6 citations · 6 across the 2 of their papers we have counts for
2 papers
cs.LG2025
Call2Instruct: Automated Pipeline for Generating Q&A Datasets from Call Center Recordings for LLM Fine-Tuning
Alex Echeverria, Sávio Salvarino Teles de Oliveira, Fernando Marques Federson
The adaptation of Large-Scale Language Models (LLMs) to specific domains depends on high-quality fine-tuning datasets, particularly in instructional format (e.g., Question-Answer -…
astro-ph.IM2016★ 6 cited
Analysis of the Bayesian Cramer-Rao lower bound in astrometry: Studying the impact of prior information in the location of an object
Alex Echeverria, Jorge F. Silva, Rene A. Mendez +1
Context. The best precision that can be achieved to estimate the location of a stellar-like object is a topic of permanent interest in the astrometric community. Aims. We analyse b…