A Voice-Enabled Virtual Patient System for Interactive Training in Standardized Clinical Assessment
arxiv.org·1d
🧠Large Language Models (LLMs)
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Weakly Supervised Concept Learning with Class-Level Priors for Interpretable Medical Diagnosis
arxiv.org·1d
🧠Large Language Models (LLMs)
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NaturalVoices: A Large-Scale, Spontaneous and Emotional Podcast Dataset for Voice Conversion
arxiv.org·1d
🧠Large Language Models (LLMs)
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EP-HDC: Hyperdimensional Computing with Encrypted Parameters for High-Throughput Privacy-Preserving Inference
arxiv.org·1d
🔧Systems-level optimizations for LLM serving
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Deep Generative Models for Enhanced Vitreous OCT Imaging
arxiv.org·1d
🔍Retrieval-augmented generation
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EL-MIA: Quantifying Membership Inference Risks of Sensitive Entities in LLMs
arxiv.org·1d
🔧Systems-level optimizations for LLM serving
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Hydra: Dual Exponentiated Memory for Multivariate Time Series Analysis
arxiv.org·1d
📊AI Performance Profiling
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PF-DAformer: Proximal Femur Segmentation via Domain Adaptive Transformer for Dual-Center QCT
arxiv.org·2d
⚙️AI Infrastructure Automation
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MambaNetLK: Enhancing Colonoscopy Point Cloud Registration with Mamba
arxiv.org·1d
🧠Large Language Models (LLMs)
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Accumulating Context Changes the Beliefs of Language Models
arxiv.org·1d
🧠Large Language Models (LLMs)
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Do Math Reasoning LLMs Help Predict the Impact of Public Transit Events?
arxiv.org·1d
🧠Large Language Models (LLMs)
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Stochastic Multigrid Method for Blind Ptychographic Phase Retrieval
arxiv.org·1d
🔍Retrieval-augmented generation
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ReLaX-Net: Reusing Layers for Parameter-Efficient Physical Neural Networks
arxiv.org·1d
⚡Real-time AI Systems
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Text-guided Fine-Grained Video Anomaly Detection
arxiv.org·1d
📊AI Performance Profiling
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Probing Knowledge Holes in Unlearned LLMs
arxiv.org·1d
🔧Systems-level optimizations for LLM serving
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Feature-Guided Analysis of Neural Networks: A Replication Study
arxiv.org·1d
📊AI Performance Profiling
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FreeSliders: Training-Free, Modality-Agnostic Concept Sliders for Fine-Grained Diffusion Control in Images, Audio, and Video
arxiv.org·1d
🧠Large Language Models (LLMs)
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Functional embeddings enable Aggregation of multi-area SEEG recordings over subjects and sessions
arxiv.org·2d
🧠Large Language Models (LLMs)
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