2 citations · 2 across the 3 of their papers we have counts for
4 papers
Proto-ML: An IDE for ML Solution Prototyping
Selin Coban, Miguel Perez, Horst Lichter
Prototyping plays a critical role in the development of machine learning (ML) solutions, yet existing tools often provide limited support for effective collaboration and knowledge…
Do Repetitions Matter? Strengthening Reliability in LLM Evaluations
Miguel Angel Alvarado Gonzalez, Michelle Bruno Hernandez, Miguel Angel Peñaloza Perez +3
LLM leaderboards often rely on single stochastic runs, but how many repetitions are required for reliable conclusions remains unclear. We re-evaluate eight state-of-the-art models…
AI4Math: A Native Spanish Benchmark for University-Level Mathematical Reasoning in Large Language Models
Miguel Angel Peñaloza Perez, Bruno Lopez Orozco, Jesus Tadeo Cruz Soto +3
Existing mathematical reasoning benchmarks are predominantly English only or translation-based, which can introduce semantic drift and mask languagespecific reasoning errors. To ad…
A Flexible Cell Classification for ML Projects in Jupyter Notebooks
Miguel Perez, Selin Aydin, Horst Lichter
Jupyter Notebook is an interactive development environment commonly used for rapid experimentation of machine learning (ML) solutions. Describing the ML activities performed along…