SigBERT: Combining Narrative Medical Reports and Rough Path Signature Theory for Survival Risk Estimation in Oncology
arxiv.org·3d
🧠Large Language Models (LLMs)
The Pragmatic Mind of Machines: Tracing the Emergence of Pragmatic Competence in Large Language Models
arxiv.org·3d
🧠Large Language Models (LLMs)
Argumentatively Coherent Judgmental Forecasting
arxiv.org·3d
🧠Large Language Models (LLMs)
Towards Generalized Parameter Tuning in Coherent Ising Machines: A Portfolio-Based Approach
arxiv.org·6d
📊AI Performance Profiling
Fixed-Point-Oriented Programming: A Concise and Elegant Paradigm
arxiv.org·5d
🔧Systems-level optimizations for LLM serving
Predicting Microbial Ontology and Pathogen Risk from Environmental Metadata with Large Language Models
arxiv.org·5d
🧠Large Language Models (LLMs)
Distance and Collision Probability Estimation from Gaussian Surface Models
arxiv.org·4d
⚙️AI Infrastructure Automation
Concrete Security Bounds for Simulation-Based Proofs of Multi-Party Computation Protocols
arxiv.org·4d
💬Prompt optimizations for LLM serving
An Empirical Study on the Amount of Changes Required for Merge Request Acceptance
arxiv.org·3d
🔧Systems-level optimizations for LLM serving
RRTO: A High-Performance Transparent Offloading System for Model Inference in Mobile Edge Computing
arxiv.org·5d
🔧Systems-level optimizations for LLM serving
Dual Cross-image Semantic Consistency with Self-aware Pseudo Labeling for Semi-supervised Medical Image Segmentation
arxiv.org·5d
⚙️AI Infrastructure Automation
Post-Training Large Language Models via Reinforcement Learning from Self-Feedback
arxiv.org·5d
🧠Large Language Models (LLMs)
LVM-GP: Uncertainty-Aware PDE Solver via coupling latent variable model and Gaussian process
arxiv.org·4d
🧠Large Language Models (LLMs)
FedCVD++: Communication-Efficient Federated Learning for Cardiovascular Risk Prediction with Parametric and Non-Parametric Model Optimization
arxiv.org·3d
🧠Large Language Models (LLMs)
Predicting Maintenance Cessation of Open Source Software Repositories with An Integrated Feature Framework
arxiv.org·5d
⚙️AI Infrastructure Automation
Improving annotator selection in Active Learning using a mood and fatigue-aware Recommender System
arxiv.org·3d
🧠Large Language Models (LLMs)
Distributionally Robust Shape and Topology Optimization
arxiv.org·5d
✨Model optimizations in LLMs
Rote Learning Considered Useful: Generalizing over Memorized Data in LLMs
arxiv.org·5d
🧠Large Language Models (LLMs)
Latte: Collaborative Test-Time Adaptation of Vision-Language Models in Federated Learning
arxiv.org·5d
🔧Systems-level optimizations for LLM serving
Enhancing efficiency in paediatric brain tumour segmentation using a pathologically diverse single-center clinical dataset
arxiv.org·4d
🔢Quantization of LLMs