Identifying actionable driver mutations in lung cancer using an efficient Asymmetric Transformer Decoder
arxiv.org·2d
📊AI Performance Profiling
Explainable AI Methods for Neuroimaging: Systematic Failures of Common Tools, the Need for Domain-Specific Validation, and a Proposal for Safe Application
arxiv.org·2d
📊AI Performance Profiling
Understanding and Mitigating Political Stance Cross-topic Generalization in Large Language Models
arxiv.org·2d
🧠Large Language Models (LLMs)
Elucidating the Role of Feature Normalization in IJEPA
arxiv.org·1d
🧠Large Language Models (LLMs)
AMD-Mamba: A Phenotype-Aware Multi-Modal Framework for Robust AMD Prognosis
arxiv.org·1d
📊AI Performance Profiling
The Complexity of Extreme Climate Events on the New Zealand's Kiwifruit Industry
arxiv.org·2d
🧠Large Language Models (LLMs)
MUTE-DSS: A Digital-Twin-Based Decision Support System for Minimizing Underwater Radiated Noise in Ship Voyage Planning
arxiv.org·2d
✨Model optimizations in LLMs
Multi-Layer Attention is the Amplifier of Demonstration Effectiveness
arxiv.org·3d
🧠Large Language Models (LLMs)
PunchPulse: A Physically Demanding Virtual Reality Boxing Game Designed with, for and by Blind and Low-Vision Players
arxiv.org·2d
🔍Retrieval-augmented generation
Video-based Vehicle Surveillance in the Wild: License Plate, Make, and Model Recognition with Self Reflective Vision-Language Models
arxiv.org·2d
🧠Large Language Models (LLMs)
HeQ: a Large and Diverse Hebrew Reading Comprehension Benchmark
arxiv.org·2d
🧠Large Language Models (LLMs)
Building and Aligning Comparable Corpora
arxiv.org·2d
🧠Large Language Models (LLMs)
Green Computing: The Ultimate Carbon Destroyer for a Sustainable Future
arxiv.org·3d
🔧Systems-level optimizations for LLM serving
Is Uncertainty Quantification a Viable Alternative to Learned Deferral?
arxiv.org·2d
🧠Large Language Models (LLMs)
Stakeholder Perspectives on Digital Twin Implementation Challenges in Healthcare: Insights from a Provider Digital Twin Case Study
arxiv.org·2d
🔧Systems-level optimizations for LLM serving
LRQ-DiT: Log-Rotation Post-Training Quantization of Diffusion Transformers for Text-to-Image Generation
arxiv.org·1d
🔢Quantization of LLMs
CADD: Context aware disease deviations via restoration of brain images using normative conditional diffusion models
arxiv.org·1d
🧠Large Language Models (LLMs)
Robust Single-Stage Fully Sparse 3D Object Detection via Detachable Latent Diffusion
arxiv.org·1d
🧠Large Language Models (LLMs)
Overcoming the Loss Conditioning Bottleneck in Optimization-Based PDE Solvers: A Novel Well-Conditioned Loss Function
arxiv.org·1d
✨Model optimizations in LLMs
NMS: Efficient Edge DNN Training via Near-Memory Sampling on Manifolds
arxiv.org·2d
🧠Large Language Models (LLMs)