3 papers
cs.AI2026
Search, Fail, Recover: A Training Framework for Correction-Aware Reasoning
Dmitry Beresnev, Vladimir Makharev, Roman Khalikov +2
Many reasoning tasks are not well described by a single left-to-right chain: a solver may need to pursue a plausible branch, observe delayed failure, and return to the latest prefi…
cs.CL2025
RuCCoD: Towards Automated ICD Coding in Russian
Aleksandr Nesterov, Andrey Sakhovskiy, Ivan Sviridov +5
This study investigates the feasibility of automating clinical coding in Russian, a language with limited biomedical resources. We present a new dataset for ICD coding, which inclu…
cs.AI2025
How to Evaluate Medical AI
Ilia Kopanichuk, Petr Anokhin, Vladimir Shaposhnikov +5
The integration of artificial intelligence (AI) into medical diagnostic workflows requires robust and consistent evaluation methods to ensure reliability, clinical relevance, and t…