Adaptive Nonlinear Vector Autoregression: Robust Forecasting for Noisy Chaotic Time Series Paper • 2507.08738 • Published Jul 11, 2025 • 1
Agentic Systems in Radiology: Design, Applications, Evaluation, and Challenges Paper • 2510.09404 • Published Oct 10, 2025 • 1
When Judgment Becomes Noise: How Design Failures in LLM Judge Benchmarks Silently Undermine Validity Paper • 2509.20293 • Published Sep 24, 2025 • 8
Merlin: A Vision Language Foundation Model for 3D Computed Tomography Paper • 2406.06512 • Published Jun 10, 2024 • 2
MedVAE: Efficient Automated Interpretation of Medical Images with Large-Scale Generalizable Autoencoders Paper • 2502.14753 • Published Feb 20, 2025 • 1
SMMILE: An Expert-Driven Benchmark for Multimodal Medical In-Context Learning Paper • 2506.21355 • Published Jun 26, 2025 • 10
Expert-level validation of AI-generated medical text with scalable language models Paper • 2507.03152 • Published Jul 3, 2025
Improving Performance, Robustness, and Fairness of Radiographic AI Models with Finely-Controllable Synthetic Data Paper • 2508.16783 • Published Aug 22, 2025 • 1
Story2Board: A Training-Free Approach for Expressive Storyboard Generation Paper • 2508.09983 • Published Aug 13, 2025 • 70
When Do Neural Nets Outperform Boosted Trees on Tabular Data? Paper • 2305.02997 • Published May 4, 2023
MARVIS: Modality Adaptive Reasoning over VISualizations Paper • 2507.01544 • Published Jul 2, 2025 • 13
LiveBench: A Challenging, Contamination-Free LLM Benchmark Paper • 2406.19314 • Published Jun 27, 2024 • 23
TuneTables: Context Optimization for Scalable Prior-Data Fitted Networks Paper • 2402.11137 • Published Feb 17, 2024
ArcheType: A Novel Framework for Open-Source Column Type Annotation using Large Language Models Paper • 2310.18208 • Published Oct 27, 2023