IL-PCSR: Legal Corpus for Prior Case and Statute Retrieval
arxiv.org·2d
🧠Large Language Models (LLMs)
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World Simulation with Video Foundation Models for Physical AI
arxiv.org·2d
⚡Real-time AI Systems
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A Framework Based on Graph Cellular Automata for Similarity Evaluation in Urban Spatial Networks
arxiv.org·2d
🧠Large Language Models (LLMs)
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Secure Distributed Consensus Estimation under False Data Injection Attacks: A Defense Strategy Based on Partial Channel Coding
arxiv.org·2d
🌐Distributed LLM Systems
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A systematic evaluation of uncertainty quantification techniques in deep learning: a case study in photoplethysmography signal analysis
arxiv.org·2d
🧠Large Language Models (LLMs)
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Which LiDAR scanning pattern is better for roadside perception: Repetitive or Non-repetitive?
arxiv.org·2d
🔧Systems-level optimizations for LLM serving
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Personalized AI Scaffolds Synergistic Multi-Turn Collaboration in Creative Work
arxiv.org·3d
🔍Retrieval-augmented generation
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AD-SAM: Fine-Tuning the Segment Anything Vision Foundation Model for Autonomous Driving Perception
arxiv.org·3d
🔍Retrieval-augmented generation
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FOCUS: Efficient Keyframe Selection for Long Video Understanding
arxiv.org·3d
🧠Large Language Models (LLMs)
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A Multi-agent Large Language Model Framework to Automatically Assess Performance of a Clinical AI Triage Tool
arxiv.org·6d
📊AI Performance Profiling
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Uncrossed Multiflows and Applications to Disjoint Paths
arxiv.org·2d
🌐Distributed LLM Systems
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Artificial Intelligence in Elementary STEM Education: A Systematic Review of Current Applications and Future Challenges
arxiv.org·2d
⚡Real-time AI Systems
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AeroResQ: Edge-Accelerated UAV Framework for Scalable, Resilient and Collaborative Escape Route Planning in Wildfire Scenarios
arxiv.org·2d
⚡Real-time AI Systems
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SpinalSAM-R1: A Vision-Language Multimodal Interactive System for Spine CT Segmentation
arxiv.org·2d
🔢Quantization of LLMs
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MeixnerNet: Adaptive and Robust Spectral Graph Neural Networks with Discrete Orthogonal Polynomials
arxiv.org·2d
🔢Quantization of LLMs
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Automated Discovery of Conservation Laws via Hybrid Neural ODE-Transformers
arxiv.org·2d
🔢Quantization of LLMs
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Anatomically Constrained Transformers for Echocardiogram Analysis
arxiv.org·2d
🔢Quantization of LLMs
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MedM2T: A MultiModal Framework for Time-Aware Modeling with Electronic Health Record and Electrocardiogram Data
arxiv.org·3d
⚡Real-time AI Systems
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