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✨ Model optimizations in LLMs
A Federated Learning Framework for Handling Subtype Confounding and Heterogeneity in Large-Scale Neuroimaging Diagnosis
arxiv.org·1d
🧠Large Language Models (LLMs)
Adaptive Learning for IRS-Assisted Wireless Networks: Securing Opportunistic Communications Against Byzantine Eavesdroppers
arxiv.org·1d
🔧Systems-level optimizations for LLM serving
Compressed Decentralized Momentum Stochastic Gradient Methods for Nonconvex Optimization
arxiv.org·5d
🔧Systems-level optimizations for LLM serving
Hierarchical Verification of Speculative Beams for Accelerating LLM Inference
arxiv.org·6d
🧠Large Language Models (LLMs)
Streamlining Admission with LOR Insights: AI-Based Leadership Assessment in Online Master's Program
arxiv.org·5d
🧠Large Language Models (LLMs)
"Mirror" Language AI Models of Depression are Criterion-Contaminated
arxiv.org·2d
🧠Large Language Models (LLMs)
HapticLLaMA: A Multimodal Sensory Language Model for Haptic Captioning
arxiv.org·2d
🧠Large Language Models (LLMs)
Urban-STA4CLC: Urban Theory-Informed Spatio-Temporal Attention Model for Predicting Post-Disaster Commercial Land Use Change
arxiv.org·21h
🧠Large Language Models (LLMs)
Auditory Intelligence: Understanding the World Through Sound
arxiv.org·1d
🧠Large Language Models (LLMs)
Robust, fast, and adaptive splitting schemes for nonlinear doubly-degenerate diffusion equations
arxiv.org·1d
🔢Quantization of LLMs
Effective and Efficient Attributed Hypergraph Embedding on Nodes and Hyperedges
arxiv.org·21h
🔍Retrieval-augmented generation
Discovery Learning accelerates battery design evaluation
arxiv.org·1d
📊AI Performance Profiling
Control-affine Schr\"odinger Bridge and Generalized Bohm Potential
arxiv.org·21h
🔢Quantization of LLMs
Achieving Fair-Effective Communications and Robustness in Underwater Acoustic Sensor Networks: A Semi-Cooperative Approach
arxiv.org·1d
🌐Distributed LLM Systems
Fusion-Based Brain Tumor Classification Using Deep Learning and Explainable AI, and Rule-Based Reasoning
arxiv.org·1d
📊AI Performance Profiling
Onsager Principle-Based Domain Embedding for Thermodynamically Consistent Cahn-Hilliard Model in Arbitrary Domain
arxiv.org·1d
🔢Quantization of LLMs
Unsupervised Real-World Super-Resolution via Rectified Flow Degradation Modelling
arxiv.org·1d
🔢Quantization of LLMs
OmniVTLA: Vision-Tactile-Language-Action Model with Semantic-Aligned Tactile Sensing
arxiv.org·21h
⚡Real-time AI Systems
Silicon Minds versus Human Hearts: The Wisdom of Crowds Beats the Wisdom of AI in Emotion Recognition
arxiv.org·21h
📊AI Performance Profiling
Do AI Companies Make Good on Voluntary Commitments to the White House?
arxiv.org·21h
⚙️AI Infrastructure Automation
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