Reasoning: Improving Vibe Coding with Formal Verification
arxiv.org·1d
💬Prompt optimizations for LLM serving
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Hyper Hawkes Processes: Interpretable Models of Marked Temporal Point Processes
arxiv.org·1d
🧠Large Language Models (LLMs)
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Open Character Training: Shaping the Persona of AI Assistants through Constitutional AI
arxiv.org·1d
🧠Large Language Models (LLMs)
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SpatialTraceGen: High-Fidelity Traces for Efficient VLM Spatial Reasoning Distillation
arxiv.org·1d
🧠Large Language Models (LLMs)
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Understanding Code Agent Behaviour: An Empirical Study of Success and Failure Trajectories
arxiv.org·1d
🤖Agents using LLMs
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Diagnosing Hallucination Risk in AI Surgical Decision-Support: A Sequential Framework for Sequential Validation
arxiv.org·1d
📊AI Performance Profiling
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Region-Aware Reconstruction Strategy for Pre-training fMRI Foundation Model
arxiv.org·1d
🔍Retrieval-augmented generation
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Feature-Guided Analysis of Neural Networks: A Replication Study
arxiv.org·1d
📊AI Performance Profiling
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"Less is More": Reducing Cognitive Load and Task Drift in Real-Time Multimodal Assistive Agents for the Visually Impaired
arxiv.org·1d
⚡Real-time AI Systems
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End-to-End Framework Integrating Generative AI and Deep Reinforcement Learning for Autonomous Ultrasound Scanning
arxiv.org·1d
⚡Real-time AI Systems
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A generative adversarial network optimization method for damage detection and digital twinning by deep AI fault learning: Z24 Bridge structural health monitorin...
arxiv.org·1d
⚙️AI Infrastructure Automation
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