Orlando Marquez

Publications

Fine-Tune an SLM or Prompt an LLM? The Case of Generating Low-Code Workflows. Orlando Marquez, Patrice Béchard, Emily Chen, Maggie Baird, JingFei Chen. At Knowledge Discovery and Data Mining, 2025.

Multi-task retriever fine-tuning for domain-specific and efficient RAG. Patrice Béchard, Orlando Marquez. At Knowledge Discovery and Data Mining, 2025.

Generating a Low-code Complete Workflow via Task Decomposition and RAG. Orlando Marquez, Patrice Béchard. At Conference on AI Engineering (CAIN), 2025.

Reducing hallucination in structured outputs via Retrieval-Augmented Generation. Patrice Béchard, Orlando Marquez. At North American Chapter of the Association for Computational Linguistics (NAACL), 2024.

Paper Cite Video

Azimuth: Systematic Error Analysis for Text Classification. Gabrielle Gauthier Melançon, Orlando Marquez, Lindsay Brin, Chris Tyler, Frédéric Branchaud-Charron, Joseph Marinier, Karine Grande, Di Le. At Conference on Empirical Methods in Natural Language Processing (EMNLP), 2022.

Paper Cite Code Video

S-LLM: Semi-Supervised Large Language Model for Chat Summarization. Issam H. Laradji, Sathwik Tejaswi Madhusudhan, Orlando Marquez, Pau Rodriguez, David Vazquez. At Montreal AI Symposium (MAIS), 2022.