Juan R. Terven

Can Language Models Learn When to Abstain? Policy Learning and Calibrated Answer Selection

A useful language model should know when to answer and when to say"I don't know."Can we improve that decision by training the model itself or by training a separate component to check its answers? We study both approaches on Qwen3-14B for factual questions, using a score that rewards correct answers, penalizes mistakes...

RAIL: An Automatic Classifier of the Artificial Intelligence Readiness Level

Assessing the maturity of artificial intelligence technologies is essential for investment decisions, project management, and policy monitoring, yet the available readiness frameworks are heterogeneous and difficult to apply automatically: the adaptation of Technology Readiness Levels to AI lacks AI-specific gating cri...

DengueCare: A generative artificial intelligence and fuzzy reasoning approach to improving hospitalization predictions in dengue patients

AutoSort AI for Google Drive: A modular tool for thematic classification of teaching practices using generative AI