3 citations · 3 across the 5 of their papers we have counts for
5 papers
RAGe: A Retrieval-Augmented Generation Evaluation Framework
Larissa Guder, João Pedro de Moura, Arthur Accorsi +5
Deploying Large Language Model (LLM) applications, particularly those relying on Retrieval-Augmented Generation (RAG), remains challenging due to high computational demands, outdat…
LOG.io: Unified Rollback Recovery and Data Lineage Capture for Distributed Data Pipelines
Eric Simon, Renato B. Hoffmann, Lucas Alf +1
This paper introduces LOG.io, a comprehensive solution designed for correct rollback recovery and fine-grain data lineage capture in distributed data pipelines. It is tailored for…
Automated Planning for Optimal Data Pipeline Instantiation
Leonardo Rosa Amado, Adriano Vogel, Dalvan Griebler +3
Data pipeline frameworks provide abstractions for implementing sequences of data-intensive transformation operators, automating the deployment and execution of such transformations…
NPB-Rust: NAS Parallel Benchmarks in Rust
Eduardo M. Martins, Leonardo G. Faé, Renato B. Hoffmann +2
Parallel programming often requires developers to handle complex computational tasks that can yield many errors in its development cycle. Rust is a performant low-level language th…
STEAM++ An Extensible End-To-End Framework for Developing IoT Data Processing Applications in the Fog
Márcio Miguel Gomes, Rodrigo da Rosa Righi, Cristiano André da Costa +1
IoT applications usually rely on cloud computing services to perform data analysis such as filtering, aggregation, classification, pattern detection, and prediction. When applied t…