| Time | Title |
|
13:00-13:03 |
Machine learning to predict the risk of target-lesion revascularization after percutaneous coronary intervention |
|
13:03-13:06 |
Cache Saver: A Modular Framework for Efficient, Affordable, and Reproducible LLM Inference |
|
13:06-13:09 |
DIVERGE: Diversity-Enhanced RAG for Open-Ended Information Seeking |
|
13:09-:13:12 |
ReasonBENCH: Benchmarking LLM Reasoning Stability |
|
13:12-13:15 |
Reconciling Divergent Views Through a Critical Analysis of Iterative Self-Improvement in LLMs |
|
13:15-13:18 |
OCR and Machine Translation Pipeline for Low-Resource Sámi Languages |
|
13:18-13:21 |
Auto-segmentation of Pancreas and Pancreatic Tumours for Online MRI-guided Radiotherapy |
|
13:21-13:24 |
Towards fast, accurate performance evaluation of meta optical elements via 3D neural operators |
|
13:24-13:27 |
Software Technologies for Developing Digital Twin of the Sea |
Last Updated 10.06.2026